Matt Kaeberlein ✓

@mkaeberlein · joined 13 Sep 2013

Husband, father, scientist, athlete (sort of), CEO, recovering academic. Passionate about helping people and companion animals live longer, healthier lives.

32 152Followers

353Following

5 237Posts total

76.3KViews on collected posts

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Matt Kaeberlein ✓@mkaeberlein3 Sep

And because I can't help myself, here is the data from the recent semaglutide @Nature paper plotted on the same graph as the Weindruch-Walford caloric restriction experiment from 40 years ago. Interesting question: Would semaglutide + 30% CR approach the effect seen here? https:

16.6K views · 66 likes · 9 reposts · 9 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein3 Sep

That would be nice. Or people could just learn the simple 900-day rule. If the controls approach 900 days and you see lifespan extension on top of that, it's probably a real effect. If your "long-lived" mice don't live at least 900 days, don't get too excited. There's a decent 5.7K views · 49 likes · 6 reposts · 3 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein3 Sep

@mkaeberlein @mike_lustgarten Perhaps every Kaplan–Meier plot for mice should also have a standardised control on the same plot so that this is more obvious. 4.7K views · 5 likes · 0 reposts · 0 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein3 Sep

Believe me, I wish it were otherwise. I feel like I'm the old man of longevity yelling "get off my lawn" every time someone who doesn't know the literature (or doesn't care, maybe both) starts the hype cycle again over a new longevity intervention. Except I'm yelling "just look 7.3K views · 72 likes · 4 reposts · 6 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein3 Sep

Rapamycin still is the king of practical agent to the braved longevity hackers. 9.1K views · 8 likes · 1 reposts · 1 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein3 Sep

@mkaeberlein @MartinBJensen Late to this discussion. Many good points made. Here’s an additional way to think about this. Most studies start in mice and get the usual (if I only I was a mouse trope). In this case, this is the result in mice with a drug that has dramatically alter 683 views · 5 likes · 0 reposts · 1 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein2 Sep

And yes, one study is males and the other study is females. The difference between males and females in C57BL/6 isn't that big... 1.1K views · 5 likes · 0 reposts · 0 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein2 Sep

Thank you so much for saying this @MartinBJensen! Within 15 seconds of perusing the article my reaction was a disappointed "the controls are short-lived and the GLP-1 treated animals are where the controls should have been". I really wish this had been a breakthrough result, ht

20.8K views · 112 likes · 14 reposts · 10 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein31 Aug

♥️ I can still beat AI at longevity science! ♥️ Should I feel like Garry Kasparov in the mid-1990s? 4.6K views · 46 likes · 1 reposts · 4 replies Open on X →

Matt Kaeberlein ✓@mkaeberlein31 Aug

@mkaeberlein Wow, this is actually a useful post I read to the end. Beats AI. Thanks, @mkaeberlein . 5.9K views · 16 likes · 1 reposts · 0 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

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

ยอดดูมัธยฐาน5 782บัญชีนี้982ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %17.98%บัญชีนี้3.52%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.61%บัญชีนี้1.92%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	5 782	982	5.89×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	17.98%	3.52%	5.11×
อัตราการมีส่วนร่วม	0.61%	1.92%	0.32×

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

5.9K31 Aug

4.6K

20.8K2 Sep

1.1K

6833 Sep

9.1K

7.3K

4.7K

5.7K

16.6K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.31%31 Aug

1.14%

0.69%2 Sep

0.47%

0.88%3 Sep

0.12%

1.12%

0.13%

1.05%

0.53%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.92%.

What the audience does

Likes74.1%384 in total

Reposts6.9%36 in total

Replies6.6%34 in total

Quotes3.5%18 in total

Bookmarks8.9%46 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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