How Much Does Google Know About Me? | Seth Stephens-Davidowitz | Modern Wisdom 134
Seth Stephens-Davidowitz (guest), Narrator, Chris Williamson (host), Narrator, Narrator, Narrator
In this episode of Modern Wisdom, featuring Seth Stephens-Davidowitz and Narrator, How Much Does Google Know About Me? | Seth Stephens-Davidowitz | Modern Wisdom 134 explores what Google Searches Reveal About Sex, Secrets, Happiness, and Parenting Seth Stephens-Davidowitz discusses how anonymous, aggregated data from Google, Pornhub, Facebook, and other platforms reveals people’s hidden behaviors, insecurities, and desires far more honestly than traditional surveys or self-reporting.
What Google Searches Reveal About Sex, Secrets, Happiness, and Parenting
Seth Stephens-Davidowitz discusses how anonymous, aggregated data from Google, Pornhub, Facebook, and other platforms reveals people’s hidden behaviors, insecurities, and desires far more honestly than traditional surveys or self-reporting.
He explains how this “unvarnished” data overturns common beliefs about sexuality, prejudice, politics, happiness, and the impact of parenting, and how creativity in data science is crucial to finding meaningful insights in massive datasets.
The conversation ranges from humorous examples (penis-size searches, breastfeeding porn) to serious social issues (suicide, stigma around herpes, closeted sexuality, DIY abortions), and how these patterns can inform better policy and social interventions.
Seth also previews his next book about using data to make better life decisions, covering topics like dating strategies, when alcohol actually boosts happiness, and why where you raise your kids may matter more than how you parent day-to-day.
Key Takeaways
Anonymous search data is more truthful than surveys.
People systematically lie or self-edit in face-to-face conversation and even anonymous surveys, but their Google searches (e. ...
Get the full analysis with uListen AI
Porn and search data uncover hidden sexual norms and taboos.
Patterns such as Indian men’s interest in breastfeeding porn, women’s disproportionate consumption of violent/rape-themed porn, and straight women’s heavy consumption of lesbian porn reveal preferences that are rarely admitted publicly or captured in surveys.
Get the full analysis with uListen AI
Search strings can map mental health crises and stigma.
Sequences like “herpes diagnosis → celebrities with herpes → how to commit suicide” show how young people catastrophize common conditions and desperately seek role models, suggesting targeted stigma-reduction strategies (e. ...
Get the full analysis with uListen AI
Closeted sexuality is visible in porn and “gay test” searches.
Gay porn consumption is fairly uniform across regions, but self-reported gay identity is much lower in conservative areas; frequent “gay test” searches in those regions reveal intense inner conflict where it’s socially hard to be openly gay.
Get the full analysis with uListen AI
Data can improve dating outcomes by decoding conversational patterns.
Speed-date transcripts show that women laughing at men’s jokes, women talking more about themselves, and men using supportive, empathetic phrases (“that must have been tough”) correlate strongly with mutual desire for a second date, while “hedge words” (“maybe,” “kinda”) signal disinterest.
Get the full analysis with uListen AI
Where you raise your kids matters more than most day-to-day parenting tactics.
Large-scale data on adopted children and families who move suggests neighborhood effects (local role models, norms, peer behavior) significantly shape outcomes, while differences between individual households have smaller long-term effects.
Get the full analysis with uListen AI
Happiness data challenges how we use alcohol and leisure time.
Experience-sampling studies show alcohol boosts happiness most when applied to boring activities (e. ...
Get the full analysis with uListen AI
Notable Quotes
“People kind of put on a very presentable front, but in the privacy of their own home on their Google search engine… they show a different side of themselves which is a little bit stupider, less polished, weirder, sometimes nastier.”
— Seth Stephens-Davidowitz
“All of human history up until five years ago, we didn’t know what people fantasized about sexually… now we do.”
— Seth Stephens-Davidowitz
“The single biggest effect of parenting is where you raise your kids.”
— Seth Stephens-Davidowitz
“It’s a lot easier to find insights into racism or child abuse or abortion… because unfortunately there’s not as much talent trying to find those insights as there is trying to beat the stock market.”
— Seth Stephens-Davidowitz
“Data science people don’t usually associate with creativity… but otherwise you kind of just drown in the data and you don’t really know what’s interesting.”
— Seth Stephens-Davidowitz
Questions Answered in This Episode
How should policymakers and mental health organizations practically use search data on suicide and stigma without violating privacy or causing harm?
Seth Stephens-Davidowitz discusses how anonymous, aggregated data from Google, Pornhub, Facebook, and other platforms reveals people’s hidden behaviors, insecurities, and desires far more honestly than traditional surveys or self-reporting.
Get the full analysis with uListen AI
What ethical boundaries should exist around researchers or companies mining porn and search data to draw conclusions about sexuality and identity?
He explains how this “unvarnished” data overturns common beliefs about sexuality, prejudice, politics, happiness, and the impact of parenting, and how creativity in data science is crucial to finding meaningful insights in massive datasets.
Get the full analysis with uListen AI
How might parents realistically act on the finding that neighborhood choice outweighs most parenting tactics, especially if they can’t afford to move?
The conversation ranges from humorous examples (penis-size searches, breastfeeding porn) to serious social issues (suicide, stigma around herpes, closeted sexuality, DIY abortions), and how these patterns can inform better policy and social interventions.
Get the full analysis with uListen AI
In what ways could traditional fields like psychology, sociology, or education be redesigned if they fully embraced big-data insights rather than legacy survey methods?
Seth also previews his next book about using data to make better life decisions, covering topics like dating strategies, when alcohol actually boosts happiness, and why where you raise your kids may matter more than how you parent day-to-day.
Get the full analysis with uListen AI
How can individuals apply these data-driven insights in their own lives—dating, happiness, career choices—without overfitting their behavior to statistics or losing personal nuance?
Get the full analysis with uListen AI
Transcript Preview
There are lots of people in this area and, you know, data science is just exploding in all kinds of ways and I think a lot of people are go- definitely millennials or people younger than millennials are also looking ... You know, it seems like the values are shifting a little bit where it's less about just making money. So I think initially everyone's kind of like, "Oh, data science, that's a lucrative field. I can get a job at-"
Mm-hmm.
... you know, getting people to click on ads or, uh, work, get a job in finance." Which, which is tot- are totally fine jobs. They're kind of bored of studying. You know, they- they- they like data science but they're kind of bored of s- of getting people to click on ads and they're, you know, they, they feel kind of unfulfilled and lacking purpose and I think there are ways to use this data, uh, towards social good as well.
(wind blows) Seth. Hi, man. How are you doing?
Really good. How are you?
Yeah. Very good, thank you. I'm excited for today. Big data and all this sort of stuff. It's going to be cool.
Yeah. I hope so.
Looking forward to it. So first things first, how do you describe what you do for work or on a day-to-day basis?
Uh, well, so I guess I'm, I guess I'm a data scientist and an- and an author, writer. So, uh, you know, I, I spend most of my time on books. I wrote Everybody Lies. I'm trying to write ... I'm in the process of writing another book. And, uh, other than that, I don't know. A lot of random projects. I do random consulting for companies and, uh, there's not necessarily a standard day, but-
I got you. Is it a lot of time on spreadsheets or similar sort of applications?
Yeah. Uh, R, the coding language. There's a lot of time on that, kind of moving back and forth between R and, uh, Google Docs, uh, 'cause I guess the combination of data science, which is R, and writing, which is Google Docs.
Got you.
Uh, and then sometimes just researching. A- a lot of, like, reading, so a lot of reading other people's studies. Kind of reading what, uh, other people are talking about since I can't just, uh, write about my own studies.
Which is a shame.
Yeah. (laughs)
Yeah. It'd be lovely. Um, so you wrote a book called Everybody Lies, New York Times bestseller. But I heard that you wanted to call it How Big Is My Penis? Is that right?
(laughs) Tha- tha- that- that is, that is correct, yeah. I-
You wanted to call your book How Big Is Your Penis?
No, How Big Is My Penis? Um-
How Big Is My Penis? N- yes.
Well, no. Basically the reason for it is that that's one of the top ... Well, I, I talk about how men ask more, Google more questions about their penis than any other body part. (laughs) And that one of the top questions they ask Google about their penis is, "How big is my penis?" Which is just, like, an absurd question to ask Google.
Install uListen to search the full transcript and get AI-powered insights
Get Full TranscriptGet more from every podcast
AI summaries, searchable transcripts, and fact-checking. Free forever.
Add to Chrome