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Jack Meyer 🏛️ ✓

@Jackbmeyer · Vermont/Oxford · joined 05 Mar 2015

Economist; Researching Institutions, Innovation, Public Goods, and Rural Development. (RT!=E) MPhil Student @OxfordEconDept, MSc @LseEcHist

20 294Followers
972Following
14 918Posts total
77.8KViews on collected posts

โพสต์ล่าสุด

Decades of discussion over how implicit biases can be reproduced and propagated through training data in machine learning, and you're surprised that the LLMs are converging on effective altruism, technocratic liberalism, and pro-growth ideology? 2.6K views · 69 likes · 6 reposts · 2 replies Open on X →
A bit of reading for today https://t.co/8ehikrmV8l
5.2K views · 125 likes · 1 reposts · 1 replies Open on X →
Returning to the UK is finally allowing me to return to one of my favorite pastimes: complaining about British administrative institutions 1.1K views · 39 likes · 0 reposts · 1 replies Open on X →
Learning that £150 to change flights actually costs £598 (more than double the cost of an entirely new ticket) https://t.co/jGHYIlpcxm
2K views · 20 likes · 0 reposts · 1 replies Open on X →
Here it is, the article you’ve all been waiting for: https://t.co/u8dMP16EKn https://t.co/l7zKXOPr9E
32.3K views · 157 likes · 31 reposts · 3 replies Open on X →
@Jackbmeyer Crossing my fingers hoping it's "Why institutions... differ across countries" 297 views · 1 likes · 0 reposts · 1 replies Open on X →
I’ve been holding off in pursuit of other topics, but I think it’s about time I write a “why institutions” article 34.3K views · 9 likes · 0 reposts · 1 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงไปไกลเกินผู้ติดตามของตัวเอง และผู้ชมก็ตอบสนอง.

ยอดดูมัธยฐาน2 283บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %11.25%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %2.74%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์2 2839242.47×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)11.25%3.62%3.11×
อัตราการมีส่วนร่วม2.74%1.52%1.80×

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

34.3K30 Apr
297
32.3K11 May
2K18 Sep
1.1K
5.2K
2.6K

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

0.03%30 Apr
0.67%
0.59%11 May
1.05%18 Sep
3.58%
2.48%
3.00%

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

What the audience does

Likes69.3%420 in total
Reposts6.3%38 in total
Replies1.7%10 in total
Quotes0.5%3 in total
Bookmarks22.3%135 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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