Lawfare ✓

@lawfare · joined 04 Sep 2010

Straight-shooting information and analysis at the intersection of national security, law, and policy. Support Lawfare's work: https://t.co/OgNkyhC7Vo

214 297Followers

173Following

45 056Posts total

63.3KViews on collected posts

Ultimi post

Lawfare ✓@lawfare8 Sep

Top Chinese AI labs are using specialized training data obtained from U.S. companies to power their models. Ibrahim Dagher argues that policymakers should extend the Department of Justice’s existing bulk data restrictions to cover AI training data to combat the advances of https:

764 views · 1 likes · 1 reposts · 1 replies Open on X →

Lawfare ✓@lawfare8 Sep

Today's Lawfare Daily is the September 4 livestream where Benjamin Wittes, @mollylroberts, @AnnaBower, @rparloff, and @EricColumbus discussed President Trump’s executive order targeting mail-in voting, litigation surrounding the Trump administration's immigration policies, and ht

1:34

1.7K views · 4 likes · 1 reposts · 1 replies Open on X →

Lawfare ✓@lawfare7 Sep

In the first Security Economics episode on Lawfare Daily, @petereharrell sat down with Mike Schmidt, the former CHIPS program lead, to discuss how the CHIPS program came together and lessons for U.S. industrial policy in other critical sectors. https://t.co/4Jh80b1JHo https://t.c

1:08

3.6K views · 2 likes · 2 reposts · 0 replies Open on X →

Lawfare ✓@lawfare6 Sep

Are you a current law student interested in writing and researching for Lawfare? Apply now to Lawfare's student contributor program today! Applications are due by September 14, 2026. https://t.co/1zOxCWdoYW https://t.co/ss0IROQ8ft

4.2K views · 10 likes · 2 reposts · 0 replies Open on X →

Lawfare ✓@lawfare4 Sep

https://t.co/4Jh80b1bRQ 1.8K views · 0 likes · 0 reposts · 0 replies Open on X →

Lawfare ✓@lawfare4 Sep

On Lawfare Daily, @petereharrell spoke to @mikereedschmidt, former Director of the CHIPS Program Office, about how the CHIPS program came together, challenges in implementation, and lessons for U.S. industrial policy in other critical sectors. This episode is part of the new htt 6.9K views · 4 likes · 1 reposts · 1 replies Open on X →

Lawfare ✓@lawfare11 Dec 2025

Deportation Inc. produced with @situ_research, is a new video series that dives into how immigration enforcement has expanded into a powerful, profit-driven ecosystem. Watch the first two videos–an intro situating the project’s historical and political context and an episode htt

1:52

32.5K views · 85 likes · 50 reposts · 11 replies Open on X →

Lawfare ✓@lawfare18 Dec 2024

Read the article here: https://t.co/TukMT4kk6C 7.8K views · 3 likes · 2 reposts · 0 replies Open on X →

Lawfare ✓@lawfare18 Dec 2024

The federal government has variance in cyber regulations across executive branch agencies. @Jason_Healey and Samuel Dab identify 8 drivers of this disharmony and provide recommendations on how to address them. https://t.co/QjYnU3HfUw

4K views · 10 likes · 3 reposts · 1 replies Open on X →

Rispetto ad account della stessa dimensione

6 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. copertura nella norma per la sua dimensione, reazione più debole della media.

Visualizzazioni mediane2 704questo account5 983mediana per 100K–1M

Copertura, %1.26%questo account1.49%mediana per 100K–1M

Interazione, %0.20%questo account0.93%mediana per 100K–1M

Metrica	Questo account	Mediana per 100K–1M	Rapporto
Visualizzazioni mediane per post	2 704	5 983	0.45×
Copertura (visualizzazioni ÷ follower)	1.26%	1.49%	0.85×
Tasso di interazione	0.20%	0.93%	0.21×

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

4K18 Dec

7.8K

32.5K11 Dec

6.9K4 Sep

1.8K

4.2K6 Sep

3.6K7 Sep

1.7K8 Sep

764

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

0.35%18 Dec

0.08%

0.46%11 Dec

0.10%4 Sep

0.00%

0.28%6 Sep

0.11%7 Sep

0.34%8 Sep

0.39%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes48.8%119 in total

Reposts25.4%62 in total

Replies6.1%15 in total

Quotes2.5%6 in total

Bookmarks17.2%42 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.