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ID

Jordan Weissmann ✓

@JHWeissmann · Washington, DC · joined 16 Jun 2009

Editorial Director at PPI. Former journo. Tweets represent my own opinions, not those of my employer or colleagues.

55 244Followers
3 811Following
1 591Posts total
185.5KViews on collected posts

Postingan terbaru

You tweet like a bot, you creepy dork https://t.co/H0PramBASF 1.2K views · 5 likes · 1 reposts · 1 replies Open on X →
@JHWeissmann A shrinking DC is good news for the American people and self government 1.3K views · 2 likes · 0 reposts · 0 replies Open on X →
Today's college cost-benefit discussion led me to calculate what full-freight at an ivy-plus school is likely to be in 18 years assuming their tuition hikes continue apace and...lol. Just lol. 9.4K views · 39 likes · 1 reposts · 4 replies Open on X →
Today's college cost-benefit conversation led me to calculate what 4 years full-freight at an Ivy-plus will likely be in 18 years, assuming tuition increases continue at their recent pace. Pretty brutal! 15.4K views · 43 likes · 0 reposts · 5 replies Open on X →
My mortgage is so underwater that I now see angler fish when I look out the window 50.5K views · 172 likes · 2 reposts · 6 replies Open on X →
Guys should I do this? https://t.co/44OZZfpn8v 3.6K views · 8 likes · 1 reposts · 7 replies Open on X →
One of the problems with elite college pricing is that their financial aid schemes seem loosely based on national incomes distributions, but much of their student base is from high-cost coastal metros. (48% of the Ivy League is from the Northeast). 9.4K views · 108 likes · 2 reposts · 3 replies Open on X →
@JHWeissmann @AshleySchapitl Tourism is collapsing. Commercial real estate is struggling. Federal jobs are disappearing. Inflation is rising. DC is in a recession. And the DC Council’s answer? Kick the can down the road and avoid the tough decisions. The math ain’t mathing. 1.1K views · 21 likes · 1 reposts · 3 replies Open on X →
It has been a very, very, very bleak year for commercial real estate in DC. (And thus our tax base). https://t.co/7oTPiP09B2 93.7K views · 206 likes · 34 reposts · 13 replies Open on X →

Dibandingkan akun berukuran sama

9 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan9 361akun ini924median untuk 10K–100K
Jangkauan, %16.94%akun ini3.62%median untuk 10K–100K
Interaksi, %0.45%akun ini1.52%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan9 36192410.1×
Jangkauan (tayangan ÷ pengikut)16.94%3.62%4.68×
Tingkat interaksi0.45%1.52%0.30×

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

93.7K1 Sep
1.1K
9.4K
3.6K
50.5K
15.4K2 Sep
9.4K
1.3K
1.2K

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.28%1 Sep
2.23%
1.21%
0.45%
0.36%
0.33%2 Sep
0.48%
0.22%
0.58%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes77.4%604 in total
Reposts5.4%42 in total
Replies5.4%42 in total
Quotes2.2%17 in total
Bookmarks9.6%75 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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