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MatLab crashes

@memecrashes · joined 01 Sep 2018

currently working on our PhD (imaginary issues no one cares about except a really really really specific audience)

333 106Followers
264Following
7 368Posts total
149.7KViews on collected posts

Последние посты

https://t.co/wRYY7nIO2V
19.1K views · 354 likes · 10 reposts · 0 replies Open on X →
Broke but with equities https://t.co/LcK3w1GogN
11.4K views · 27 likes · 0 reposts · 1 replies Open on X →
https://t.co/llGhVr9J3w
13.1K views · 287 likes · 0 reposts · 1 replies Open on X →
@memecrashes Whatever happens I wish Altman the absolute worst 1.7K views · 63 likes · 0 reposts · 1 replies Open on X →
@memecrashes You're trippin, openai literally steam rolling researchers with their own research. If their models are actually good, WHY DONT THEY SOLVE A PROBLEM NO ONE IS WORKING ON. BECAUSE IT CANT. 814 views · 18 likes · 0 reposts · 1 replies Open on X →
@memecrashes Is kinda funny & also horrific (morals? What morals?) reading about OpenAI trying to bully a mathematician over "career consequences" As threatening mathematicians with career consequences doesn't work too well since they're the type of people who choose to become m 1.3K views · 34 likes · 0 reposts · 1 replies Open on X →
It is important that we all remain really calm about the Navier-Stokes situation. The problem has not yet a complete proof, and the recent publication from OpenAI is still in revision (and will be for many months). Mathematics is all about human understanding. If a proof is not 39K views · 1.1K likes · 147 reposts · 23 replies Open on X →
@memecrashes 42069 not even prime. 3K views · 2 likes · 0 reposts · 0 replies Open on X →
@memecrashes Average people does not know that polynomial interpolation exists. 3.4K views · 37 likes · 1 reposts · 0 replies Open on X →
@memecrashes This meme template must die https://t.co/i5KKeR5aFA
3.9K views · 107 likes · 0 reposts · 3 replies Open on X →
https://t.co/sr2os4MskV
53K views · 585 likes · 14 reposts · 7 replies Open on X →

На фоне аккаунтов своего размера

11 постов за последние 90 дней рядом с диапазоном 100K–1M подписчиков. доходит до меньшего числа людей, зато вовлекает их куда сильнее.

Медианные просмотры3 890этот аккаунт5 986медиана для 100K–1M
Охват, %1.17%этот аккаунт1.57%медиана для 100K–1M
Вовлечённость, %2.20%этот аккаунт0.99%медиана для 100K–1M
ПоказательЭтот аккаунтМедиана для 100K–1MОтношение
Медианные просмотры на пост3 8905 9860.65×
Охват (просмотры ÷ подписчики)1.17%1.57%0.74×
Вовлечённость2.20%0.99%2.23×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

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

53K6 Sep
3.9K
3.4K
3K
39K9 Sep
1.3K
814
1.7K
13.1K12 Sep
11.4K14 Sep
19.1K15 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.15%6 Sep
2.83%
1.13%
0.07%
3.18%9 Sep
2.62%
2.33%
3.76%
2.20%12 Sep
0.25%14 Sep
1.91%15 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.99%.

What the audience does

Likes87.2%2 581 in total
Reposts5.8%172 in total
Replies1.3%38 in total
Quotes0.2%5 in total
Bookmarks5.5%164 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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