Adam Bataineh MD ✓

@DrAdamBat · joined 11 Apr 2020

evidence-based longevity. cofounder @Span_health (acquired by Eight Sleep). oncology specialist registrar. MD, MSc, MRCP

42 443Followers

2 296Following

5 184Posts total

3.4MViews on collected posts

Latest posts

Adam Bataineh MD ✓@DrAdamBat7 Sep

Everyone’s sleeping on urolithin a The actual next creatine. Lots of money to be made in it (i dont make anything on it myself) 15.1K views · 46 likes · 1 reposts · 8 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat7 Sep

Glycine will likely be the "next creatine" Although glycine imho is way more effective And all my favorite peptides have glycine residues "Either glycine or DT-109-treatment provides an athero-protective effect evidenced by reduced atherosclerosis in the whole aorta and 301.4K views · 790 likes · 39 reposts · 52 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat4 Sep

Exactly. Why do younger people heal faster/bounce back from insults quicker? This is the true measure of “biological age” that we dont have yet The are no interventions that can help with this other than exercise atm 1.8K views · 5 likes · 0 reposts · 3 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat3 Sep

Can we please remove all the neuroticism from the performance and longevity field Why is everyone attracted to this field so damn neurotic We need to focus on resiliency and defense, not fragility Anti Fragile Longevity Thrive DESPITE suboptimal inputs 36.5K views · 384 likes · 17 reposts · 30 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat24 Aug

The biggest bottleneck for aging data is time itself. Ultimately, we need to measure how every organ changes over a lifetime to truly understand how we age 2.6K views · 7 likes · 0 reposts · 3 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat23 Aug

Human brain organoids record the passage of time over multiple years https://t.co/SP0vwEzIgO 17.8K views · 35 likes · 10 reposts · 1 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat23 Aug

This is a good example of the limitation of biowearable data for actionable insights I hear variations of this this all the time. Doctors dont look at my data or dont have the time to go through my data In reality its mostly because the data from wearable are just not that 2.1K views · 5 likes · 0 reposts · 0 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat22 Aug

I put eight years of Fitbit data into Claude. It spent a couple of hours analyzing everything, looking for correlations, etc. What it found: When I stay up late, I don't get as much sleep 2.9M views · 35.9K likes · 636 reposts · 367 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat18 Aug

Fascinating model of how hair grows Outer layer of hair mechanically pulls the hair upward, triggering the root to produce more cells - making the hair grow longer I wonder what an aging model of this would look like. How does this mechanism change with aging https://t.co/74VrG

5.3K views · 22 likes · 3 reposts · 2 replies Open on X →

Adam Bataineh MD ✓@DrAdamBat17 Aug

Growth and movement of cells in a human hair follicle. From this paper: Mapping cell dynamics in human ex vivo hair follicles suggests pulling mechanism of hair growth https://t.co/m28Hsm7IYr https://t.co/85xBfmAZ50

0:04

158.4K views · 767 likes · 140 reposts · 8 replies Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views16 454this account972median for 10K–100K

Reach, %38.77%this account3.80%median for 10K–100K

Engagement, %0.41%this account1.53%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	16 454	972	16.9×
Reach (views ÷ followers)	38.77%	3.80%	10.2×
Engagement rate	0.41%	1.53%	0.27×

Others in this range → Compare with another account → How these benchmarks are built →

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

158.4K17 Aug

5.3K18 Aug

2.9M22 Aug

2.1K23 Aug

17.8K

2.6K24 Aug

36.5K3 Sep

1.8K4 Sep

301.4K7 Sep

15.1K

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

0.58%17 Aug

0.51%18 Aug

1.28%22 Aug

0.24%23 Aug

0.26%

0.38%24 Aug

1.18%3 Sep

0.44%4 Sep

0.29%7 Sep

0.36%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.

What the audience does

Likes92.1%37 919 in total

Reposts2.1%846 in total

Replies1.2%474 in total

Bookmarks4.7%1 940 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.