Joel Montfort ✓

@jmontforttx

Political Scientist. Democrat. #Longhorn, #UTD.

74 729Followers

72 098Following

19 109Posts total

23.6MViews on collected posts

Postingan terbaru

Joel Montfort ✓@jmontforttx29 Jul

@jmontforttx The number of people who think everything should be free is mind-boggling. Writers get paid to write books; when they stop getting paid, they will stop making their work accessible to the public. 1.8K views · 8 likes · 0 reposts · 6 replies Open on X →

Joel Montfort ✓@jmontforttx29 Jul

@jmontforttx Also said public library has to be filled with the books they scan so they cannot destroy the books to scan them they have to keep them in usable physical condition. And they must replace them when they do finally wear out with usable physical books that are free to 1.8K views · 14 likes · 0 reposts · 0 replies Open on X →

Joel Montfort ✓@jmontforttx29 Jul

@jmontforttx It must be free access and it must be physical books. And you have to pay the librarian to living wage commensurate with the cost of a top notch librarians education ( in library science). Also use purely human tech support on the computers. 2K views · 46 likes · 1 reposts · 0 replies Open on X →

Joel Montfort ✓@jmontforttx29 Jul

It should be a requirement that for every AI DC built, that company should have to build a public library and fill it with books and free internet and maintain it. 80.3K views · 3.4K likes · 124 reposts · 17 replies Open on X →

Joel Montfort ✓@jmontforttx29 Jul

@jmontforttx Why should we know anything when the machine will know it for us, paid at a premium of course 74.5K views · 2.4K likes · 57 reposts · 9 replies Open on X →

Joel Montfort ✓@jmontforttx29 Jul

The plan is to erase physical knowledge so they can monetize it. 6M views · 253.8K likes · 47.2K reposts · 1.1K replies Open on X →

Joel Montfort ✓@jmontforttx29 Jul

WTF AI companies are purchasing large quantities of used and rare books. Scanning their contents to train models. Then turning the originals to pulp. The sum of human thought, digitized and shredded. Every book that gets scanned disappears from the physical world permanently.

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17.5M views · 58.3K likes · 19.1K reposts · 4.4K replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil jauh melampaui audiensnya sendiri, dan audiens itu merespons.

Median tayangan74 504akun ini972median untuk 10K–100K

Jangkauan, %99.70%akun ini3.80%median untuk 10K–100K

Interaksi, %2.30%akun ini1.53%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	74 504	972	76.7×
Jangkauan (tayangan ÷ pengikut)	99.70%	3.80%	26.2×
Tingkat interaksi	2.30%	1.53%	1.50×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

17.5M29 Jul

74.5K

80.3K

1.8K

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

0.50%29 Jul

5.03%

3.29%

4.39%

2.30%

0.77%

0.76%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.

What the audience does

Likes75.6%317 921 in total

Reposts15.8%66 468 in total

Replies1.3%5 502 in total

Quotes1.5%6 234 in total

Bookmarks5.8%24 301 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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