John B. Holbein ✓
@JohnHolbein1 · Charlottesville, VA · joined 28 Apr 2011
Associate Professor of Public Policy, Politics, Education @UVAbatten
60 985Followers
24 093Following
21 184Posts total
2.2MViews on collected posts
Ultimi post
Cerchiamo nuovi post…
working on something... https://t.co/c4lHf5jNnH
1.1K views · 2 likes
· 0 reposts · 0 replies
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@JohnHolbein1 All he's going to say is this and then he's going to pretend that nothing has happened. https://t.co/LDUd6KvtM2
9.5K views · 85 likes
· 1 reposts · 4 replies
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"We have direct evidence that, yes, in fact, this falsified analysis was conducted and included as a response to a request from reviewers." https://t.co/bLfnwWZ63F
14K views · 154 likes
· 12 reposts · 2 replies
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"Artificial Deadlines (Part 2): Retrograding Ariely & Wertenbroch (2002)"
https://t.co/nvrVbJKIw0
16K views · 90 likes
· 8 reposts · 3 replies
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You can literally see how Dan Ariely* manually changed points in his 2002 paper to produce the results he wanted.
This is truly remarkable levels of data fraud from one of the world's most famous social scientists.
*I'm guessing Ariely will land on the Gino dog-ate-my-homework
177.1K views · 1.2K likes
· 147 reposts · 45 replies
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All the authors of methods pieces about MTurk must be mourning the loss of all those future citations. https://t.co/9s82cryNg7
11.7K views · 176 likes
· 14 reposts · 9 replies
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Academics are biased against null effects.
As it turns out, so is the broader public.
10.5K views · 85 likes
· 11 reposts · 3 replies
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We should give Ariely some credit: he’s a great storyteller.
Of fiction.
3K views · 29 likes
· 1 reposts · 0 replies
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We should give Ariely some credit: he’s a great storyteller.
Of fiction.
6.5K views · 66 likes
· 0 reposts · 5 replies
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@JohnHolbein1 It's really amazing he's still around sfter all these years. If science was serious about self correction, every journal editor would request the data to be made public for every Ariely study and a complete investigation be made.
4.8K views · 89 likes
· 2 reposts · 2 replies
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“Artificial Deadlines (Part 1): Evidence of Fraud in an Influential Study About Procrastination”
https://t.co/ANZwK0DKe6
12.2K views · 63 likes
· 10 reposts · 2 replies
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More evidence out today that Dan Ariely likely fabricated data. https://t.co/k7zixoRfov
161.8K views · 605 likes
· 71 reposts · 19 replies
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@JohnHolbein1 I hate LinkedIn. It's just a dumpster fire of cringy posts and people patting themselves on the back.
2.7K views · 128 likes
· 3 reposts · 1 replies
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@JohnHolbein1 I’d say that the important question is whether those were actually their dollars.
1K views · 42 likes
· 0 reposts · 1 replies
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@nytimes @BulwarkOnline https://t.co/DzrugAL7go https://t.co/RSL573TiH6
35.8K views · 332 likes
· 50 reposts · 4 replies
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In addition to the substance of the reporting being great, there is an important story here about how political elites were able to spike this unfavorable story from publication in the @nytimes and @BulwarkOnline. https://t.co/DmUv2s4ne9
211K views · 918 likes
· 163 reposts · 21 replies
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Super important reporting from Adam Bonica.
It shows that political campaigns are preying on vulnerable seniors in their efforts to out fundraise each other.
"An 85-year-old retiree in Oxford, Ohio made more than 7,800 donations totaling over $648,000 to Democratic causes, htt
279.6K views · 1.2K likes
· 367 reposts · 43 replies
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Rispetto ad account della stessa dimensione
20 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.
Visualizzazioni mediane11 074questo account924mediana per 10K–100K
Copertura, %18.16%questo account3.62%mediana per 10K–100K
Interazione, %1.05%questo account1.52%mediana per 10K–100K
| Metrica | Questo account | Mediana per 10K–100K | Rapporto |
|---|---|---|---|
| Visualizzazioni mediane per post | 11 074 | 924 | 12.0× |
| Copertura (visualizzazioni ÷ follower) | 18.16% | 3.62% | 5.02× |
| Tasso di interazione | 1.05% | 1.52% | 0.69× |
Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →
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
2.7K28 Aug
6.9K29 Aug
161.8K31 Aug
12.2K
4.8K
6.5K
3K
10.5K
11.7K2 Sep
177.1K
16K
14K
9.5K
1.1K3 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
4.92%28 Aug
4.80%29 Aug
0.45%31 Aug
0.64%
1.92%
1.10%
1.00%
0.96%
1.74%2 Sep
0.80%
0.63%
1.20%
0.95%
0.19%3 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes73.8%25 522 in total
Reposts9.2%3 173 in total
Replies1.4%469 in total
Quotes1.5%515 in total
Bookmarks14.1%4 889 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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