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Renaissance Philanthropy ✓

@RenPhilanthropy

Fueling a 21st century renaissance by increasing the ambition of philanthropists, scientists, and innovators.

3 852Followers
187Following
703Posts total
43.2KViews on collected posts

Son gönderiler

@RenPhilanthropy @jenniferdoleac Great news cc @SantiagoTobon @DanielMejiaL @o_garcia_ponce @RSerranoBerthet 190 views · 6 likes · 0 reposts · 0 replies Open on X →
Jennifer is a leading expert on the economics of crime, and a vocal proponent of using rigorous research to inform policy. She is the author of The Science of Second Chances: A Revolution in Criminal Justice, and the host of the @ProbCausation podcast. If you’re working in crime 771 views · 4 likes · 0 reposts · 0 replies Open on X →
We’re delighted to today announce @jenniferdoleac as a Fellow at @RenPhilanthropy, where she will be scoping a fund to dramatically reduce crime and violence around the world. Crime and violence causes trillions of dollars’ worth of damage every year in the U.S - and globally -
19.9K views · 54 likes · 3 reposts · 3 replies Open on X →
@RenPhilanthropy Awesome!! 160 views · 0 likes · 0 reposts · 0 replies Open on X →
Formal verification can increase our ability to design more reliable AI systems - more important than ever given recent incidents that demonstrate the need to develop more reliable and controllable AI models and agents. 2/3 550 views · 10 likes · 1 reposts · 1 replies Open on X →
The CSLib Initiative, led by Alexandre Rademaker, exists to support the CSLib project, to help the open-source community grow. It has been made possible by a founding grant from @coeff_giving. Learn more about CSLib: https://t.co/AHxQyVwKpG Get in touch at info@renphil.org 3/3 387 views · 10 likes · 1 reposts · 0 replies Open on X →
We're delighted to announce the launch of the CSLib Initiative, a new fund at @RenPhilanthropy. CSLib is an open-source library formalizing computer-science theory in the Lean proof assistant — aiming to be for computer science what Mathlib has become for mathematics. Read 21.3K views · 100 likes · 20 reposts · 2 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 7 gönderi, under 10K takipçi aralığıyla yan yana. hem erişimde hem etkileşimde benzerlerinin altında.

Medyan görüntülenme550bu hesap4 175under 10K için medyan
Erişim, %14.28%bu hesap250.82%under 10K için medyan
Etkileşim, %0.58%bu hesap1.41%under 10K için medyan
ÖlçütBu hesapunder 10K için medyanOran
Gönderi başına medyan görüntülenme5504 1750.13×
Erişim (görüntülenme ÷ takipçi)14.28%2.5× audience0.06×
Etkileşim oranı0.58%1.41%0.41×

Bu aralıktaki diğer hesaplar →   Başka bir hesapla karşılaştır →   Bu kıyas değerleri nasıl kuruluyor →

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

21.3K18 Aug
387
550
160
19.9K14 Sep
771
19015 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.58%18 Aug
2.84%
2.18%
0.00%
0.33%14 Sep
0.52%
3.16%15 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes69.2%184 in total
Reposts9.4%25 in total
Replies2.3%6 in total
Quotes3.0%8 in total
Bookmarks16.2%43 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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