Randy Barnett ✓

@RandyEBarnett · Washington, DC. U.S.A. · joined 15 Dec 2009

GeorgetownLawProf/Books: A Life for Liberty/Our Republican Constitution/Restoring the Lost Constitution/The Structure of Liberty/Original Meaning of 14th Amdmt

49 261Followers

767Following

947Posts total

31.3KViews on collected posts

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Randy Barnett ✓@RandyEBarnett24 Sep

LLM’s are not built for what an originalist search is looking for. And they want to please users. But a small language model might assist in coding a properly confined database. There’d have to be redundancies and the ability to check the results. Food for thought. 1.5K views · 2 likes · 3 reposts · 1 replies Open on X →

Randy Barnett ✓@RandyEBarnett24 Sep

What if AI could use the same historical texts as corpus linguistics? Professor @RandyEBarnett asks whether "small language models" trained on curated texts could combine the strengths of AI and traditional corpus linguistics. https://t.co/CycDeCqjAk

2:04

1.6K views · 2 likes · 0 reposts · 0 replies Open on X →

Randy Barnett ✓@RandyEBarnett21 Sep

Congratulations to @Harvard_Law 2.1K views · 34 likes · 1 reposts · 0 replies Open on X →

Randy Barnett ✓@RandyEBarnett21 Sep

I lost my autographed picture of Jayne Mansfield to Hurricane Helene. Her penmanship was gorgeous. Seriously. I found this example on EBay. https://t.co/XJoov6hjd7

3K views · 12 likes · 3 reposts · 0 replies Open on X →

Randy Barnett ✓@RandyEBarnett21 Sep

I noticed a name was missing. 17.5K views · 35 likes · 5 reposts · 8 replies Open on X →

Randy Barnett ✓@RandyEBarnett21 Sep

Who still uses search? Or how often? 2.7K views · 12 likes · 1 reposts · 7 replies Open on X →

Randy Barnett ✓@RandyEBarnett20 Sep

@RandyEBarnett Google absolutely owned search, and made a fortune. Now, they use that money and monopoly power to push other agendas. They are as oblivious to their future as Detroit auto executives in the early 70’s laughing at Japanese auto offerings. Somebody is going to eat 2.9K views · 2 likes · 0 reposts · 0 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

7 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน2 707บัญชีนี้1 001ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %5.50%บัญชีนี้3.95%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.40%บัญชีนี้1.55%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	2 707	1 001	2.70×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	5.50%	3.95%	1.39×
อัตราการมีส่วนร่วม	0.40%	1.55%	0.26×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

2.9K20 Sep

2.7K21 Sep

17.5K

2.1K

1.6K24 Sep

1.5K

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

0.10%20 Sep

0.74%21 Sep

0.27%

0.50%

1.65%

0.19%24 Sep

0.40%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.

What the audience does

Likes64.7%99 in total

Reposts8.5%13 in total

Replies10.5%16 in total

Quotes1.3%2 in total

Bookmarks15.0%23 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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เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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