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Kareem Carr, Ph.D.

@kareem_carr · Cambridge, MA · joined 30 Jun 2013

Statistician. Writer. PhD@Harvard. Thinking about scientific evidence, judgment, and modern life

173 167Followers
308Following
24 241Posts total
746.2KViews on collected posts

Ultimi post

My greatest annoyance with AI culture is how everything it touches becomes about AI. A mathematical theorem is proved, an art piece is made, a piece of software is created, and the announcement is nothing about the thing itself. It's all about whether they used AI and how. 622 views · 8 likes · 0 reposts · 1 replies Open on X →
Turns out the great R vs Python debate was resolved in the craziest way possible. No need to pick either one because AI's don't care, and humans won't be writing 99% of the code anyway. 76.1K views · 1.4K likes · 92 reposts · 45 replies Open on X →
@kareem_carr This is so stupid. It’s like saying “spreadsheets killed statistics”. 5.4K views · 59 likes · 0 reposts · 0 replies Open on X →
@kareem_carr I have always found it difficult to articulate crisply why DS exists as a separate branch outside of statistics 33.7K views · 155 likes · 3 reposts · 9 replies Open on X →
@kareem_carr We just had to give ourselves new titles again. We're still here! 30.6K views · 119 likes · 0 reposts · 2 replies Open on X →
This is an incredible time. After 1000+ years, math is becoming a semi-empirical science where you understand things to be correct because they have been computer verified, and not because you personally understand them from first principles. 32.1K views · 282 likes · 22 reposts · 26 replies Open on X →
Data science feels so dead now that it's like it never existed at all. AI seems to have killed it 556.7K views · 4.8K likes · 218 reposts · 184 replies Open on X →
The way people talk about AI transforming science makes it clear they have no clue how much scientists already use machine learning. What AI changes is cost. It's cheaper than hiring programmers, especially when those programmers need to be science-trained to be useful. 11K views · 110 likes · 8 reposts · 16 replies Open on X →

Rispetto ad account della stessa dimensione

8 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. arriva a più persone rispetto ad account della stessa dimensione.

Visualizzazioni mediane31 370questo account4 635mediana per 100K–1M
Copertura, %18.12%questo account1.76%mediana per 100K–1M
Interazione, %1.07%questo account1.35%mediana per 100K–1M
MetricaQuesto accountMediana per 100K–1MRapporto
Visualizzazioni mediane per post31 3704 6356.77×
Copertura (visualizzazioni ÷ follower)18.12%1.76%10.3×
Tasso di interazione1.07%1.35%0.79×

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

11K2 Aug
556.7K26 Aug
32.1K
30.6K
33.7K
5.4K
76.1K28 Aug
6228 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.24%2 Aug
0.94%26 Aug
1.05%
0.40%
0.50%
1.09%
1.98%28 Aug
1.45%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.35%.

What the audience does

Likes78.8%6 854 in total
Reposts3.9%343 in total
Replies3.3%283 in total
Quotes1.0%87 in total
Bookmarks13.0%1 131 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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