Search Captions & Ask AI

Why More Dating Options Can Lead to Fewer Matches

February 03, 2026 / 14:41

This episode covers online dating platforms, their impact on relationships, marriage and divorce rates, and behavioral changes from desktop to mobile usage. Wharton professor Pinar Yilderum discusses her research findings on these topics.

Professor Yilderum explains how online dating has evolved from a stigmatized option to a mainstream method for forming relationships, with 50% of couples in the U.S. now meeting through these platforms. The discussion highlights the significant changes in how people interact as they transition from desktop to mobile dating.

Yilderum identifies three key factors affecting relationship formation: the size of the dating pool, the amount of information available about potential partners, and the effort required to connect with others. She notes that while mobile apps increase the number of potential matches, they also limit the information users can gather.

The episode also examines gender dynamics in online dating, noting a disproportionate number of male users and changes in marriage patterns. Yilderum highlights a trend where women are more open to marrying partners with lower educational attainment, contrasting with historical patterns of educational sorting.

Finally, Yilderum discusses future research directions, particularly regarding the implications of declining marriage rates and the relationship between marriage outcomes and individual well-being.

TLDR

Wharton professor Pinar Yilderum discusses online dating's impact on relationships and marriage trends in the digital age.

Episode

14:41
00:00:00
expanding the number of people that you can meet that um just creates the opportunity of meeting someone you might
00:00:07
like who's not necessarily in your immediate social circle. But as we start to increase the the pool size even
00:00:14
further especially in the mobile world where we have um virtually endless number of potential candidates that we
00:00:20
can meet that's going to to effectively ultimately uh reflect on the the likelihood of a match likelihood of you
00:00:28
meeting someone who will also meet you and and like you back and as a result actually increasing the pool size can
00:00:36
have a negative impact on the on the match likelihood or the likelihood um finding or and and forming a positive
00:00:43
relationship. >> Welcome to the Ripple Effect, the podcast that takes you on a journey
00:00:48
through the minds of Wharton faculty. I'm your host, Dan Looney, and in each
00:00:52
episode, we'll be diving deep into the inspiration behind the groundbreaking
00:00:56
research that Wharton professors have conducted and exploring how their findings resonate with the world today.
00:01:04
In the digital age that we live in, even dating has found its place with various
00:01:10
websites for people to potentially connect in a way different than maybe historically we know that it has been
00:01:18
the case. But how have those sites impacted things like marriages and the outcomes of those unions? Wharton
00:01:25
professor Pinar Yilderum has been part of a group researching these components in a brand new study just released and
00:01:33
she joins us right now. Penar, great to talk to you again. How are you? >> I'm great then. Thanks for having me.
00:01:39
>> Just in general, these sites are obviously growing in usage. So understanding the types of impact that
00:01:46
they are having, that's a very important component, a kind of a logical next step
00:01:50
to understand just how much impact they're having. Yes, absolutely. The the impact of
00:01:56
online dating apps, online dating platforms have been massive. If we look at the the technologies through which
00:02:02
people meet. In fact, uh if you were to just go back about 20 years ago, online dating apps would be considered pretty
00:02:09
much a stigma. Uh fast forward another 10 11 years around 2011 online dating platforms have uh taken over as the the
00:02:19
majority way through which people meet and couples are formed. In fact in United States today about 50% of couples
00:02:26
are formed through online dating platforms. So it's important to understand the the effects of these
00:02:32
platforms on especially how relationships are formed and how the relationships uh might come to an end.
00:02:39
So take us through the research and how you kind of went about it. >> So yeah, I mean we got curious naturally
00:02:44
about the effects of these platforms on what kind of relationships are formed, what uh its impacts these the platforms
00:02:52
impacts are on marriage and divorce rates as well as some health outcomes. We collected data from majority of the
00:02:59
online dating platforms going back to about uh 2002. again focusing first on the the
00:03:06
platforms that might have primarily operated through desktop and then later on focusing on the the mobile uh
00:03:13
platforms, mobile apps. >> How important is it to make that differentiation between what we saw
00:03:19
maybe two decades ago when we were basically living on our computers but it was a desktop to now where we are where
00:03:27
the digital our smartphones uh are so important to us in our lives. It's important because we have uh seen
00:03:34
significant changes as we went from the desktop platforms to to mobile phones where we have a very limited small
00:03:41
screen. And I think the important question one needs to ask is especially compared to the offline methods of
00:03:47
dating. How did these new technologies change the the way people interact with each other? And how does the desktop
00:03:54
version of desktop technology of meeting others differ from the the mobile uh technology of of meeting romantic
00:04:02
partners? And uh from an economic perspective, we have decided we have identified at least three ways through
00:04:09
which we can think of these technologies to differ from the offline world. Of course, one is the the sort of the size
00:04:16
of the pool of individuals that you might be able to reach out to through these platforms relative to the offline
00:04:22
world. If you're only constrained in terms of meeting others um in in real world, that's going to reduce the number
00:04:29
of people that you could interact with and the types of people that you can interact. You typically will be uh or
00:04:36
you'll be more much more likely to meet individuals who might be nearby you and
00:04:39
who might be much more similar to you. Whereas of course with the desktop platforms first and later on with the
00:04:46
mobile apps we have dramatically expanded the pool size of whom we can meet and the number of people we can
00:04:52
meet and and that has both positive and and negative effects. On the one hand of
00:04:57
course expanding the number of people that you can meet that um just creates the opportunity of meeting someone you
00:05:04
might like who's not necessarily in your immediate social circle. But as we start
00:05:09
to increase the the pool size even further especially in the mobile world where we have um virtually endless
00:05:16
number of potential candidates that we can meet that's going to to effectively
00:05:21
ultimately uh reflect on the the likelihood of a match likelihood of you meeting someone who will also meet you
00:05:29
and and invite you back. And as a result, actually increasing the pool size can have a negative impact on the
00:05:36
on the match likelihood or the likelihood of um binding or and and forming a a positive relationship. Um it
00:05:43
second factor is of course the the the noise or the uh potential information that you can identify about the
00:05:52
individuals that you are meeting with. Even though we could meet endless number of people, the amount of information,
00:06:00
the amount of true information that we can gather about these individuals is going to be fairly limited, especially
00:06:05
because um in the the mobile world where we have very limited short profiles, the
00:06:12
number of information pieces, the the amount of information that you can consume about a single individual is
00:06:17
quite limited. So as we went from the the offline world into a desktop world, even though we could gather potentially
00:06:24
more information about individuals in a short period of time, as we moved back to the mobile world, that information
00:06:30
has significantly shrunk. So now we're looking at a potentially noisier world
00:06:35
in terms of gathering information about people. At the same time a third factor this is how much time or how much effort
00:06:42
we have to put into when it comes to trying to to g information about individuals or trying to source the
00:06:49
profiles in real life if you wanted to meet I don't know 10 20 people in a single day that would be a very costly
00:06:56
thing to do going meeting exerting effort to to get to learn about these individuals in uh the desktop world as
00:07:03
well as the mobile world this has dramatically gone down the cost and effort uh in in fact in mobile world of course
00:07:11
the test simply became a finger act just a simple swipe of trying to to interact
00:07:18
and and learn about robots. So those factors um play a role when it comes to shaping relationships and that's one of
00:07:24
the the things that we try to to address in our >> and so it's important obviously when
00:07:29
you're trying to meet somebody is you want to get to know them as well as you
00:07:32
can and part of getting to know them are kind of their behaviors and I'm wondering if if people's behaviors when
00:07:39
you go from the desktop to the mobile have kind of advanced or adjusted as we've moved through the years as well.
00:07:46
So people's behaviors might have changed and it might have changed in response to
00:07:50
a number of different factors. Of course the design of these these uh platforms have changed as we moved from desktop to
00:07:57
mobile. In the desktop era we have seen uh much uh much more information. When you looked at the profiles, typically
00:08:05
you had uh many different pieces of information where people could write long essays about themselves, go into
00:08:12
details about their personality, what they are looking for, and that created a perhaps um a a more informationful
00:08:20
environment that might have changed how you interact with someone. If you can read and if you
00:08:25
can learn a lot about somebody, of course, you might be much more likely to go into a maybe an interaction because
00:08:31
you feel more comfortable in the mobile world. Now, our our attention was simply
00:08:37
complying to this small screen that we have and whatever we could consume in that small screen um was practically the
00:08:44
information that these apps demanded from us. they did not uh give the opportunity to to consumers or they did
00:08:51
not necessarily ask consumers to fill in these very long profiles about themselves. They made it easier for
00:08:57
people to to easily look at profiles but at the same time that reduce the amount
00:09:02
of information that one can present about about themselves. So as a result of that you will anti you will expect
00:09:09
it's normal to anticipate that the interactions between individuals are are naturally going to change and in the
00:09:14
mobile world it might have disproportionately focused on some of the small pieces of information that
00:09:20
became a little more salient maybe for instance the the image of the person or the educational background of the
00:09:27
individual or the the job profile of the individual as these are commonly the type of information that are made a
00:09:33
little more salient compared compared to some of the other therapists. I >> Is there a difference then in the
00:09:39
behaviors when you're talking about who you're connected with, the the sex of
00:09:43
the person you're connecting with, male versus female? >> Um, in terms of the the behaviors or the
00:09:49
interactions, the outcomes that we can observe, we do not have data on the the the gender of the individuals. What we
00:09:57
know is that when we look at just purely usage, we are able to observe that there
00:10:02
are disproportionately more males on dating platforms compared to to females almost an 80 20% ratio. And this is
00:10:10
something that again when you look at at least the anecdotal uh studies and and evidence you will typically see uh these
00:10:18
these statistics um also confirm. But what we have seen at least uh or what one of the outcomes that we looked at
00:10:25
was how relationship formation or the type of couples that are formed uh look like as online dating or dating
00:10:35
platforms become more prevalent. So we looked at for instance um the the idea of uh a a female and a male again in a
00:10:45
heterosexual couple how the characteristics of the the husband and how the character characteristics of the
00:10:51
wife look like um in in regions where online dating was much more prevalent. And one of the things that we have seen
00:10:58
was that um despite the fact that over many many decades we have seen increasing examples increasing evidence
00:11:07
of sorting in uh marriage formation. What do I mean by that? We have seen over the years um more and more
00:11:15
marriages where the wife and the husband would have similar educational profiles.
00:11:20
>> They would have also more similar uh employment profiles. for instance, more
00:11:26
and more couples would be both employed. We've seen actually that with online
00:11:31
dating, the this trend is not necessarily followed or a a defying trend emerges uh from the couples that
00:11:39
seem to be formed more likely to coming from the online dating environment. What
00:11:44
do I mean by that? We have seen um lesser sorting in education where women seem to now be more comfortable marrying
00:11:52
uh individuals who have lesser education that lower uh maybe a degree lower and we have seen also uh more and more
00:12:01
formation of couples where both parties are not necessarily in labor force. We do see fewer uh dual earner couples
00:12:10
coming out of the the dating profile. So that reflects a degree of asymmetry between the experiences of men and
00:12:17
women. Um even though we do not observe exactly how these differences are reflected when individuals are engaging
00:12:24
uh with with others on the dating platform. >> So having done this research now is
00:12:29
there kind of a next logical step that you would like to take this research going down the road?
00:12:35
>> So there are many questions that we still don't have answers to. We have
00:12:39
answers to some questions about marriage. We have answers to some questions about the the sort of
00:12:44
potential health outcomes. For instance, we observe that um especially in the mobile era. Marriages are are declining
00:12:51
regions where online dating has become more prevalent and partially as a result of the declining marriages. We also know
00:12:59
that we've also seen that divorces are declining. Um that was not necessarily
00:13:03
the case when we looked at online dating in the desktop era. in the online in the
00:13:07
early days of online dating seems like there are disproportionately more older users who seem to be driving higher
00:13:14
levels of divorce. So what we would like to understand in some sense is this for
00:13:19
instance uh decomposing this effect of declining marriages. What does that really mean? Do they mean um do we see
00:13:26
potentially a delay in the marriage? Do we see uh couples becoming maybe more uh
00:13:33
skeptical of of getting into a marriage or or forming relationships that may not
00:13:37
necessarily result in a marriage and then also the implications of this. Just because marriages are declining that
00:13:44
doesn't mean people are are less happy or they are not necessarily feeling good
00:13:49
about their relationship outcomes. We don't unfortunately have right now a data to be able to link the the marriage
00:13:56
and divorce outcomes to to people's well-being and how they feel about themselves, how they feel about their uh
00:14:02
relationship status. We would love to be able to to also um have additional evidence, additional information,
00:14:10
additional findings related to how uh the marriage and divorce outcomes are reflecting on people's status.
00:14:16
>> Great PR, great to talk to you. Thanks very much. All the best. >> Thank you. Thank you as well.
00:14:22
>> You You got it. Pinar Yodum who is a professor here at the Wharton School.
00:14:27
>> Thank you for listening to the ripple effect. We hope you found this episode
00:14:30
informative and engaging. Don't forget to subscribe and leave us a review so
00:14:34
that we can continue to bring you the best insight from the Warden School.

Episode Highlights

  • The Ripple Effect Podcast
    Join host Dan Looney as he explores groundbreaking research from Wharton faculty.
    @ 00m 44s
    February 03, 2026
  • Impact of Online Dating
    Wharton professor Pinar Yilderum discusses the significant effects of online dating platforms.
    “The impact of online dating apps has been massive.”
    @ 01m 56s
    February 03, 2026
  • Changing Marriage Trends
    Research shows declining marriages and changing dynamics in couples formed through online dating.
    “Marriages are declining in regions where online dating has become more prevalent.”
    @ 12m 51s
    February 03, 2026

Episode Quotes

  • Online dating apps have had a massive impact on relationships.
    Why More Dating Options Can Lead to Fewer Matches
  • Marriages are declining in regions where online dating has become more prevalent.
    Why More Dating Options Can Lead to Fewer Matches

Key Moments

  • Online Dating Research01:25
  • Changing Relationship Dynamics01:56
  • Declining Marriages12:51

Tension Over Time

Words per Minute Over Time

Vibes Breakdown