Satchin Panda ✓

@SatchinPanda · La Jolla, California · joined 14 Sep 2012

Circadian Biologist, Author of the books "The Circadian Code" and "The Circadian Diabetes Code."

53 639Followers

101Following

3 558Posts total

14.2KViews on collected posts

Últimas publicaciones

Satchin Panda ✓@SatchinPanda18 Sep

Abnormal core body temperature rhythm among trauma patients. In the first 96 h of hospitalization, nearly 7 in 10 (71%) trauma patients lacked normal 24h body temperature rhythm. Among all patients, those with a lower average temp and larger daily temperature swings had higher

1.6K views · 16 likes · 2 reposts · 1 replies Open on X →

Satchin Panda ✓@SatchinPanda18 Sep

@SatchinPanda Do statins potentially cause als? 53 views · 1 likes · 0 reposts · 0 replies Open on X →

Satchin Panda ✓@SatchinPanda18 Sep

Daily Rhythm in Brain Temperature is a sign of Resilient Brain. In ICU patients monitored for brain injury, those who lost their daily brain temperature rhythm had 21-fold higher odds of death (P=0.016). Absolute temperature extremes didn't predict outcome — the rhythm did. htt

1.6K views · 17 likes · 4 reposts · 1 replies Open on X →

Satchin Panda ✓@SatchinPanda18 Sep

@SatchinPanda The medical profession never has any interest in nutrition until they can change a molecule and turn it into a high profit drug 95 views · 1 likes · 0 reposts · 0 replies Open on X →

Satchin Panda ✓@SatchinPanda17 Sep

@SatchinPanda The absorption problem is exactly what turns an interesting molecule into a real translational challenge. 54 views · 2 likes · 0 reposts · 0 replies Open on X →

Satchin Panda ✓@SatchinPanda17 Sep

Damaged mitochondria drive diseases from ALS to aging itself. Our cells rely on mitophagy to clear them out — and urolithin A (found in pomegranates) boosts this process. Problem: UA is barely absorbed from the gut. This paper came up with UA-30, a modified UA with far better htt

6.8K views · 124 likes · 29 reposts · 13 replies Open on X →

Satchin Panda ✓@SatchinPanda16 Sep

Will AI agents adopt their own language and dialects? With so much context dependent meaning of the English language, it is no surprise that AI agents are inventing their own language - AINGLISH with different dialects specific to Gemini, Anthropic and OpenAI... Science | 1.8K views · 5 likes · 0 reposts · 2 replies Open on X →

Satchin Panda ✓@SatchinPanda11 Sep

@SatchinPanda Would the effect survive after controlling for kickoff time, travel days, and team quality? Curious whether the 1970–94 era makes those confounders especially tricky. I’d dig through it with Sci-Quest: https://t.co/AMUYFvZ8PU 29 views · 0 likes · 0 reposts · 0 replies Open on X →

Satchin Panda ✓@SatchinPanda11 Sep

@SatchinPanda is this a gambling tip 👀 50 views · 0 likes · 0 reposts · 0 replies Open on X →

Satchin Panda ✓@SatchinPanda11 Sep

🏈🧠 Your body clock might be the real MVP of Monday Night Football. 25 years of MNF data (1970–1994): West Coast teams beat East Coast opponents 63% of the time, by an average of ~2 touchdowns — and still crushed the Vegas spread (p<0.01). Circadian rhythm > home-field https://t

2.1K views · 19 likes · 4 reposts · 2 replies Open on X →

Frente a cuentas del mismo tamaño

10 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a menos gente que cuentas de su tamaño.

Visualizaciones medianas828esta cuenta997mediana de 10K–100K

Alcance, %1.54%esta cuenta3.84%mediana de 10K–100K

Interacción, %1.19%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	828	997	0.83×
Alcance (visualizaciones ÷ seguidores)	1.54%	3.84%	0.40×
Tasa de interacción	1.19%	1.52%	0.79×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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

2.1K11 Sep

1.8K16 Sep

6.8K17 Sep

9518 Sep

1.6K

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

1.16%11 Sep

0.00%

0.39%16 Sep

2.47%17 Sep

3.70%

1.05%18 Sep

1.36%

1.89%

1.22%

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

What the audience does

Likes55.6%185 in total

Reposts11.7%39 in total

Replies5.7%19 in total

Quotes0.3%1 in total

Bookmarks26.7%89 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.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Cuentas similares