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Jay Van Bavel, PhD

@jayvanbavel · New York, NY · joined 21 Apr 2011

Psychology Prof @NYUPsych | Author of @PowerOfUsBook (https://t.co/bG3QVlNURs) | Director of NYU Center for Conflict & Cooper | Keynote Speaker @TheLavinAgency

68 589Followers
1 793Following
22 741Posts total
213.6KViews on collected posts

Últimas publicaciones

This is revealing: "nearly every one of the Gen Z-ers we spoke to explicitly asked for systemic, top-down change to social media platforms. Not through self-control apps or screen-time reminders but through the only mechanism they believe could work: regulation." One participant 21.9K views · 73 likes · 10 reposts · 6 replies Open on X →
Collaborative science is linked to bigger breakthroughs. Research papers and patents by teams are more highly cited than those produced by solitary individuals—even after adjusting for the number of authors. This means that great teams—rather than individual geniuses—have become 1.3K views · 17 likes · 2 reposts · 0 replies Open on X →
Groups make more economically rational decisions. A paper compared Individual and Group Behavior in the Ultimatum Game. Groups offered less than individuals. But groups were also willing to accept lower offers. "This pattern of results supports the hypothesis that groups are ht
3.6K views · 32 likes · 13 reposts · 4 replies Open on X →
This is a huge problem and it's harming prospective students because faculty just begin to ignore any outreach (I hear countless private complaints from faculty this so I'm glad it's turning into a public conversation). 7.4K views · 32 likes · 4 reposts · 1 replies Open on X →
I’ve pointed out that AI is killing cold outreach. Let’s check in on how that’s going. We’re months away from the Fall *2027* PhD admissions cycle and I’ve gotten about 75 inquiries. I expect this to increase exponentially until December. And this is just one of 10-15 categories
90.7K views · 383 likes · 30 reposts · 32 replies Open on X →
@jayvanbavel One more? https://t.co/Cfrn6jlPfo 76 views · 0 likes · 0 reposts · 0 replies Open on X →
@jayvanbavel We need to make open and provenance-d data the norm. I've seen analyses published in respected journals that were erroneous because of basic pre-sort mistakes in the data analyses. The inferential analyses on the data should always be independently replicable, if not 87 views · 0 likes · 0 reposts · 0 replies Open on X →
New evidence of research fraud from Dan Ariely just dropped. In this case, it looks like he manipulated data to create an illusory finding to appease reviewers and get his paper accepted at Psychological Science. He is quickly building one of the big track records of fraud I've 1.1K views · 11 likes · 3 reposts · 1 replies Open on X →
This new paper fails to replicate a highly cited finding by Dan Ariely (a) You can see the perfect results of a replication of Study 2 from Ariely and Wertenbroch on the role of deadlines in mitigating procrastination. (b & c) The new results do not replicate those of the https
12.9K views · 99 likes · 27 reposts · 3 replies Open on X →
Social media discourse is driven by false #polarization Analyzing 1.7 million social media posts, a series of controlled experiments, and a large global survey covering 40 countries (total N = 49,222), we find that (1) strong ideologues post their opinions significantly more h
74.5K views · 501 likes · 180 reposts · 17 replies Open on X →

Frente a cuentas del mismo tamaño

10 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas5 514esta cuenta1 084mediana de 10K–100K
Alcance, %8.04%esta cuenta3.91%mediana de 10K–100K
Interacción, %0.74%esta cuenta1.69%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación5 5141 0845.09×
Alcance (visualizaciones ÷ seguidores)8.04%3.91%2.06×
Tasa de interacción0.74%1.69%0.44×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

74.5K24 Aug
12.9K2 Sep
1.1K
87
763 Sep
90.7K13 Sep
7.4K14 Sep
3.6K
1.3K15 Sep
21.9K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.98%24 Aug
1.00%2 Sep
1.40%
0.00%
0.00%3 Sep
0.51%13 Sep
0.51%14 Sep
1.45%
1.47%15 Sep
0.42%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.69%.

What the audience does

Likes57.2%1 148 in total
Reposts13.4%269 in total
Replies3.2%64 in total
Quotes2.6%52 in total
Bookmarks23.6%474 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

13 Sep

Daily snapshots since 13 Sep 2026; the dashed line is the starting count.

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