Search Captions & Ask AI

Hurricane fallout, AlphaFold, Google breakup, Trump surge, VC giveback, TikTok survey

October 11, 2024 / 01:24:19

This episode discusses hurricane impacts, climate science, and the recent Nobel Prize in chemistry awarded to Google DeepMind's team. Key topics include Hurricane Milton, climate change effects on hurricanes, and the economic implications for Florida's real estate market.

The hosts, including David Sachs and Chamath Palihapitiya, analyze Hurricane Milton's landfall in Florida, its downgrade from a Category 5 to a Category 1 storm, and the evacuation orders affecting 6 million residents. They highlight the economic damage estimates from recent hurricanes, including Hurricane Helain.

Freedberg explains the science behind hurricane formation, emphasizing the role of ocean temperatures and sulfur dioxide emissions from cargo ships. He discusses how these factors contribute to the increasing frequency and intensity of hurricanes.

The conversation shifts to the economic ramifications for Florida's real estate market, with Sachs detailing the challenges homeowners face regarding insurance costs and property values in the wake of more frequent hurricanes.

Lastly, the episode celebrates the Nobel Prize awarded to DeepMind's team for their work on protein folding, showcasing the intersection of AI and biochemistry.

TL;DR

Hurricane Milton's impact, climate science, and DeepMind's Nobel Prize discussed in episode 199.

Video

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all right everybody welcome back to the
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number one science politics technology
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and business podcast in the world for
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five years running we're about to hit
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200's coming up and a bunch of lunatic
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fans are getting together you can join
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them allin.com
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meetups holy cow we got the domain name
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Allin fantastic go to allin.com meetups
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crazy event for the million subscriber
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this is nuts huh you imagine this thing
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made it to 200 episodes wow we have
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allin.com how much do we spend on this
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this is great guys I negotiated it I got
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it it took me two
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years and I got a sick deal on it I
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don't even want to say because I you
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know I don't want to change it but I
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think I got it don't say I'll just say
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you leave it out I got it
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for or so and that's a million doll
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domain just so we all know five letters
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in the dictionary so good for Branding
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good job J thank you my friend yeah now
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we have allin.com tequila oh I love it
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exactly exactly and you can yum yum yeah
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I got you sax.com didn't I you have the
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domain nam.com I negotiate that for you
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wow we have all the way back to episode
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one this is
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incredible oh the new website yeah this
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is great oh can I tell you if I website
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all allin.com allin.com
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that's our website it's like this thing
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is real yeah it's like a real thing
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after four years we got our sh together
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this looks great here we go and I want
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to give a shout out to podcast AI one of
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our um remember those fake all-in
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episodes that became a startup podcast
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Ai and they built our website for us so
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shout out to the team over there all
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right ladies let's move on and uh I am
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of course your executive producer for
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life and the moderator the all in
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podcast and if I may just a tiny plug if
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you're a found found ER we are having
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our ninth cohort of founder University
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it's a 12we course I teach on starting
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companies what you stop I'm just giving
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a Qui plug for found University I I need
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to get a plug because I go to AR one and
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buy Super gut bars
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$3.99 you can pick them up this
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afternoon let your winners
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[Music]
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ride and instead we open source it to
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the fans and they've just gone crazy
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with love
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you speaking of that your people use me
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in an ad freedberg so don't talk about
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plugs a few weeks ago when I shouted out
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that glue AI was hiring Engineers we had
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like a 100 applications just from that
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from glue AI looking for engine plug on
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the show yeah for glue AI yeah right
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that's awesome for glue Ai and if you
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haven't tried super gut free Berg's team
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literally made an advertisement with me
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talking about super gut it didn't tell
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me and we're still hiring so okay well
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there you have it so go to founder.
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university to apply for my 12we program
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check out I'm running a
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GoFundMe tr get a new yeah go to
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GoFundMe freberg for what more Xanax to
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deal with your panic attacks all right
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let's get started everybody enough of
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the shenanigans hurricane season
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is upon us as freeberg had predicted
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hurricane Milton made land fall on
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Wednesday evening along the west coast
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of Florida as as many of you
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know it's been downgraded it it started
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as a category 5 potentially then a
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category 3 and then it looks like it's a
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category one now so I guess these things
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are quite
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random leading up to Milton though 6
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million Floridians across 15 counties
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were ordered to evacuate that's a lot of
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people moving out and it was a pretty
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powerful storm it ripped off the roof of
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the Tropic Canfield in
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Tampa so far the death toll is at 4 but
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it's expected to rise sadly and just two
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weeks ago hurricane helain swept through
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six Southern States killing over 220
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people tragically devastating Western
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North Carolina and entire towns were
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wiped
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out these are also beyond the tragic
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human losses are economically staggering
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in terms of the losses ACU weather
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estimating the total economic damage
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could be between 145 and 160 billion
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from Helen and Moody estimates the
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property damage alone could be as high
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as 26 billion tons to get into here FEMA
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starlink saving the day tons of stuff
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but free uh back on episode 182 you
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predicted this would happen what's
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causing all this and let's just start
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with the science angle I guess before we
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get into the other political and um
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insurance issues well I think if you'll
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remember when we talked about this a
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couple months ago the sea surface
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temperature was at kind of a record high
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in the Atlantic and warm oan
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temperatures Drive moist air up that
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evaporates the warmer the air the faster
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the evaporation and that starts to cause
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the movement of the air which drives
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ultimately the hurricane and then the
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hurricane sucks up more warm moist from
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the ocean and it creates a feedback loop
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so the more energy you have in the ocean
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the more likely you are to accelerate
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wind forces in storms and that's why you
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get these massive hurricanes that
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suddenly form seemingly overnight go
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like in the case of Hela that hurricane
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went from a c 2 to a c 4 or C 5 in like
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48
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hours because of the energy that's
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stored up and 90% here's an interesting
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stat 90% of the energy that we get from
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the Sun is absorbed and stored in our
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oceans the other kind of fact that's
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playing into this if you pull up that SC
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that nature article and this is
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something that I think you guys may
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remember we talked about so this was an
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article that came out a paper a science
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paper that came out a couple of months
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ago and in this paper these scientists
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identified that removing sulfur dioxide
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from cargo ships that travel across the
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oceans is actually causing accelerated
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warming in the oceans and the reason is
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that the sulfur dioxide forms cloud
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formations and those as they travel
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across the oceans and those cloud
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formations reflect sunlight and in the
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absence of those cloud formations that
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sunlight makes its way into the ocean
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and you get more ocean warming and by
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their estimation removing sulfur dioxide
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which causes acid rain and that's the
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reason it's been pushed to be removed
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and they started removing it in 2020
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2021 from cargo vessels by removing
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sulfur dioxide we are now going to see a
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doubling of the rate of warming of the
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oceans in the 2020s and going forward
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let me pause there for a second just to
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make sure people understand what you're
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saying emissions from cargo ships block
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sunlight which then of course reduces
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the heat absorbed by the oceans and so
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we're now choosing between pollution of
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the air or overheating of the oceans am
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I correct in summarizing that that's
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roughly it and um what is the pollution
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again sorry I just understand dioxide go
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yeah that goes into the fuel of cargo
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vessels and a couple of years ago they
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started to implement these mandates that
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sulfur dioxide no longer be used in the
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fuel as a result when sulfur Dio oxide
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is emitted from these vessels it goes
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into the atmosphere and it actually
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triggers cloud formation so now you have
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these clouds that are forming and Nick's
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going to pull up this image right now
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yeah here you can see that so all of
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these tracks are these cargo vessels
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moving across the ocean and as they move
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across the ocean they create cloud cover
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that cloud cover actually reduces the
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warming in the ocean because it reflects
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sunlight so now that sunlight energy
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gets absorbed into the ocean so this is
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another driving force that some people
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are now speculating maybe accelerating
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the warming of the oceans that we're
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seeing which drives these extreme storm
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and and hurricane events and so this
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becomes a more frequent event now a lot
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of people can I ask you a question does
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that mean that we're mean reverting
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meaning if we improve the quality of the
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fuel source that are used in
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shipping doesn't that then mean that
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we're reverting back to what would have
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happened in the absence of these dirty
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fuel
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sources yeah so in addition no no I'm
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asking I'm asking you the question is
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that true or not um so yes we are no
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longer reflecting as much sunlight and
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so for several decades we had bad fuel
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sources artificial we had artificial
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cooling effec we had an artificial
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Cooling and now we take but that's
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counter to The Narrative of what we all
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think is
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happening oh well the argument is that
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we've actually been warming the
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atmosphere which we have been we can see
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the data that shows that everywhere all
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over the Earth not just about sunlight
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coming in on the oceans and not just
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ocean warming but the the atmosphere is
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warming the planet is warming and so
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this is by by blocking the sunlight
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above the oceans we were artificially
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dampening that effect and we were
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reducing the amount of heat energy that
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was getting into the oceans so now by
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taking that away we're seeing the heat
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energy in the oceans accelerate and now
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the oceans are getting much much warmer
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the pollution was good turn out it the
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Paradox here is that it was creating a
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blocker for sunlight and to your point
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shth exactly like shouldn't we just be
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going back to what was normal but at the
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same time in the same system we had
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heated things up so this is a
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multifactored system uh that we're
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dealing with freedberg and I guess the
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takeaway from all of this is that we got
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to be really careful with what we do
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with the environment right well I mean
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let's talk about economics right so what
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how much real estate do you guys think
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is on the Florida coastline what's the
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real estate value sorry fre can you just
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anchor this like was it that it was
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supposed to be a category five and now
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it's category three when it hit land
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right so what happens typically When
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Storms hit land is they no longer have
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that hot ocean pumping energy back into
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the storm that keeps the feedback loop
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going so the storm cycle starts to break
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down all hurricanes when they hit land
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they start to break apart and so the
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category which measures the wind
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speed actually reduces this is just a
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natural thing that happens but this was
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a category five hurricane when it made
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landfall I believe it was category four
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so you know it was a massive hurricane
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we should not dismiss it because my
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understanding was Helen was Cat 4 when
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it like hit North Carolina but I read
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yesterday that what happened yeah what
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happened with Helen was it was is cat
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three when it hit Tampa or something is
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that not right yeah yeah so that's right
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but what happened when helain hit North
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Carolina it was not a cat four uh what
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happened is as that storm moved Inland
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it hit the the mountains and the first
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Mountain it hit are on Western North
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Carolina that area is elevated there's
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mountains there so when a heavy hot
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storm runs into cold mountains all the
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moisture dumps out it's like it runs
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into it and suddenly everything
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precipitates out of that storm and
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that's why some parts of Western North
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Carolina got like 18 some high some
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people measured as high as 30 inches of
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rainfall in a couple of hours so this
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insane dumping happens when that hot air
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hits cold hits a cold region and
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suddenly everything all that warm
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moisture precipitates out and dumps to
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the ground so it ran into a mountain
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it's effectively why everything fell out
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in North Carolina wa wait so you're
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saying that it wasn't Democrats who
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basically uh right blame me who did it I
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thought Nancy Pelosi cast a spell or
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something and well isn't there a lot of
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geoengineering conspiracy theories uh
00:11:49
going on in your cohort I mean what's
00:11:51
your I don't think so but venod wants us
00:11:53
to be very clear that we need to we need
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to stop all this disinformation that
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somehow Democrats were behind that storm
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well there are we can assure everyone
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that it was just online that there's a
00:12:05
ton of um geoengineering being run by
00:12:08
government agencies to drive these think
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people aren't taking that seriously well
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I mean the or the origin of this though
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freeberg is people have done experiments
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for decades on trying to control the
00:12:20
weather or you know alter the weather
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and and they're doing that in the Middle
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East by seeding clouds and creating more
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rain we saw that with the Dubai floods
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they said that that might have been
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caused by overseeding of clouds which
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they're doing there and then there have
00:12:33
been experiments just to you know for
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the crazy laser people conspiracy the
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theist on X there actually have been
00:12:40
experiments with lasers you know being
00:12:43
shot into hurricanes and storms
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correct are you Alex Jones is that what
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we're doing well no I'm not saying Alex
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Jones I'm just saying that's the origin
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of where people are kind of building on
00:12:54
this there have been okay so so let's
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just talk about the the hurricane the
00:12:58
amount of for you to debunk it is what
00:13:00
I'm doing here yeah putting particulates
00:13:02
in clouds to accelerate
00:13:03
precipitation is I mean we've done that
00:13:06
for hundred years you know you can do
00:13:08
you can increase the precipitation rate
00:13:10
when there's already clouds that have
00:13:11
formed but that has nothing to do with
00:13:14
creating 200 M hour wind speed that
00:13:17
requires an extraordinary amount of
00:13:19
energy all of this energy that the
00:13:20
oceans are like giant batteries and when
00:13:23
a hurricane gets going that battery is
00:13:25
accelerating the hurricane and the
00:13:27
hurricane sucks up more power from the
00:13:28
battery and it creates this incredibly
00:13:30
dynamical system there is no human
00:13:32
created Energy System that can for form
00:13:35
a hurricane a hurricane is an
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extraordinarily powerful natural
00:13:38
phenomenon that arises from the amount
00:13:39
of energy that can come out of very very
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very hot oceans relatively speaking so
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you know that's really where these
00:13:46
hurricanes are coming from now they're
00:13:47
going to be more frequent if the ocean
00:13:49
temperatures remain elevated as they
00:13:50
seem to be and continue to be elevated
00:13:53
and this can be a function of generally
00:13:56
the temperatures warming on Earth
00:13:58
generally the removal of sulfur dioxide
00:14:00
generally these alino linia Cycles
00:14:02
there's a lot of factors but it seems to
00:14:04
be the case that we are having a very
00:14:06
significant trend of continuously warmer
00:14:09
oceans and those continuously warmer
00:14:11
oceans means that we're going to have
00:14:12
what used to be called a one in 500e
00:14:14
storm which is what Asheville is being
00:14:16
termed at one in 500 year these sorts of
00:14:18
storm events can happen every couple
00:14:20
years and we're now looking at one in
00:14:22
100y Year events happening every 2 to
00:14:23
three years in the United States with
00:14:26
the uh the hurricane activity that we've
00:14:27
been seeing I think a lot of conspiracy
00:14:29
theories are built on actual experiments
00:14:31
that happened this one project storm
00:14:33
Fury I'm sure you know about was to try
00:14:35
to modify hurricanes by putting in some
00:14:39
chemicals that would uh freeze them and
00:14:42
dull them so they're they're kind of
00:14:43
building on break it apart yeah break it
00:14:45
apart so you know there there there have
00:14:48
been experiments here with altering
00:14:49
weather altering hurricanes but that
00:14:51
doesn't mean it's Putin Pelosi or you
00:14:55
know the alumin so let's get let's get
00:14:57
back to Brass talk so let's talk about
00:14:59
the economics so there's there's 500
00:15:01
billion to a trillion dollars of real
00:15:02
estate value on the Florida coastline
00:15:05
and what used to be a one in 100 Year
00:15:07
event the average Florida homeowner
00:15:08
historically has been paying about 1% of
00:15:10
the real estate value in insurance so
00:15:12
now if your real estate is likely to be
00:15:14
wiped out one out of every 20 years
00:15:17
instead of one out of every 500 years
00:15:20
the cost of insurance gets to the point
00:15:22
that it is untenable for most people to
00:15:24
pay for their insurance Florida has a
00:15:27
stateb reinsurance provider called the
00:15:29
Florida hurricane catastrophe fund and
00:15:32
this fund issues debt to meet its
00:15:34
coverage demands because it reinsures
00:15:36
insurance companies in order to in
00:15:38
incentivize them to come into the state
00:15:40
and underwrite home owners you should
00:15:41
explain the loop here which is you go
00:15:44
and get a mortgage the bank says you
00:15:47
need to get insurance if I'm going to
00:15:49
lend you the money to buy the home so
00:15:51
then a bunch of insurers need to decide
00:15:54
that they're willing to underwrite that
00:15:55
area and then when they give you that
00:15:57
insurance they then want lay that risk
00:15:59
off and go to reinsure is that the cycle
00:16:02
that's right and what's happening is
00:16:03
they would normally underwrite that risk
00:16:06
they would say this is going to cost
00:16:08
you're going to lose the value of your
00:16:09
home every 100 years or every 200 years
00:16:11
but now the models are showing because
00:16:14
of the frequency of these sorts of
00:16:16
hurricane events and the severity of the
00:16:17
hurricane events that maybe you'll lose
00:16:19
the value of your home once every 20
00:16:21
years or once every 30 years and no
00:16:24
consumer is going to be willing or able
00:16:26
to pay that much for the insurance on
00:16:28
their home so the state over the last
00:16:30
several years has had to step in and
00:16:32
effectively subsidize the insurance and
00:16:35
now the state reinsurance vehicle only
00:16:38
has statutory liability maximum of7
00:16:41
billion in a single Hurricane Season now
00:16:44
I think they got lucky with Milton today
00:16:46
but some were estimating that the Milton
00:16:48
losses were going to be in excess of a
00:16:49
hundred billion bigger than Katrina it's
00:16:52
likely as of this morning the
00:16:53
reinsurance um websites are all saying
00:16:55
it's probably a 40 to 50 billion loss
00:16:58
event still exceeds the state's
00:17:00
reinsurance capacity so you can kind of
00:17:02
think about Florida State's reinsurance
00:17:03
thing being effectively bankrupt it
00:17:05
doesn't really have the capacity to
00:17:07
underwrite the insurance anymore so the
00:17:09
real question for everyone is is the
00:17:11
federal government going to have to step
00:17:13
in and start to support the price of
00:17:15
homes because if they don't well it's a
00:17:16
terrible precedent to set because if you
00:17:18
do it for Florida then you'll have to do
00:17:21
it in Texas and Louisiana and missia
00:17:24
with wild CIA Arizona there's there and
00:17:27
Texas there's going to be no way
00:17:29
to create a clear demarcation of who
00:17:31
gets a bailout and who doesn't which
00:17:33
which will mean that everybody will get
00:17:35
a bailout or nobody gets a bailout
00:17:37
that's right and if everybody gets a
00:17:38
bailout and if you think about how
00:17:40
systematically unpredictable at least in
00:17:42
the southern
00:17:43
states the weather is you're going to be
00:17:45
talking hundreds of billions of dollars
00:17:47
a year probably the total value of all
00:17:49
mortgages in home homeowner mortgages in
00:17:51
Florida is $454 billion and those people
00:17:55
typically have you know a debt to equity
00:17:57
ratio probably on the 50-day 80% range
00:18:00
so if the value of your home dips by 25%
00:18:02
because everyone starts selling their
00:18:03
homes leaving Florida or they can't get
00:18:05
insurance then the people that live in
00:18:08
Florida most of them have their net
00:18:09
worth tied up in their home are going to
00:18:11
see their personal net worth wiped out
00:18:13
or cut in half so it's not just an
00:18:15
economic problem it's a social problem
00:18:17
that now there are so many people that
00:18:19
have put their entire net worth into
00:18:20
their home the value of their home is
00:18:22
written to a point that no longer makes
00:18:24
sense given the frequency at which homes
00:18:25
are going to get destroyed that's
00:18:27
probably the reason why they'll have to
00:18:29
do it because they'll exactly but then
00:18:31
that calculation will have to happen for
00:18:33
every single homeowner in every single
00:18:34
state at where this is this is an issue
00:18:38
yeah wait free are you saying the entire
00:18:40
Florida coastline is no longer
00:18:42
economically viable no it's totally
00:18:44
viable it's just the question is what
00:18:46
are you willing what price at what price
00:18:48
will you pay 5% of your home value for
00:18:50
insurance every year you know will you
00:18:52
pay 2% 3% if the expected life of a
00:18:55
house is 20 years then no that's not
00:18:59
that's not viable it becomes very very
00:19:01
untenable well it used to be one in 500
00:19:03
year now it's proba does this apply to
00:19:05
the entire Coastline or just parts of it
00:19:08
well I mean you saw that the range at
00:19:10
which these events can happen is all
00:19:11
over the place and the and the challenge
00:19:13
is the events are getting more
00:19:16
significant because of this warm ocean
00:19:18
weather that we see this warm ocean
00:19:20
temperature only freberg is that now
00:19:23
people are building the first couple of
00:19:25
floors in highrises in Miami and homes
00:19:28
on stilts with concrete and with
00:19:31
resistant you know saltwater resistant
00:19:32
material so there is a counter to this
00:19:34
so we might be looking investment in
00:19:36
climate resilience that's right yeah so
00:19:38
it might actually be an opportunity to
00:19:40
upgrade all these homes to resistant
00:19:42
ones uh using another set of
00:19:44
Technologies but the bailout is really
00:19:46
interesting to sacks because Florida's
00:19:49
got a lot of Electoral College votes
00:19:51
doesn't it like I I hate to bring this
00:19:53
back to
00:19:54
politics but you know promising people
00:19:57
bailouts is
00:19:59
how these politicians seem to be getting
00:20:01
votes these days yeah but is anyone
00:20:02
talking about a federal bailout I mean
00:20:04
is that this is something you're predict
00:20:06
free BR is saying is that there's a
00:20:08
there's a pretty obvious parade of
00:20:10
Terribles here where the question will
00:20:12
have to be answered one way or the other
00:20:14
because if you only have a17 billion
00:20:16
reinsurance fund and there's 50 billion
00:20:18
of damage somebody's going to have to
00:20:21
come in and cover the Gap and if it's
00:20:22
the insurance companies expect your
00:20:25
insurance premiums to double or triple
00:20:27
that's right and that's what happened in
00:20:28
California and by the way State State
00:20:30
Farm left a lot of California this is
00:20:32
what I was going to say most of these
00:20:34
big insurance companies have already
00:20:35
done the calculus to realize that these
00:20:37
regions are no longer profitable enough
00:20:39
to justify the downside risk that's
00:20:42
bigger problem so then the the ones that
00:20:44
are left are insolvent reinsurers or
00:20:46
insurers that are just funding
00:20:48
short-term arbs because they know that
00:20:51
the odds are they're going to get wiped
00:20:52
out so they'll price gouge effectively
00:20:54
so you know a different example is that
00:20:56
here where I live in Meno Park we're not
00:20:58
in a flood plane we're not in a fire
00:21:01
region none of that stuff but in order
00:21:04
for us to get home insurance you have to
00:21:07
now go through a risk assessment and in
00:21:10
our specific case we were like hey what
00:21:12
should we do with our roof and they were
00:21:13
like you got to take the roof off if you
00:21:15
want home insurance we're like well home
00:21:17
insurance is probably a good thing to
00:21:18
have was it a wood Shake roof on your
00:21:20
house it was a be you saw our house it's
00:21:21
a beautiful wood Shake roof and we had
00:21:23
to remove it and the two choices were a
00:21:26
$350,000 like iron materials yeah or or
00:21:30
like 70k for composite and it's like
00:21:33
this is insane and yeah the cost of
00:21:36
insurance was just egregious in the
00:21:39
absence of going in one anyways we ended
00:21:41
up getting the for most homeowners when
00:21:43
the cost of insurance gets to a certain
00:21:45
threshold you don't have budget for it
00:21:46
you can't afford it and so that's a lot
00:21:48
of why the insurers leave they'll
00:21:49
underwrite anything at any price but
00:21:50
they just know that most consumers can't
00:21:52
afford it here's some other interesting
00:21:53
statistics related but unrelated in the
00:21:55
early 1900s the City of Phoenix Arizona
00:21:58
averaged 5 days a year of temperatures
00:22:01
of 110° or warmer by the 2010s Phoenix
00:22:05
averaged during the 2010s 27 days a year
00:22:08
where the temperature was 110 or higher
00:22:12
since 2021 Phoenix average plus days 42
00:22:16
days and in 2024 it's been 70 days so
00:22:19
far this year that the temperature is
00:22:21
over 110 so this is affecting and so
00:22:23
there's there's increased risks in
00:22:25
California with wildfires increased risk
00:22:26
with hurricane there are a lot of these
00:22:28
factors and I have friends that work in
00:22:30
reinsurance and in the insurance markets
00:22:32
even even if you don't get affected by a
00:22:34
wildfire or disaster when that that
00:22:37
article was in the Wall Street Journal
00:22:38
it I think it said that the the number
00:22:40
of average days above a hundred was like
00:22:42
hundred something yes and right and the
00:22:45
Prof they profile this retired woman who
00:22:47
is an insurance adjuster or something
00:22:50
and the whole point of the article was
00:22:51
not that her her house was destroyed or
00:22:53
at risk but the cost of electricity has
00:22:55
gone just absolutely skyh High even with
00:22:57
solar pan even with storage you need to
00:23:01
basically lean on the grid and the grid
00:23:04
now just charges you an exorbitant
00:23:06
amount of money and so these these folks
00:23:07
were paying thousands of dollars a year
00:23:09
so if you imagine the the trifecta you
00:23:13
have all of this climate risk that could
00:23:15
destroy your home you're paying an
00:23:17
enormous premium for home insurance and
00:23:19
then you're paying an enormous premium
00:23:21
for electricity from the mainline power
00:23:23
utilities it's it's not sustainable yeah
00:23:27
and just for back
00:23:29
FEMA manages something called the nfip
00:23:31
national flood insurance plan and it's
00:23:36
historically about 50% cheaper than
00:23:38
private flood insurance they have 4.7
00:23:40
million active policies providing 1.3
00:23:43
trillion in coverage but they instituted
00:23:46
a new risk assessment system and that
00:23:48
caused rates to increase
00:23:50
and yeah it's uh because of all this the
00:23:54
policies have decreased over the last
00:23:56
couple years meaning less people have
00:23:57
flood insurance at the same time that
00:24:00
these things are getting worse and so
00:24:04
yeah this is a really tough issue I
00:24:06
wonder if this is an opportunity
00:24:09
chth if you think about historically how
00:24:13
Insurance worked it worked in
00:24:14
communities where people would help each
00:24:16
other out and do barn raising kind of
00:24:19
events when somebody had a problem so if
00:24:21
we just put on our entrepreneurial hats
00:24:23
here if you look at the cost of
00:24:25
insurance if a hundred different people
00:24:27
bundled the cost of their homes together
00:24:29
put money into some sort of platform
00:24:32
like an Uber Airbnb Marketplace and
00:24:34
there was some management structure here
00:24:36
of self- insurance because I know some
00:24:37
people are doing self- insurance for
00:24:39
healthare at their companies for this
00:24:40
kind of thing do you think there's going
00:24:41
to be a new business opportunity here
00:24:46
exist Jason it's called a mutual and
00:24:48
those are like a good chunk of the
00:24:50
industry are mutuals where it's uh the
00:24:52
shareholders are the members and they
00:24:54
all share the risk and the ownership the
00:24:56
problem is those things work because
00:24:58
have broad Geographic coverage if you
00:25:00
had to go just into Malibu and
00:25:03
self-insure the rates would literally be
00:25:06
the greater than the value of the home
00:25:07
right no one would pay into it so you
00:25:09
actually if you do proper underwriting
00:25:11
what's happened in the last couple of
00:25:12
years is all the reinsurance companies
00:25:13
and all the insurance companies have had
00:25:15
to reer write the rates that they charge
00:25:16
for insurance because the frequency of a
00:25:19
disaster has gone up and the new price
00:25:22
that they should be charging is so high
00:25:23
it doesn't matter how the capital
00:25:24
structure is set up it's simply there's
00:25:27
there's one big event that's going to
00:25:29
cause a big wipe out for a large number
00:25:31
my personal belief is I think that the
00:25:33
the real estate markets in some of these
00:25:35
places are um meaningfully mispriced and
00:25:41
specifically what I mean is that they're
00:25:42
massively overpriced that's right
00:25:44
because I think when you actually
00:25:45
account for the climate damage and the
00:25:49
long-term Financial stability of the
00:25:52
insurers and the
00:25:53
reinsurers I don't think that many of
00:25:56
the markets that have seen the
00:25:59
crazy sky high prices I'll name two to
00:26:00
be specific West Palm Beach and Malibu
00:26:05
so both ends of the coasts these things
00:26:07
just don't make sense and I think people
00:26:10
view these things as Investments but on
00:26:12
the west coast when you deal with things
00:26:13
like soil erosion and other things I
00:26:16
think it's a there's it's a Calamity
00:26:18
waiting to happen and I think on the
00:26:19
East Coast when you factor in the
00:26:22
extreme weather conditions even Jason
00:26:24
your comment about rebuilding these
00:26:26
homes in a more foolproof way doesn't it
00:26:28
because it you won't be able to rebuild
00:26:31
the entire State there's a lot of people
00:26:33
that just can't afford it there's a lot
00:26:36
of folks that will not have adequate
00:26:40
coverage so I just think these are
00:26:42
disasters waiting to happen
00:26:43
unfortunately yeah it's uh and saxs
00:26:46
there's a movement right
00:26:48
now a lot of people even of means are
00:26:51
renting their homes and so in the real
00:26:54
estate market what are your thoughts on
00:26:55
that just renting versus buying now
00:26:58
becoming like a something that you know
00:27:02
people in the in the top half of
00:27:04
homeowners or potential home owners are
00:27:06
now electing to not own their home and
00:27:08
rent have you been mon honestly I hadn't
00:27:10
heard that I mean the the trend that I
00:27:13
thought was happening was that you had
00:27:14
these big funds like black rock or
00:27:17
whatever buying up huge numbers of homes
00:27:19
and then running them to low-end homes
00:27:21
yeah lowend or medium yeah you know to
00:27:24
families I thought that's what was going
00:27:26
on I hadn't heard that that's the high
00:27:28
end of the range that people were
00:27:30
running well if you think about it like
00:27:31
there's there seems to be a cap when you
00:27:33
have a $10 million home of what you can
00:27:35
possibly rent it for and it's it's the
00:27:38
the the prices are now making more s to
00:27:41
keep more sense to keep your money in
00:27:42
the market or in other places and then
00:27:45
rent I'm just hearing are are you long
00:27:47
real estate in Florida or Coastal
00:27:50
California if you could or do you treat
00:27:51
them differently I think they're
00:27:53
different but Florida's like I mean I
00:27:56
don't know how you do the math
00:27:59
on I just don't know what you do on a
00:28:02
trillion dollars of real estate value
00:28:04
with half a trillion of
00:28:06
mortgages when you have real exposure on
00:28:09
loss more frequently than one in 100
00:28:11
years they're to your point they need to
00:28:13
be repriced and how do you repic those
00:28:16
homes in the significant level that they
00:28:17
need to be repriced without causing
00:28:19
massive economic and social consequence
00:28:22
that's what's that's what's kind of I
00:28:23
think challenging me in thinking about
00:28:25
what's the path here so is a was a good
00:28:27
thing that I sold sold my Miami place
00:28:29
last once again Sak makes a great trade
00:28:33
pretty awesome well done SX top ticked
00:28:35
it again well done Saxy poo just like
00:28:40
beep I really love I love that house on
00:28:43
the you love that house where do you
00:28:45
think I stayed when I was in town you're
00:28:47
so selfish I lost a I lost a place to
00:28:51
stay I mean the yacht access alone being
00:28:54
able to get out on the bay and get on a
00:28:55
boat the ski do all this great stop H
00:29:00
all right let's uh let's keep the
00:29:01
freeberg train going here huge news
00:29:03
Alpha creators just won a Nobel Prize in
00:29:06
chemistry two members of Google's
00:29:08
deepmind AI research team Demis hassabis
00:29:11
and John jumper received this year's
00:29:14
Nobel Prize in
00:29:16
chemistry they both work for Google's
00:29:18
deep mine as you know and freeberg again
00:29:21
all in getting there first explained
00:29:23
what Alpha fold was back on episode 14
00:29:27
in December
00:29:28
of 2020 that was almost four years ago
00:29:32
freeberg maybe um you could explain did
00:29:34
we did we predict that they would win
00:29:36
the Nobel Prize at the time I believe
00:29:37
you did we'll go check the receipts
00:29:40
using search Eng it was it became it
00:29:43
became much more likely that they would
00:29:45
win the Nobel after they won the
00:29:46
Breakthrough prize I mean just to just
00:29:49
to point this out but yeah yeah shout
00:29:51
out Yuri M shout out Yuri and Julia and
00:29:54
Julia because when those guys won that
00:29:57
award for
00:29:59
2023 and you you heard the extent of
00:30:03
what they've done it was almost like
00:30:06
obvious that they were going to win a
00:30:07
Nobel after the fact so I think the
00:30:09
really interesting thing is actually in
00:30:11
this community I think the Breakthrough
00:30:13
prize is actually meaningfully more
00:30:15
relevant and a positive directional
00:30:17
indicator to breakthrough science well
00:30:18
it's kind of like winning Sundance or
00:30:21
can you win the Palm Door you become a
00:30:23
favorite to win at the Oscars right in
00:30:26
the Academy Award so that's actually
00:30:27
interesting the Regional or more
00:30:29
industry Centric award could lead to the
00:30:31
next one so freeberg just explain to us
00:30:34
why this is so important before we I
00:30:35
just think it's much more rigorous than
00:30:37
the Nobel I think the Nobel can be a
00:30:39
little bit gained I think oh interesting
00:30:41
okay what do you think freeberg explain
00:30:43
to the audience why this is important
00:30:45
and and what's transpired we talked
00:30:47
about it four years ago there's been a
00:30:50
long challenge in Biochemistry on
00:30:54
understanding or predicting or
00:30:57
visualizing
00:30:58
the threedimensional structure of of
00:31:00
proteins because remember proteins are
00:31:03
produced by long chains of amino acids
00:31:06
and those amino acids are kind of create
00:31:09
like a bead beaded necklace and then the
00:31:11
whole necklace collapses on itself in a
00:31:13
very specific way and that
00:31:15
three-dimensional molecule that big
00:31:17
chunky protein does something
00:31:18
structurally physically and so trying to
00:31:21
understand the shape of a protein is
00:31:24
really hard I mean we've used kind of
00:31:25
X-ray Imaging systems to try and identif
00:31:28
it and tried to build models to identify
00:31:30
how does that quote protein folding work
00:31:32
how do those amino acids collapse on
00:31:33
each other to create that
00:31:35
threedimensional construct and if I
00:31:36
don't know if you guys remember in the
00:31:37
early 2000s there was a Stanford folding
00:31:40
at home distributed computing project do
00:31:42
you guys remember this yeah it would use
00:31:45
people's machines and extra CPU like the
00:31:47
set at home project to precisely yeah
00:31:50
exactly right yeah so it's like it ran
00:31:51
on the background of your computer it
00:31:52
used your CPU Cycles when you weren't
00:31:54
using your computer and it tried to
00:31:56
model protein folding and so this has
00:31:58
been a a problem that folks have tried
00:32:00
to tackle with compute for decades to
00:32:03
figure out the 3D structure this is so
00:32:05
important because if we can identify the
00:32:07
3D structure of proteins and we can
00:32:09
predict them from the amino acid
00:32:11
sequence we can print out a sequence of
00:32:14
amino acids to make a protein that does
00:32:16
a specific thing for us and that unlocks
00:32:19
this ability for humans to create
00:32:20
biomolecules that can do everything from
00:32:22
binding cancer to breaking apart
00:32:25
pollutants and Plastics to you know
00:32:28
creating entirely new molecules to
00:32:31
running in some cases like what David
00:32:32
Baker did at University of Washington he
00:32:34
shared the Nobel Prize creating micro
00:32:36
Motors mini motors from proteins that he
00:32:39
designed on a computer and so this
00:32:41
becomes I think this great like big Holy
00:32:43
Grail in Biochemistry and the alpha fold
00:32:46
project at at Deep Mind inside of Google
00:32:48
solved this problem and and by the way
00:32:50
since since then they've come out with
00:32:51
Alpha fold 3 they've launched a drug
00:32:54
Discovery company called isomorphic Labs
00:32:56
where they're basically basically
00:32:58
predicting molecules that will do
00:32:59
specific things for a Target indication
00:33:02
and then they use the alpha fold models
00:33:04
to actually design and develop those
00:33:06
molecules and there have been literally
00:33:09
dozens of companies that have been
00:33:10
started since Deep Mind was published
00:33:13
and probably several billion dollars of
00:33:15
capital that's gone into companies that
00:33:17
are creating new drugs creating new
00:33:18
industrial biotech applications using
00:33:20
this protein modeling capability that
00:33:22
was Unleashed with Deep Mind a number of
00:33:24
years ago so it really has transformed
00:33:26
the industry it'll be a couple years
00:33:27
before we see a transform the world but
00:33:30
uh it's it's it's an exciting kind of
00:33:31
thing yeah not to um virtue signal here
00:33:34
but those are plus-size proteins now
00:33:36
freeberg they don't like being called
00:33:37
chunky you got to call them plus-sized
00:33:39
proteins plus- siiz proteins yes one one
00:33:42
really difficult technical question for
00:33:44
your free B is there any way for you to
00:33:46
take this amazing breakthrough uh and
00:33:48
make saaks interested in it is there any
00:33:51
possible Vector here for it relate to
00:33:54
Sachs and get him off his BlackBerry
00:33:57
right now
00:33:58
Blackberry I think he's playing chess
00:34:00
with TL and JD Vance is watching them
00:34:03
play chess I think that's what's going
00:34:05
on right now it's really hard I mean the
00:34:06
poor audience here is watching saaks
00:34:08
looking down all right let's keep this
00:34:10
train moving here enough of the
00:34:12
shenanigans anyway congrats to the teams
00:34:15
the
00:34:16
very I mean it's just great and David
00:34:18
Baker at the baker lab in University of
00:34:20
Washington also breakthrough Prize
00:34:22
winner yeah what's interesting to me is
00:34:25
like these two nobels these guys but
00:34:28
also Jeffrey hinton's you know you're
00:34:31
really seeing now the convergence of the
00:34:34
hard sciences and computer science
00:34:36
totally in a really meaningful way and I
00:34:38
think that that's so interesting and
00:34:40
cool I think in the group chat chth you
00:34:43
had an interesting hey maybe there
00:34:44
should be a computer science
00:34:46
award for you know a Nobel computer
00:34:49
science award and uh I actually think
00:34:51
it's the opposite now which is that it's
00:34:53
amazing to see folks using computers
00:34:58
to improve our understanding of the
00:34:59
Natural Sciences and I think that that's
00:35:01
a really great place to be so what Demis
00:35:04
and John and David are doing in the life
00:35:06
science is amazing What Jeffrey Hinton
00:35:08
you know did you know TW 30 and 40 years
00:35:11
ago and 20 years ago in terms of
00:35:13
training deep neural and that's also
00:35:15
really amazing in related new all
00:35:17
computer based yeah all computer based
00:35:18
and in related news Benny off just
00:35:20
nominated himself for excellence in CRM
00:35:23
management so congratulations to Benny
00:35:25
off on nominating himself for a what is
00:35:28
that com a why are you attacking Benny
00:35:31
off a the audience what did he do
00:35:35
wrong it's a joke they're just jokes
00:35:38
have you not learned anything from the
00:35:41
people that attack you it's not an
00:35:43
attack it's a joke Ben off has done so
00:35:45
much for philanthropy just ask him if
00:35:49
you dude he's doing the best can doing a
00:35:52
great job how I got Dr with exactly can
00:35:55
you people have a sense of humor about
00:35:57
no but it's not even it's not even funny
00:35:59
if you had said something else I mean
00:36:02
okay give me a give me a funnier nobell
00:36:04
go ahead go runs a 300 billion market
00:36:07
cap he's chomping the bit to come back
00:36:09
on the Pod and explain why AI is not
00:36:12
going to disrupt SAS really oh we see he
00:36:14
wants to be back on the he's texting me
00:36:16
he wants to come on we'll check in we'll
00:36:18
check in in a hundred billion dollar
00:36:21
sh he had his chance that chance is
00:36:23
closed he shot his shot and it did not
00:36:26
land that door was when he insulted our
00:36:28
guests about not being able to afford
00:36:30
dis when he called you all in people
00:36:33
pores oh my God now you're piling on
00:36:36
anybody coming to dream Forest 2025 okay
00:36:38
let's move on sorry anyways leave Benny
00:36:41
off alone J it's like leave Britney
00:36:45
Alone that famous meme leave Benny off
00:36:48
alone so how many new enemies do you
00:36:50
want to
00:36:51
create I just just jokes they're just
00:36:55
jokes this when you thought was running
00:36:58
out of feuds you know I'm not in the
00:37:00
feud with anybody I'm making stupid
00:37:02
jokes the reason people tune in is
00:37:05
because you laugh and learned did you
00:37:06
guys see that that tweet that uh
00:37:09
somebody suggested throwing a conference
00:37:11
with all of J Cal's haters Jason
00:37:15
con
00:37:17
jcon jader jader convention what is it
00:37:21
called Jers Jers yeah J yeah J haters
00:37:25
Jers yeah I'd like to shout out my Jers
00:37:27
they're just jokes folks I love you Mark
00:37:31
I'm Penny off oh come on the Pod
00:37:34
zck I think somebody could launch a
00:37:36
successful Summit just doing that it's
00:37:38
like it's like a readymade
00:37:40
audience and they're clearly passionate
00:37:43
clearly passionate all the YC Founders
00:37:45
will be there keynote day one Palmer
00:37:48
lucky keynote day two David
00:37:53
Sachs I think it would rival the all in
00:37:55
Summit in terms of The Passion of the
00:37:57
fans three of us would show would be so
00:38:01
devastated I think it's
00:38:04
hilarious i' have
00:38:06
to Benny off I like Benny off what I
00:38:10
don't I'm trying to make enemies with
00:38:11
Benny off he's just got to have a sense
00:38:13
of humor oh my gosh Megan Kelly special
00:38:17
chat Megan Kelly and fmer lucky wait
00:38:20
does Zuck hate you too why did zck oh my
00:38:22
God Jal was just so I was brutal to Zuck
00:38:25
in the early days brutal yeah why well
00:38:27
he just
00:38:28
anyway we'll get to it later but you're
00:38:29
right like you know throwing a
00:38:30
conference for Jay haters would just be
00:38:33
like a ready made Jers Jers that is an
00:38:35
underserved and passionate demographic
00:38:38
it would be bigger than passionate
00:38:39
demographic just just look at Sax's
00:38:42
replies Community with shared values hey
00:38:44
man if I can get 25% of those ticket
00:38:46
sales I'm in let's go all right let's
00:38:50
keep the train moving
00:38:51
here we have an update on the doj's
00:38:54
antitrust suit with Google looks like
00:38:57
they're going for the breakup as chamath
00:39:01
predicted you remember the Bloomberg
00:39:03
report back in August we covered it on
00:39:06
episode2 Google is found liable for
00:39:08
maintaining a monopoly in Search and
00:39:10
digital ads now the doj is
00:39:13
working on the remedy right okay they're
00:39:16
guilty so now comes time for the remedy
00:39:18
and the doj is quote this from Bloomberg
00:39:21
considering asking a federal judge to
00:39:24
force Google to sell off parts of its
00:39:26
business and according to this filing
00:39:29
the doj is specifically considering
00:39:31
structural remedies that would prevent
00:39:33
Google from using products such as
00:39:35
Chrome Google Play That's the App Store
00:39:37
on Android and Android itself to
00:39:40
Advantage Google search 32-page document
00:39:43
released by the doj Lays out several
00:39:46
options and we'll go through them and
00:39:47
talk about them here the obvious one
00:39:50
terminating Google exclusive agreements
00:39:53
with Hardware companies like apple
00:39:54
they're the default search engine there
00:39:56
for 30 or 40 billion a year Samsung
00:39:58
that's a layup uh separating Chrome and
00:40:00
Android my God that would be drastic
00:40:02
ripping that out of the Google ecosystem
00:40:05
prohibiting certain kinds of Data
00:40:07
Tracking that's a layup as well or other
00:40:10
behavioral and structural changes for
00:40:11
the company I'm going to pause there
00:40:13
freedberg and get your thoughts on this
00:40:15
as a former googler and you interviewed
00:40:18
Sergey at the summit but I don't think
00:40:20
we talked to seray about this because
00:40:22
obviously he would not be able to talk
00:40:23
about it so what are your thoughts here
00:40:25
on a potential REM
00:40:27
I think we've talked about this I mean
00:40:29
look I've shared in the past my belief
00:40:33
that companies that are big that have
00:40:35
excess Capital that then invest that
00:40:37
excess capital in R&D can be a net
00:40:39
benefit for all of us look at Bell Labs
00:40:42
Bell Labs had a monopoly on through
00:40:46
their association with
00:40:49
AT&T with developing radar microwave the
00:40:53
transistor integrated
00:40:55
circuitry information Theory
00:40:57
everything that is the basis of the
00:40:59
internet Computing even nuclear
00:41:02
technology and so on it's because they
00:41:04
had this extraordinary Capital flow from
00:41:07
the scale of the business and they were
00:41:08
able to invest in R&D similarly Google
00:41:11
Acquired and invested for many many
00:41:13
years in Deep Mind and we just talked
00:41:15
about how demison team won the uh uh the
00:41:18
Nobel Prize for the work that they did
00:41:20
and they by the way published the
00:41:22
protein structure for 200 million
00:41:24
proteins for free out of that service I
00:41:27
just want to zoom out for a minute and
00:41:29
talk about the fact that this isn't
00:41:32
about you know whether Google has a
00:41:34
monopoly in search that prohibits
00:41:35
competition or in ads that prohibits
00:41:38
competition but are do is it really
00:41:41
worth penalizing any company that's big
00:41:44
particularly do we lose the benefit of
00:41:45
those big companies investing in
00:41:47
technology that pushes us forward Google
00:41:49
also invested in whmo for years and
00:41:50
years and years which arguably spurned
00:41:54
and drove investment from many other
00:41:56
companies in self-driving technology and
00:41:58
if Google hadn't done that would
00:41:59
self-driving have taken off the way it
00:42:01
did I don't know same with Kitty Hawk
00:42:03
and Larry's investment in EVs and that
00:42:05
that spawned a lot of evall investing
00:42:08
and similarly if you think about Amazon
00:42:10
and their investment in AWS where they
00:42:11
were burning cash for many
00:42:13
years that turned out to spawn arguably
00:42:17
a lot of interest and investment in
00:42:19
cloud and so I I don't think that these
00:42:21
big companies are bad just because
00:42:23
they're big I think we should take apart
00:42:25
the monopolistic antitrust
00:42:27
actions and behaviors that they take and
00:42:29
then identify ways to remedy those
00:42:31
behaviors verus just saying or that's
00:42:34
big should be taken apart because there
00:42:36
is a tremendous benefit to be gained
00:42:38
from the R&D dollars that they all put
00:42:40
into things that you know move the whole
00:42:42
industry forward and I think that
00:42:44
leadership's important to need it
00:42:45
otherwise if you got a bunch of startups
00:42:47
that are trying to get $10 million
00:42:49
checks from VCS I'm not sure they're
00:42:50
going to build AO and I'm not sure
00:42:51
they're going to build Amazon Cloud and
00:42:54
I'm not sure they're going to build a
00:42:55
deep mind you know protein folding
00:42:57
company and publish it for free so I
00:42:59
don't know that's just my point of view
00:43:01
onam what's the likely how we should
00:43:03
think about this stuff jth you kind of
00:43:04
nailed this one pretty good with these
00:43:07
predictions tell us we'll be sitting
00:43:08
here five years from now what will have
00:43:13
occurred unfortunately not what freeberg
00:43:16
just said it'll be the opposite there'll
00:43:18
be some form of forced remedy I'm
00:43:21
sympathetic to freeberg argument I don't
00:43:23
think that it's really a good thing in
00:43:25
the end because I do think there are
00:43:26
some incredible
00:43:28
examples of Google specifically
00:43:32
reinvesting in a way that's really added
00:43:34
value in the
00:43:35
world I think the problem though is
00:43:39
that the Technology Innovation cycle has
00:43:42
gotten too elongated so you're not
00:43:46
seeing creative destruction be the
00:43:48
natural force that keeps all of these
00:43:51
companies in their own swim lanes and so
00:43:54
they are allowed to become two and too
00:43:58
profitable and I think it becomes an
00:44:01
obvious Target for politicians I think
00:44:04
that's a really good observation there
00:44:07
about the timeline of this because if
00:44:10
you look at this I have started now and
00:44:13
I know many people are starting their
00:44:15
search Journey on Claude and chat GPT
00:44:18
every day I'm doing 30 40 50 queries and
00:44:20
follow-ups per day I force my entire
00:44:23
team to do that as well and so just as
00:44:27
there's an actual viable competitor to
00:44:29
Google this action has reached I don't
00:44:32
know the halfway mark this is going to
00:44:35
wind up being completely meaningless
00:44:36
saxs if chat GPT does build a viable
00:44:40
competitor coexist that siphons off
00:44:43
search am I wrong
00:44:46
here well it is ironic that frequently
00:44:50
the government takes actions on these
00:44:52
monopolies at precisely the moment
00:44:54
they're subject to the greatest
00:44:55
disruption totally same thing happened
00:44:57
with Microsoft in a way but it was still
00:44:59
a good thing that the government acted
00:45:01
when it did because there was a risk of
00:45:03
Microsoft porting over its desktop
00:45:05
Monopoly into this new era of the
00:45:07
internet I think it's still a good thing
00:45:08
to be looking at breaking up Google I
00:45:10
actually think that would be good at the
00:45:11
end of the day it might even be good for
00:45:13
shareholders this thing should be
00:45:15
probably three separate companies like
00:45:16
we've talked about in our previous show
00:45:18
but it is true that Google is facing the
00:45:21
most existential threat to its search
00:45:23
Monopoly and it is Monopoly in the form
00:45:26
of
00:45:27
open AI at this point in time I have one
00:45:30
final thought here and piece of advice
00:45:32
for Sergey and the team over there and
00:45:34
and I told Sergey directly they have to
00:45:36
get good at making apps to go use chat
00:45:40
GPT you take out the app and it's a
00:45:42
wonderful beautiful experience when you
00:45:44
go try to figure out how to use Gemini
00:45:47
it's like shoehorned into search results
00:45:49
and then it's like some subdomain that's
00:45:51
why people aren't using it Go by The
00:45:53
Domain in chat.com and make a dedicated
00:45:55
app just for and I kick ass you're 100%
00:46:00
right you suck at apps we said this when
00:46:04
when you asked about the bare case of
00:46:06
open
00:46:07
AI if the doj is going to go after
00:46:11
Google and by the way the interesting
00:46:13
thing Jason and I mentioned this to you
00:46:15
is that in the same article that floated
00:46:18
the trial balloon about this remedy of a
00:46:20
Google breakup the headline in the Wall
00:46:22
Street Journal which I think was very
00:46:23
purposeful said Google and meta so I
00:46:26
think that they have given their
00:46:28
brothers they being the powers that be
00:46:30
at Washington will probably want to take
00:46:33
a run at both of these companies they'll
00:46:35
start with the one that they think they
00:46:37
can disassemble the quickest and then
00:46:40
they'll go to meta
00:46:41
afterwards my strong advice to meta and
00:46:46
Google is if this is going to
00:46:50
happen you got to go out kicking and
00:46:54
punching and fighting and scratching and
00:46:56
I think the most thing is what you just
00:46:57
said Jason which is you are the front
00:47:00
door through the
00:47:01
internet and there is this completely
00:47:04
new emerging
00:47:06
technology and where is the same
00:47:09
response to chat
00:47:11
GPT that you had to X or that you had to
00:47:15
Snapchat or that you had to Tik Tok
00:47:18
because if it's going to happen it's
00:47:19
going to happen and then you might as
00:47:21
well just go for it yeah build the apps
00:47:24
make them kick ass make the chat G PT
00:47:27
alternative and get it to billions of
00:47:29
people
00:47:31
yesterday that would be the most logical
00:47:35
Game Theory thing to do to build up a
00:47:39
pool of users that you will rely
00:47:42
on
00:47:43
when the doj tries to come with some
00:47:46
consent decree or whatnot so this is the
00:47:48
time to build up the Assets Now as
00:47:51
aggressively as possible yeah and uh
00:47:53
selling YouTube would be the ultimate I
00:47:55
know that the ad Network you pointed out
00:47:57
free bar are connected but if they
00:48:00
distributed if they SP out I'll give you
00:48:02
I'll give you something about the ad
00:48:03
thing can you imagine $500 billion going
00:48:06
into Google's coffers in YouTube shares
00:48:09
they have 500 billion in cash
00:48:12
chamal I had a I talked to a company he
00:48:15
a CEO of a of a public consumer facing
00:48:18
company and this
00:48:19
was in the context of some 8090 stuff
00:48:24
and he said that he and and two other
00:48:27
CEOs the three of them you guys would
00:48:30
all know these are very big companies
00:48:32
the three of them combined are
00:48:33
particularly large and they said they've
00:48:35
had multi-year road maps to try to build
00:48:39
a reasonable set of tools in advertising
00:48:41
and it's been
00:48:42
impossible and partly why is that the
00:48:45
the tools that the big folks offer are
00:48:48
so good that they just cannibalize and
00:48:50
run over the entire market and so what
00:48:52
they hear from CMOS is we would love to
00:48:55
advertise on your company your site but
00:48:57
a your tools are substandard and B even
00:49:00
though your inventory is cheaper you
00:49:02
just don't give us the same scale and
00:49:05
breath that we get in these other big
00:49:06
places I'm not saying that that's either
00:49:09
right or wrong but through the lens of
00:49:12
probably what the doj sees is when a lot
00:49:14
of these folks write letters to them
00:49:16
talking about what they're going through
00:49:17
this is what they're saying and I
00:49:20
suspect that if you could actually have
00:49:23
a more fragmented Market in some of
00:49:26
these key Market markets it's going to
00:49:27
be a little bit easier for these smaller
00:49:29
companies to have a business now you
00:49:31
could say well tough luck you tried and
00:49:33
you couldn't build it I get that
00:49:34
argument and I and I think that that at
00:49:36
some point that is legitimate but the
00:49:37
problem is if you're public and you're
00:49:39
trying to make your company profitable
00:49:41
what do your engineers want to work on
00:49:43
they want to work on consumer facing
00:49:44
forward features and so what always
00:49:46
falls off the list it's the stuff at the
00:49:48
end the tech yeah and so anyways it's
00:49:51
this recursive negative Loop that a lot
00:49:52
of these other companies are in in the
00:49:55
shadow of these big companies that I
00:49:56
think is going to cause the doj to try
00:49:58
to do something you know this is a great
00:50:00
setup for m&a it's a great setup for
00:50:02
IPOs starting to look like and this is a
00:50:05
multi- Administration case that's been
00:50:08
going right I think this started under
00:50:10
Trump went into Biden and is now going
00:50:12
to continue on to Trump or or
00:50:14
Harris so what are your thoughts here
00:50:18
Sachs well in terms of the political
00:50:20
environment for m&a next year yeah yeah
00:50:22
I mean so obviously it depends which
00:50:24
administration's in power
00:50:26
a lot of Democrats you know prominent
00:50:29
Democrats in Tech like Mark hubin or
00:50:31
Reed Hoffman have been making the case
00:50:32
that if kamla is President she's going
00:50:35
to be much more hospitable and friendly
00:50:38
towards m&a and they've been saying
00:50:40
explicitly that they want Lena KH fired
00:50:43
well in response to that AOC just came
00:50:45
out and said we're gonna have a
00:50:46
Throwdown if you do that so I don't go I
00:50:50
would not expect a substantial
00:50:52
difference or Improvement in the in the
00:50:55
regulatory permissiveness uh towards m&a
00:50:59
if uh if we have a democratic
00:51:01
Administration if that if you have Trump
00:51:04
in office next year I think that there
00:51:07
there will be an opening up of of m&a I
00:51:09
think the Republicans have their own
00:51:11
issues with big Tech but those issues
00:51:13
tend to revolve around censorship and
00:51:16
bias and search results and llms things
00:51:18
like that as opposed to bigness per se
00:51:21
so I think it will be easier to get m&a
00:51:24
done next year if you have a republican
00:51:26
Administration absolutely I am going to
00:51:28
be printing money in a trump
00:51:30
Administration it is going to be obscene
00:51:32
how many m&a deals and IPOs are going to
00:51:34
occur there is such a huge
00:51:37
backlog but I do think there I do think
00:51:39
the Democrats want to get this moving as
00:51:41
well and I I was talking to Reed Hoffman
00:51:44
uh and you and Peter teal in the
00:51:46
Illuminati meeting and they voted 190
00:51:48
to2 to replace lenina Con in the
00:51:50
Illuminati meeting chamat why didn't you
00:51:52
make the Illuminati meeting last week
00:51:54
I'm shocked that you weren't there I'm
00:51:55
not I'm not inv to that people don't
00:51:58
know that you're being fous Jason oh
00:52:00
really they don't understand that I'm
00:52:01
joking about the Illuminati they often
00:52:03
don't they often don't well I'm sorry to
00:52:06
the low
00:52:07
IQ listeners who don't know that the
00:52:10
Illuminati is not real oh now now you're
00:52:12
insulting the audience no I'm insulting
00:52:13
the ones who believe there's an
00:52:15
Illuminati he's trying to sell tickets
00:52:17
to the Jad trying to sell tickets to the
00:52:19
jader
00:52:20
ball with buck nasty Zuck nasty J cow is
00:52:25
the biggest hater in the tech industry
00:52:28
you ever see the haters ball sacks I
00:52:31
have not SE Chapelle show no Cham it
00:52:34
looks like between the time we mentioned
00:52:35
it on the Pod it's it's actually
00:52:37
happening here it is the jader ball is
00:52:39
happening there it is lenina David Sach
00:52:43
wait why am I there well because you're
00:52:45
a headliner you're you organizing I
00:52:47
think you're the host I'm gonna be a
00:52:48
keynote you're the I'm the I'm okay wow
00:52:52
I'm the MC there look there's there's
00:52:54
Zuck nasty and there's Palmer lucky
00:52:56
you guys don't know this bit from
00:52:58
Chappelle the haters ball from Chappelle
00:53:01
oh my God it's the funniest bit on
00:53:04
shabelle show it's literally I mean I
00:53:07
saw a lot of Chappelle Show I never
00:53:08
remember God just show the real picture
00:53:10
Nick um on the Chappelle show they have
00:53:12
all of these pimps who have a yearly
00:53:16
convention which is their player haters
00:53:18
I've seen this I've seen all they do is
00:53:20
sit there with like a toothpick in and
00:53:22
they hate on each other make fun of each
00:53:24
other I've seen it is the Fest bit in
00:53:27
the history of the Chappelle show all
00:53:29
right let's keep the train moving here
00:53:31
CRV is giving back or maybe not calling
00:53:34
down 275 million from their LPS Charles
00:53:36
Riv Aventure shout out to my pal George
00:53:38
Zachary and Greek brother from CRV
00:53:41
historically they invest in early stage
00:53:43
startups they did door Dash air table
00:53:45
Twitter back in the day they had two
00:53:47
funds that they raised back in 2022
00:53:49
billion dollar early stage fund and a
00:53:51
500 million growth fund sometimes people
00:53:54
call that an opportunity fund or a
00:53:55
Select Fund
00:53:56
the New York Times reported CRV is going
00:53:58
to give back about half of that 275
00:54:00
million to investors or technically
00:54:03
probably not call it down the four
00:54:05
Partners at CRV gave an exclusive to the
00:54:08
New York Times so either getting ahead
00:54:10
of this story or uh maybe you know who
00:54:12
knows what the motivation here is but
00:54:14
the reason they gave is that the market
00:54:16
conditions for late stage have worsened
00:54:18
dramatically and that the valuations are
00:54:20
still too high yes the rent is too high
00:54:23
and that there aren't any exit options
00:54:25
as we just talked about with the
00:54:27
administration no IPOs no m&a and that
00:54:30
VC map doesn't work in the late stage so
00:54:33
I'll just stop there there's a bunch of
00:54:35
other notes here obviously this isn't
00:54:37
the first time this has happened I think
00:54:38
Founders fund cut the size of its eighth
00:54:40
Fund in half from 1.8 billion to 900
00:54:42
million they didn't actually give the
00:54:44
capital back to VCS like they're saying
00:54:46
CRV did here again I'm not certain if
00:54:48
that's what's happened or not they put
00:54:50
the extra 900 million into its ninth
00:54:52
fund if they decide to raise that which
00:54:54
I'm assuming Founders fund will if you
00:54:56
have any thoughts on this I I guess
00:55:01
Trend we got two stories here so I don't
00:55:03
know Trend P did this and he gave back
00:55:06
quite a large piece of his fund a couple
00:55:08
of years ago and then CRV just did it I
00:55:11
I want to make sure I get the citation
00:55:13
right I think it was Thomas lefont at
00:55:15
kotu who said this it was really
00:55:17
powerful it made a huge impression on me
00:55:19
which is that the NASDAQ creates about
00:55:21
$800
00:55:22
billion of Enterprise Value a year and
00:55:26
he brought that up in the context of
00:55:28
private markets have to exceed that in
00:55:30
order for it to be a real viable
00:55:32
alternative to just owning public
00:55:35
indices and so if you factor in il
00:55:37
liquidity risk and the
00:55:39
duration you have to probably generate I
00:55:42
don't know a trillion $1.2 trillion
00:55:45
dollars of Enterprise Value in private
00:55:47
Tech every year that just seems like
00:55:49
it's really hard to do where is all of
00:55:51
that value getting created so I think
00:55:54
that Venture need to go through a phase
00:55:57
where it rationalizes you know this is
00:55:59
sort of what I said at David's LP day
00:56:01
which is I think that LPS have made a
00:56:04
couple of very big
00:56:06
mistakes and I think the biggest mistake
00:56:08
that they've made is by smearing too
00:56:10
much money across too many General
00:56:12
partners and I think if you had to redo
00:56:15
it a it's probably a lot less money in
00:56:18
total but B and the example I gave there
00:56:21
was instead of giving $50 million to
00:56:23
craft and $10 million to somebody else
00:56:25
you're better off giving $60 million to
00:56:27
craft and not even having that other GP
00:56:30
because that GP makes everybody's life
00:56:32
complicated they overpay they Mis pay
00:56:34
they're probably not supposed to be a GP
00:56:36
in the first place and so they force
00:56:38
returns down and then when you contrast
00:56:40
that again to a public market that is
00:56:43
systematically creating $800 billion
00:56:46
dollar of Enterprise Value a year this
00:56:49
is an incredibly tough game and it's
00:56:50
getting much much harder so I think that
00:56:53
if you just take a step back these are
00:56:55
the right things to do because you're
00:56:57
much better off having a smaller pool of
00:57:00
capital that you can concentrate into
00:57:01
the things that matter you're probably
00:57:03
better off having smaller teams versus
00:57:05
bigger
00:57:06
teams and you're probably better off
00:57:10
trying to forge LP relationships where
00:57:13
they're not doing 50 fund Investments
00:57:17
because it just makes the entire
00:57:18
industry lag public liquid Alternatives
00:57:22
and I think that that's just not good
00:57:23
peanut butter getting spread a little
00:57:25
bit than there any thoughts uh freeberg
00:57:28
on this trend if we can call it that or
00:57:32
is this like maybe they're reacting
00:57:35
right as the market is changing and
00:57:37
valuations are getting more reasonable
00:57:39
and the exit opportunities are getting
00:57:40
more reasonable it seems like this was
00:57:41
the right reaction two years ago but
00:57:43
maybe it's the wrong reaction now what
00:57:45
do you think freeberg for a venture firm
00:57:47
to return Capital they need to have at
00:57:50
least one or two big Winners and so if
00:57:53
that winner needs to be a 10x or 20 X or
00:57:56
30X of the fund because most of the
00:58:00
investments in the fund are not going to
00:58:01
work you need to be able to enter at a
00:58:04
reasonable price and there needs to be
00:58:06
enough opportunity relative to the
00:58:09
capital trying to invest in that
00:58:10
opportunity out there for to make sense
00:58:12
so in a market where there is excess
00:58:13
Venture Capital where valuations are at
00:58:17
a premium and where you don't see the
00:58:20
exit path the m&a or the IPO events that
00:58:22
make sense that you can actually realize
00:58:24
that model you should take less capital
00:58:28
and make fewer Sher Investments and I
00:58:31
think that that's what some folks have
00:58:33
realized they don't want to be chasing
00:58:35
um you know highly valued inflated
00:58:38
opportunities and they don't want to be
00:58:40
putting Capital into tier b or tierc
00:58:43
opportunities just for the sake of
00:58:45
deploying Capital this is a really
00:58:47
interesting moment where you can kind of
00:58:49
see who are the the right folks in terms
00:58:52
of thinking longterm in Silicon Valley
00:58:54
longterm in terms of building an
00:58:56
investment practice in private
00:58:58
Venture and maybe who are folks that are
00:59:01
trying to build their AUM stack and
00:59:03
folks who have done reasonably well like
00:59:04
Founders fund has probably the most
00:59:06
exceptional track record in Silicon
00:59:07
Valley as a venture
00:59:09
firm they are very cognizant of the
00:59:12
market conditions and I think that
00:59:14
they're being very smart by the way the
00:59:15
other thing I've heard from LPS is
00:59:17
they're similarly trying to find more
00:59:20
concentrated Capital themselves so
00:59:22
they're trying to put more Capital to
00:59:25
work in fewer managers and so there's a
00:59:28
real weat from the chaft moment
00:59:30
happening in Silicon Valley venture
00:59:32
right now what I think a couple years
00:59:34
ago was hey everyone's going to go do a
00:59:35
startup a few years ago became
00:59:37
everyone's going to go do a venture fund
00:59:39
and now I think the froth that has
00:59:40
occurred because of that is being
00:59:41
cleared out and to just explain this
00:59:43
math before I get Sax's thoughts on this
00:59:46
if this was a $500 million fund let's
00:59:49
say they were putting $25 million into
00:59:51
each we'll take management fees out of
00:59:54
it $25 million into each opport Unity at
00:59:56
a billion dollar valuation they would
00:59:57
own 2 and a half% obviously of those
01:00:00
firms they need to get probably a 30
01:00:04
billion power law exit of 30X ax in
01:00:07
order to just return the fund there'll
01:00:09
be some dilution obviously along the way
01:00:11
that's why it's not 20x and the number
01:00:13
of companies that go from a billion to
01:00:16
30 billion per cycle is incredibly low
01:00:19
Uber coinbase
01:00:22
Airbnb I it's a really short list huh
01:00:25
sax and recent
01:00:27
history I
01:00:28
mean look just just go back to the crb
01:00:31
thing you said at the outset of the
01:00:33
conversation that this was either a
01:00:35
growth fund or an opportunities fund
01:00:37
that makes a really big difference
01:00:39
explain please because well an
01:00:41
opportunities fund typically exists to
01:00:45
back up your winners in other words if
01:00:47
the Venture fund is producing some big
01:00:49
Winners the opportunities fund exists to
01:00:52
deploy more Capital into those into
01:00:54
those companies as opposed to growth
01:00:56
fund which is you'd be underwriting
01:00:57
brand new companies from scratch
01:00:59
typically an opportunities fund is
01:01:00
limited to companies that you're ready
01:01:02
an investor in through your Venture fund
01:01:04
so that makes a big difference I mean if
01:01:06
CRV has a billion dollar Venture fund
01:01:08
and only a $500 million opportunities
01:01:10
fund it may just be the case that they
01:01:12
don't need all that Capital to back up
01:01:14
the winners they can do their pratas out
01:01:16
of the main fund so I I suspect that
01:01:20
that might be what's going on I actually
01:01:21
think this is a pretty good time to have
01:01:23
a growth fund a lot of the the yeah well
01:01:26
because a lot of the uh crossover
01:01:28
Capital has left the ecosystem okay a
01:01:30
few years tigers and that sort of
01:01:34
cohort yeah well tiger and and um
01:01:37
SoftBank are still around but there are
01:01:39
other very large investors hedge funds
01:01:42
and so on who had come into the
01:01:44
ecosystem with billions of dollars a few
01:01:46
years ago and now they've left and some
01:01:48
of those funds that you're talking about
01:01:50
like tiger used to be $10 billion funds
01:01:51
now they're $2 billion funds right
01:01:52
they've been right sized they're not
01:01:54
violently doing I mean the tiger deals
01:01:57
my understanding was they weren't
01:01:58
joining the board in a lot of the cases
01:01:59
and they were Outsourcing the diligence
01:02:01
and that was a pretty violent Pace I
01:02:03
don't know what this is the best time in
01:02:05
probably five years to have a growth
01:02:06
fund H interesting but to to your point
01:02:09
about the size of the Venture fund the
01:02:10
bigger the Venture fund the bigger the
01:02:12
winner that you need to make that payoff
01:02:14
obviously yes and so because of the
01:02:16
power law so to take an example I don't
01:02:19
know let's say you've got a billion-
01:02:20
dollar Venture fund let's say that at
01:02:23
IPO you own 10%
01:02:26
of whatever that that winner is and
01:02:28
because of the power law your your fund
01:02:30
performance is really determined by your
01:02:32
best outcome right yep so in order to
01:02:36
take a$1 billion Venture fund and say
01:02:38
deliver a 3X you know so three billion
01:02:41
of returns and your best company you own
01:02:44
10% of that implies you have a $30
01:02:46
billion winner in that fund and there
01:02:49
are precious few outcomes where you have
01:02:51
a $30
01:02:53
billion IPO right yeah I me very count
01:02:56
them on two hands the last cycle like I
01:02:59
just did you got you got Uber you got
01:03:01
Robin Hood you got coinbase strike will
01:03:05
eventually come out you got SpaceX well
01:03:07
that was two cycles ago so I mean yeah
01:03:09
you're going to need to have a
01:03:10
meaningful ownership position and a
01:03:11
massive company in order to make a fund
01:03:13
that big payoff the the data that I
01:03:15
think LPS look at shows that smaller
01:03:18
Venture funds tend to perform better for
01:03:20
this reason 50000 million funds so yeah
01:03:25
I personally want the pressure of a
01:03:26
billion dollar Venture fund that would
01:03:28
be really hard as a five or $600 billion
01:03:32
Venture fund you kind of need to have or
01:03:35
or want to have like a decacorn outcome
01:03:38
to make that a great fund but to have to
01:03:40
have a $30 billion plus outcome it's
01:03:42
it's even more difficult moving on Pew
01:03:45
just published uh some really
01:03:46
interesting research on Tik Tok uh if
01:03:48
you don't know the Pew study they've
01:03:49
been doing it for decades it's very well
01:03:51
respected um and uh bipartisan or
01:03:54
nonpartisan 4 in 10 us adults aged 18 to
01:03:58
29 are now regularly getting their news
01:04:00
from Tik Tok here's some charts for you
01:04:02
to take a look at as you can see the
01:04:05
younger generation is really spending a
01:04:07
lot of time on Tik Tok and getting a lot
01:04:09
of their news there I know this because
01:04:11
uh yeah I I've talked to a bunch of kids
01:04:13
about this and people that use Tik Tok
01:04:16
52% are regularly getting their news
01:04:19
from the platform and that number has
01:04:21
skyrocketed compared to other social
01:04:24
platforms take a look at this chart
01:04:26
here's X 59% of people say they get
01:04:28
their news at X it's really a news
01:04:30
platform so that makes total sense you
01:04:32
look at Facebook it's you know 48% right
01:04:35
now Reddit 33% YouTube
01:04:38
37% in 2024 Instagram 40% but Tik Tok 52
01:04:43
up from 22% so it's no longer just
01:04:45
dancing and this is the reason I think
01:04:47
many people in the government were
01:04:50
concerned about the attack Vector that
01:04:52
the CCP would have in the United States
01:04:55
they still control the company for
01:04:57
services like Snapchat LinkedIn and
01:05:00
WhatsApp and next door it's below 20
01:05:03
below 30% get their news from there
01:05:05
there sure truth social there uh sacks
01:05:07
57% of people get news there and Rumble
01:05:09
48% so what what's your takeaway from
01:05:12
from this just
01:05:14
sax looking at it and this impact that
01:05:17
Tik Tok has is this concerning on a
01:05:18
national security level since the
01:05:21
algorithm is a black box and you could
01:05:22
tweak it if you really wanted to to
01:05:24
Really change sentiment and um young
01:05:27
people are obviously very impressionable
01:05:29
on this platform and they're big users
01:05:31
of it well I thought there was other
01:05:34
data in the study that should calm
01:05:36
people's fears that Tik Tok would
01:05:38
somehow be used as a political weapon so
01:05:40
in the same survey you're talking about
01:05:43
95% of adults that use Tik Tok say they
01:05:46
use it because it's entertaining so
01:05:48
that's the main reason people use it and
01:05:50
only 10% of accounts followed by us
01:05:53
adults post content related to political
01:05:55
social issues okay that's posting and
01:05:57
the main reason right sure yeah but so
01:05:59
so basically 90% of the accounts that
01:06:02
get followed aren't even posting
01:06:04
political or social issues they're there
01:06:07
for entertainment as people watching
01:06:09
Dance videos as people yeah watching I I
01:06:12
mean I the main thing I use it for is to
01:06:15
watch wrestling highlights so uh you're
01:06:18
a wrestling guy yeah I'm a wrestling fan
01:06:21
what yeah you're into this Kabuki
01:06:24
theater of wrestling this new
01:06:27
information I get my WWE on on Tik Tok
01:06:31
because I don't to watch the whole yeah
01:06:33
favorite are you a Hulk Hogan guy are
01:06:34
you an Undertaker guy Vince McMahon I
01:06:37
mean Jimmy Jimmy Superfly
01:06:39
snooker who are you Andre is I know all
01:06:42
those names but uh I like I also love
01:06:44
the Road Warriors uh Ultimate Warrior I
01:06:47
loved I I was a huge wrestling fan that
01:06:49
was the one thing that my dad and I
01:06:51
bonded over we would watch wrestling
01:06:54
every Saturday did you ever watch the
01:06:56
the specials on Saturday night like the
01:06:59
oh yeah oh those are so that that was
01:07:01
the era of Hulk Hogan for sure Saturday
01:07:03
night's Main Event Randy Savage Savage
01:07:07
Savage is great Savage yeah I mean look
01:07:08
my my all-time favorite was Stone Cold
01:07:10
Steve Austin Stone Cold is great I
01:07:12
marked out the hardest for Austin he was
01:07:14
he was anti-woke before antiok became a
01:07:16
thing totally this is crazy you guys are
01:07:20
into
01:07:21
wrestling I'd say flare number two for
01:07:24
me wait wait hold on have you gone to a
01:07:27
wrestling did you only like the WWF at
01:07:29
the time or did you like the NWA as well
01:07:31
that their moments when when Hogan
01:07:34
turned heel and joined the the uh was it
01:07:38
the NWO that was like a big moment I'm a
01:07:40
big uh Andy Kaufman wrestling fan that
01:07:42
was my only interest is when when Andy
01:07:44
Kaufman came in
01:07:45
there and uh trolled them but have you
01:07:49
Kaufman yeah that well that was like in
01:07:51
the 1970s wasn't it or it was the late
01:07:54
his 80s remember he was on
01:07:56
with Jerry Waller and he he comes to a
01:08:00
wrestling match Sach in the South and
01:08:03
was where I grew up in my hometown of
01:08:05
Memphis right so he goes there and he
01:08:07
gets in the ring and he says all of you
01:08:10
rednecks I want to show you some new
01:08:12
inventions this is called soap and this
01:08:16
is called a washcloth and you used it to
01:08:19
clean yourself and he's like just
01:08:22
mocking the southern accent and Jerry
01:08:24
law remember Jerry laa smacks him and on
01:08:28
Letterman oh it's the greatest it was a
01:08:30
huge deal I mean where I grew up because
01:08:32
that this was like on the local news yes
01:08:35
when I grew up in Memphis there was no
01:08:37
professional sports teams okay all we
01:08:39
had was the Memphis State basketball and
01:08:42
and uh wrestling every Monday night at
01:08:45
the mids South Coliseum that was it that
01:08:47
was like professional sports in Memphis
01:08:49
you also had probably like some state
01:08:51
fairs or you know like best goats best
01:08:53
sheep or something Lawler was so popular
01:08:57
that he could have been elected mayor in
01:08:59
fact I think there was talk at one point
01:09:00
of him becoming mayor wow I mean the
01:09:03
intergender champion Andy coff did you
01:09:06
guys like mouth of the South Jimmy Hart
01:09:08
oh yeah course he was amazing he was
01:09:11
like the main heel manager for a while
01:09:14
yeah okay this is before the WWE took
01:09:16
over I guess it was called WWF back then
01:09:19
but they were all these little Thoms and
01:09:20
kingdoms and Midsouth wrestling was like
01:09:23
one of those kingdoms and Lawler was
01:09:25
like the king of it and then you had all
01:09:26
these guys come in and out and wrestle
01:09:28
fredberg you ever watch wrestling and
01:09:32
what do you think of this Tik Tok survey
01:09:34
I don't watch wrestling okay very good
01:09:37
and Tik Tok survey anything where are
01:09:38
you no any thoughts looks like they
01:09:41
gathered some reasonable data okay there
01:09:43
you go there's there's your hard point
01:09:45
my point was that it's mostly an
01:09:47
entertainment app where people go to
01:09:49
watch Dance videos wrestling Clips style
01:09:52
influencers and so on and I think that
01:09:54
this idea that it's somehow a propaganda
01:09:56
tool around you know programming our
01:09:59
youth I think that's a moral Panic
01:10:00
that's been exaggerated what do you
01:10:02
think the odds are that Tik Tok is
01:10:05
hacked to allow you to passively listen
01:10:07
even when the app is not being used
01:10:10
zero you think it's definitively zero no
01:10:13
like 5% I think that's very unlikely
01:10:15
yeah because some someone said that that
01:10:20
was that was a there was some code that
01:10:23
enabled that in the early version of the
01:10:24
app and then some other people audited
01:10:26
it and they said they did not find
01:10:27
evidence that there was any technology
01:10:29
and Apple's got a very good audit system
01:10:30
for this did those same people audit
01:10:33
WhatsApp and then it turned out that it
01:10:35
was they passively listen yeah does
01:10:38
WhatsApp passively listen yeah it's one
01:10:39
of the it's one of the most well-known
01:10:40
breaches well maybe they do maybe it's
01:10:43
maybe I'm 100% certain that the CCP is
01:10:45
using it because they the people have
01:10:47
tracked already journalists using it so
01:10:49
if they've already done it it's 100% now
01:10:51
I don't know about the passive listening
01:10:53
but any thoughts on 50% Plus young
01:10:55
people getting their news here shamat
01:10:57
any news on that I mean obviously we
01:10:59
don't have evidence that it's being used
01:11:01
currently to manipulate people but it's
01:11:02
over 50% of young people are now getting
01:11:04
their news there or say they're getting
01:11:06
their news there I bet more than 50% of
01:11:08
young people are getting their news from
01:11:10
podcasts and those podcasts get chopped
01:11:12
up and clipped and then people watch
01:11:13
them on Tik Tok yeah for sure I bet
01:11:15
that's how it's happening there are a
01:11:17
lot of people who think this show is a
01:11:19
Tik Tok show and they don't know it's a
01:11:21
big show yeah we'll have to prepare for
01:11:24
a bre New World in the following way
01:11:26
there was an article I think it was in
01:11:28
the Wall Street Journal that said that
01:11:30
Russia and Iran were paying low-level
01:11:34
Street criminals to create chaos okay
01:11:37
and I and I read that article and I
01:11:39
thought okay well what does this mean if
01:11:41
you actually extrapolate this which is
01:11:43
that
01:11:45
the hot Wars are very complicated not
01:11:48
worth doing
01:11:50
these disruptive fissures are the better
01:11:53
way to sew chaos
01:11:55
and it occurred to me then that tying
01:11:58
this back to something that we saw
01:11:59
before it does make sense for a lot of
01:12:01
folks to sponsor a lot of longtail
01:12:04
content that say a lot of different
01:12:05
things I think that that just is pretty
01:12:09
obvious and so I think that if you put
01:12:11
these two ideas together it stands to
01:12:13
reason that a lot of people will be
01:12:17
paying influencers a lot of money to
01:12:20
create all kinds of content that is
01:12:22
specific to a perspective that they have
01:12:24
and then on top of that if you can
01:12:25
algorithmically amplify one over the
01:12:27
other you know you're you're going to
01:12:30
have issues is it the biggest issue in
01:12:32
the world probably
01:12:34
not probably wouldn't swing an election
01:12:36
but it would cause chaos and we just had
01:12:38
the the southern district of New
01:12:41
York Target that Russian Russia Today
01:12:44
was giving $10 million to four
01:12:46
podcasters didn't even know they were
01:12:47
getting paid by the Russians they just
01:12:49
picked them because they like their
01:12:50
opinions and they gave them 100,000 an
01:12:52
episode to to promote Pro Russian
01:12:56
positions if the Russians were actually
01:12:57
doing it it's the stupidest use of $1
01:12:59
million ever because great those
01:13:03
podcasters already had their own
01:13:04
channels they're already putting out
01:13:05
lots of content and this other content
01:13:07
is a drop in the bucket I think Jamal
01:13:09
the issue with what you're saying is
01:13:10
just there is so much content out there
01:13:13
already people create it for free people
01:13:15
create it you know because they're they
01:13:17
have a career in it there's a whole long
01:13:19
tale of influencers there is so much
01:13:22
content out there already through
01:13:24
podcast through websites it's all being
01:13:26
chopped up that trying to do it as some
01:13:29
sort of disinformation strategy I think
01:13:31
is very hard to do because it's just
01:13:33
when there's billions and billions of of
01:13:35
Impressions any effort that you try to
01:13:38
engineer ends up just being a drop in
01:13:40
the bucket I agree yeah it's defin it
01:13:43
makes sense in theory but it makes sense
01:13:45
in theory it's very hard to do in
01:13:47
practice Yeah the goal is not to win any
01:13:50
specific argument it's to create
01:13:53
mistrust in the entire news ecosystem in
01:13:56
the information system so that people
01:13:58
give up trying to figure out what the
01:14:00
truth is and that's what the Russians
01:14:03
doing that on their own the mainam media
01:14:05
lies so much that's what's creating the
01:14:07
distrust as are the Russians paying off
01:14:09
podcasters okay let's how is1 million
01:14:12
going to accomplish anything if that
01:14:13
story is even true great question great
01:14:15
question may I answer
01:14:18
it conspiracy theory not a conspiracy
01:14:21
theory at all these were very low-level
01:14:23
mid like you know tier B CD podcasters
01:14:26
if you give them $100,000 per episode
01:14:29
they can spend more money buying cameras
01:14:31
promoting their shows hiring people so
01:14:34
you're just finding people and dropping
01:14:36
money on their head so they can do more
01:14:37
of the same so it's a very smart
01:14:39
strategy in fact I think I think it's
01:14:41
the stupidest thing I've ever heard they
01:14:42
took podcasters who are already
01:14:44
successful and paid them to release
01:14:46
content through a less watched Channel
01:14:49
That's the yes it was it was just more
01:14:50
about getting the money to produce more
01:14:52
content and then they in the these guys
01:14:54
are
01:14:56
these guys are already live streaming
01:14:57
like 247 oh there's a puppy oh here he
01:15:00
goes freeberg trying to win more people
01:15:02
over with his puppy love unbelievable
01:15:05
this guy is absolutely
01:15:08
ridiculous unbelievable all right listen
01:15:11
let me give saak some red meat here he
01:15:13
got he got his little steak Tata with my
01:15:16
Russia Today story got your little amus
01:15:18
BGE and now I give you your Tomahawk you
01:15:21
ready saaks you want your Tomahawk you
01:15:23
want it rare here it comes
01:15:25
2024 election update the betting markets
01:15:28
and polling indicate a really tight race
01:15:30
but maybe Trump is surging this week
01:15:33
poly Market which is a betting Market
01:15:34
has Trump 55 to 45 versus kamla Ki
01:15:40
another betting Market 5248
01:15:42
Trump bada and points bet those are
01:15:45
offshore booking and poly Market is also
01:15:47
offshore 5248 Trump Nate silver friend
01:15:51
of the Pod his algorithm has it 5347
01:15:55
KLA real clar polling that's an
01:15:58
algorithm has KLA with a two-point lead
01:16:01
New York Times Sienna comma with a
01:16:03
three-point lead Reuters ipso pretty
01:16:05
well trusted uh three-point lead for
01:16:07
kamla NPR PBS Maris pole has com with a
01:16:11
two-point lead so sportbooks and Betty
01:16:14
markets are favoring Trump slightly
01:16:17
while the polls are slightly favoring
01:16:20
comma Sachs I sliced it up nice for you
01:16:24
you got nice 10 slices of meat here
01:16:26
which slice you going for well I think
01:16:29
your recitation of the polls there kind
01:16:32
of mixes up a couple of things there's
01:16:34
popular vote polls and then there's
01:16:35
Electoral College which goes state by
01:16:37
state if you look at pretty much now all
01:16:39
the main pollsters you look at Tony
01:16:42
Fabrizio you look at real clear politics
01:16:44
they're now showing that Trump is
01:16:46
winning the electoral college right now
01:16:48
he is up in almost every swing state
01:16:50
including I think Michigan which is
01:16:53
pretty surprising clearly there's been a
01:16:55
huge swing towards Trump over the last
01:16:57
week or two and look there's still 25
01:17:00
days to go so anything can happen I
01:17:01
don't want to overstate this but yeah
01:17:02
this is a good example right here
01:17:04
showing
01:17:05
thatal college is is 296 to 242 what is
01:17:10
fabrio he's just a republican pollster
01:17:12
but his accuracy is pretty high I've
01:17:14
never heard of it FAO well another guy
01:17:17
who I think is more neutral is Mark
01:17:19
Halprin who is a pundit who has been
01:17:22
very accurate this election cycle
01:17:24
remember he's the one who broke the
01:17:25
scoop that Biden would be replaced by
01:17:28
Harris and he even said exactly when it
01:17:30
would happen and uh he predicted it down
01:17:33
to the day he was exactly right about
01:17:36
that and if you follow his account he is
01:17:38
now saying that both Republican and
01:17:41
Democrat insiders that he talks to are
01:17:44
both saying the same thing which is
01:17:45
their internals are now showing Trump
01:17:48
ahead in every swing state or almost
01:17:51
every swing state and uh things seem to
01:17:53
be breaking Trump's way right now again
01:17:55
there's 25 days left but if you're
01:17:57
wondering why is Harris all of a sudden
01:17:59
doing interviews it's because their
01:18:02
internals started showing that she was
01:18:03
in trouble so they decided to get her
01:18:05
out more and or is it the other way is
01:18:08
it that the her Howard Stern interviews
01:18:10
or whatever are causing her to lose
01:18:12
votes well yeah exactly well so you know
01:18:14
which one is it do you think because I
01:18:15
don't know when I don't have the dates
01:18:16
of all these polls versus that no I
01:18:18
think it's it's what I predicted a
01:18:20
couple of months ago it's the Doom Loop
01:18:21
so what I said two months ago is that if
01:18:24
Harris gets behind she's going to have
01:18:26
to abandon this sort of basement
01:18:27
strategy of not doing interviews she's
01:18:29
going to have to start doing interviews
01:18:30
the problem is she's not good at
01:18:32
interviews and if she does more
01:18:33
interviews she's gonna fall further
01:18:34
behind in the polls and it could cause a
01:18:36
doom Loop so that's where we appear to
01:18:38
be right now I said that on August
01:18:40
30th okay shamat your thoughts I think
01:18:43
that Donald Trump is basically stuck to
01:18:45
his strategy which
01:18:48
is he is a generational retail
01:18:53
politician I just heard parts of what he
01:18:56
did with Andrew
01:18:58
Schultz another great sort of you know
01:19:01
podcast I think David's right that the
01:19:05
editing and the massaging of the Kamala
01:19:07
hara's talking
01:19:08
points
01:19:10
are galvanizing the people that have
01:19:12
already decided and turning off the
01:19:14
people that have already decided to vote
01:19:15
for Trump and she's losing the folks in
01:19:17
the middle and so this is what's causing
01:19:20
her to have to be out there and and
01:19:22
she's gonna have to deliver a very crisp
01:19:26
message and I and I think that right now
01:19:28
it's been a little bit lacking which is
01:19:30
why you're seeing the
01:19:32
polls at least the Electoral College
01:19:34
which is really what matters at this
01:19:35
point turn
01:19:38
Trump so she's going to have a bit of an
01:19:41
uphill fight between here and November
01:19:43
the other thing I'll say is that if
01:19:44
you've seen what's happening in the
01:19:46
appet court it's not clear whether the
01:19:49
the
01:19:50
Trump case is going to get overturned
01:19:52
before the election but if that does
01:19:55
that could be very meaningful momentum
01:19:57
for
01:19:58
him and then I think the third thing is
01:20:00
that we should now Buckle in because if
01:20:03
the last two elections are any guide
01:20:06
there are going to be a bunch of
01:20:09
spanners in the works between now and
01:20:11
November the wait what did you say
01:20:12
spanners spanners in the works yeah what
01:20:15
does it mean what do you call it wrench
01:20:16
in the system you mean like an October
01:20:18
surprise you mean like some crazy turn
01:20:20
of events okay freeberg any uh thoughts
01:20:23
here would you like to shck test this
01:20:25
and see what you want in the numbers or
01:20:27
do you have some objective thoughts here
01:20:29
what what's your what's your
01:20:31
take you know there's on the polling
01:20:33
data or yeah where we're at in the
01:20:36
election you pretty open-ended here you
01:20:38
can look at the you can make a note on
01:20:41
overall what you see between the betting
01:20:43
markets and the polls and
01:20:45
that disparity you could just talk
01:20:48
generally about where you think we are
01:20:49
you could talk about coma on Howard
01:20:51
Stern and doing a bunch of interviews
01:20:53
with friendlies where you at right now I
01:20:55
didn't see her interviews okay I saw
01:20:58
some excerpts on Twitter oh boy yeah let
01:21:01
me just follow upon a point jth made Jam
01:21:03
said that she had to be crisp if you
01:21:05
look at any of these interviews they're
01:21:07
the opposite of crisp she's asked
01:21:08
softball questions by by like Stephen
01:21:10
Cole bear saying why are you running for
01:21:12
president how are you different than Joe
01:21:14
Biden yeah and she doesn't have good
01:21:16
answers she starts free associating she
01:21:19
gives these very long-winded answers
01:21:20
that don't go anywhere she says she
01:21:22
can't think of a single way she's
01:21:24
different than Joe Biden when when
01:21:26
pushed on that it's very strange these
01:21:29
are she definitely did the most favorite
01:21:30
shows I wish she would do some
01:21:31
challenging shows I think she's got to
01:21:33
do Joe Rogan all in and um what would be
01:21:37
another good podcast for her do your
01:21:38
moth if she really wanted to like do the
01:21:41
adversarial thing or something more do
01:21:43
adversar do an adversarial just come to
01:21:45
Allin come and have a conversation come
01:21:47
and have a normal conversation here yeah
01:21:48
no I'm just thinking like it seems like
01:21:52
ZX if she comes and has a has a
01:21:53
conversation
01:21:55
you'll be respectful yeah this whole
01:21:58
idea that I didn't treat Cuban
01:21:59
respectfully is nonsense just watch the
01:22:01
tape I don't think he thought that I
01:22:03
know somebody somebody asserted that no
01:22:07
I mean I the all if you look back on
01:22:10
every single presidential related one we
01:22:12
did here they were all respectful and
01:22:14
they were all conversations I think the
01:22:16
Cuban one dipped because of both of you
01:22:18
into a bit more of a debate and it was a
01:22:19
lot more crossover than the other he
01:22:21
wanted that that's
01:22:23
what I agree back to him he likes to
01:22:26
come out he likes to do his thing that's
01:22:28
exactly what if you look at all the
01:22:29
other ones I'm trying to think of a
01:22:30
moment where it if you look at the other
01:22:33
Dean B Phillips Chris Christie VC boring
01:22:37
gotta go love you guys see you later
01:22:40
this has been another amazing episode
01:22:42
The Allin podcast episode 199 make sure
01:22:45
you go to allin.com
01:22:47
meetups make sure if you're starting a
01:22:49
company you go to founder. university if
01:22:51
you're an engineer please go to I'm
01:22:53
doing whatever okay please David Sachs
01:22:56
make sure you go to um super gut glue AI
01:23:00
if you're an engineer and if you like
01:23:02
potatoes go to aal.com and order your
01:23:04
potatoes pre-order a subscription I mean
01:23:06
if we're doing sell some let's sell some
01:23:09
super 890 890 go to
01:23:13
899 we'll see everybody next time on the
01:23:15
all in
01:23:19
byee Let Your winners
01:23:22
ride Rainman David
01:23:27
and instead we open source it to the
01:23:29
fans and they've just gone crazy with it
01:23:31
love you
01:23:35
[Music]
01:23:39
Queen besties
01:23:42
are that's my dog taking a your
01:23:47
driveways oh myit meet we should all
01:23:51
just get a room and just have one big
01:23:52
huge orgy cuz they're all just it's like
01:23:55
this like sexual tension that they just
01:23:56
need to release
01:23:57
[Music]
01:24:03
somehow we need to get merch our
01:24:08
[Music]

Episode Highlights

  • Hurricane Milton's Impact
    Hurricane Milton made landfall in Florida, causing significant damage and evacuations.
    “6 million Floridians were ordered to evacuate.”
    @ 03m 43s
    October 11, 2024
  • The Economics of Florida's Real Estate
    The rising frequency of hurricanes is making Florida's real estate insurance untenable.
    “The average Florida homeowner pays about 1% of their real estate value in insurance.”
    @ 15m 10s
    October 11, 2024
  • Climate Resilience Investment
    Amid rising climate risks, there's potential for investment in climate resilience technologies.
    “We might actually be looking at investment in climate resilience.”
    @ 19m 36s
    October 11, 2024
  • Real Estate Risks
    Real estate markets in vulnerable areas are facing significant risks due to climate change.
    “These are disasters waiting to happen, unfortunately.”
    @ 26m 43s
    October 11, 2024
  • Nobel Prize in Chemistry
    Alpha creators from Google's DeepMind win the Nobel Prize for their groundbreaking work in protein folding.
    “Congrats to the teams!”
    @ 29m 03s
    October 11, 2024
  • DOJ Antitrust Update
    The DOJ is considering breaking up Google due to its monopoly in search and ads.
    “They're guilty, so now comes time for the remedy.”
    @ 39m 16s
    October 11, 2024
  • The Future of Google
    Discussion on whether breaking up Google would benefit innovation and competition.
    “Is it really worth penalizing any company that's big?”
    @ 41m 41s
    October 11, 2024
  • The Haters Ball
    A humorous take on tech industry rivalries, referencing a classic Chappelle Show skit.
    “Zuck nasty and there's Palmer lucky!”
    @ 52m 54s
    October 11, 2024
  • The Shift in Venture Capital
    In a market with inflated valuations, fewer investments may be wiser for long-term success.
    “You should take less capital and make fewer investments.”
    @ 58m 24s
    October 11, 2024
  • TikTok as a News Source
    A Pew study reveals that 52% of young adults get their news from TikTok, a significant rise.
    “It's no longer just dancing.”
    @ 01h 04m 45s
    October 11, 2024
  • Concerns Over TikTok's Influence
    While TikTok is popular for entertainment, its potential as a political tool raises concerns.
    “I think that's a moral panic that's been exaggerated.”
    @ 01h 09m 52s
    October 11, 2024
  • Upcoming Election Surprises
    Expect unexpected events leading up to the election, reminiscent of past cycles.
    “Buckle in because there are going to be a bunch of spanners in the works.”
    @ 01h 20m 03s
    October 11, 2024

Episode Quotes

Key Moments

  • 200 Episodes Celebration00:38
  • Florida Real Estate Crisis15:01
  • Climate Resilience19:36
  • Nobel Prize Win29:03
  • Brutal to Zuck38:22
  • Venture Capital Insights58:28
  • TikTok News Trends1:04:00
  • Trump's Lead1:17:48

Words per Minute Over Time

Vibes Breakdown

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