Michael Pollan ✓

@michaelpollan · Berkeley, CA · joined 13 Mar 2009

Author of A World Appears; This is Your Mind on Plants; How to Change Your Mind; Cooked; In Defense of Food; The Omnivore’s Dilemma, and The Botany of Desire.

581 147Followers

794Following

12 854Posts total

193.8KViews on collected posts

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Michael Pollan ✓@michaelpollan13 Sep

https://t.co/mCp8mEEpEs 20K views · 46 likes · 5 reposts · 5 replies Open on X →

Michael Pollan ✓@michaelpollan11 Sep

The week's news in psychedelics: Psilocybin may help prevent chemo-induced nerve pain; Definium scores second FDA Breakthrough Therapy designation https://t.co/tMLBG85t9q 14.2K views · 92 likes · 10 reposts · 3 replies Open on X →

Michael Pollan ✓@michaelpollan11 Sep

Barbara Kingsolver Remembers Wendell Berry - The New York Times https://t.co/v8FAeNEkcE 18.7K views · 58 likes · 18 reposts · 1 replies Open on X →

Michael Pollan ✓@michaelpollan11 Sep

What Are We Doing to Our World of Wonder? https://t.co/9S23FZsYD5 via @NYTOpinion 12.5K views · 42 likes · 14 reposts · 0 replies Open on X →

Michael Pollan ✓@michaelpollan10 Sep

Who we are, in a nutshell: Probiotic use surges as diet quality stagnates https://t.co/ttOhhBuXjr 14.8K views · 27 likes · 4 reposts · 2 replies Open on X →

Michael Pollan ✓@michaelpollan10 Sep

Don't miss this fascinating story by BCSP-Ferriss Fellow Andrew LAwler: Mind-altering drugs played key role in rise of Andean civilization | Science | AAAS https://t.co/HyUCaDcMUu 11.5K views · 87 likes · 12 reposts · 2 replies Open on X →

Michael Pollan ✓@michaelpollan7 Sep

Why Did Trump Order Up 660 Million Pounds of Mystery Meat? https://t.co/887Jbdjjrq via @NYTOpinion 15.2K views · 32 likes · 9 reposts · 2 replies Open on X →

Michael Pollan ✓@michaelpollan4 Sep

This week's news in psychedelics: A federal report encourages states to prepare for FDA approval of psychedelics; Could THC help with the psychedelic blinding problem? https://t.co/jEaWseFCza 18.7K views · 159 likes · 25 reposts · 10 replies Open on X →

Michael Pollan ✓@michaelpollan2 Sep

@michaelpollan tried to read it, but why do a tribute for WB by writing a hate piece on Musk? and why would you recommend it? 247 views · 1 likes · 0 reposts · 0 replies Open on X →

Michael Pollan ✓@michaelpollan1 Sep

@michaelpollan Gutted by his loss. This is a beautiful tribute. 258 views · 1 likes · 0 reposts · 0 replies Open on X →

Michael Pollan ✓@michaelpollan1 Sep

@michaelpollan https://t.co/M9ygwXuvNn

315 views · 4 likes · 2 reposts · 0 replies Open on X →

Michael Pollan ✓@michaelpollan1 Sep

Bill McKibben's wise and lovely words about Wendell Berry https://t.co/IF6RYqqsSh 27.5K views · 73 likes · 20 reposts · 4 replies Open on X →

Michael Pollan ✓@michaelpollan31 Aug

(100) Prozac Lessons: 5 Questions for drug historian David Herzberg https://t.co/5pOLDnnHzs 14.8K views · 15 likes · 2 reposts · 2 replies Open on X →

Michael Pollan ✓@michaelpollan28 Aug

@michaelpollan Yup, just ask Syd Barrett https://t.co/G52901WRq2 488 views · 2 likes · 0 reposts · 0 replies Open on X →

Michael Pollan ✓@michaelpollan28 Aug

@michaelpollan And they reduce brain activity. Seems like loss of local freedom (self) increases relational geometry with enviorment. Physics will catch up with human intuition 502 views · 6 likes · 0 reposts · 0 replies Open on X →

Michael Pollan ✓@michaelpollan28 Aug

@michaelpollan Thanks @michaelpollan Here environment means internally and externally oriented experience Primary article here: https://t.co/r8eG5ht2Sj 73 views · 2 likes · 0 reposts · 0 replies Open on X →

Michael Pollan ✓@michaelpollan28 Aug

Psychedelics tune the brain to the environment | Nature https://t.co/4Qlf9Jdj3S 24.1K views · 461 likes · 76 reposts · 13 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

17 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน14 196บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M

การเข้าถึง, %2.44%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M

การมีส่วนร่วม, %0.41%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 100K–1M	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	14 196	5 983	2.37×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	2.44%	1.49%	1.64×
อัตราการมีส่วนร่วม	0.41%	0.93%	0.44×

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

48828 Aug

14.8K31 Aug

27.5K1 Sep

315

258

2472 Sep

18.7K4 Sep

15.2K7 Sep

11.5K10 Sep

14.8K

12.5K11 Sep

18.7K

14.2K

20K13 Sep

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.41%28 Aug

0.13%31 Aug

0.35%1 Sep

1.90%

0.39%

0.40%2 Sep

1.04%4 Sep

0.29%7 Sep

0.88%10 Sep

0.22%

0.47%11 Sep

0.41%

0.74%

0.28%13 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes62.6%1 108 in total

Reposts11.1%197 in total

Replies2.5%44 in total

Quotes0.4%7 in total

Bookmarks23.4%415 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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