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Nina Teicholz, PhD ✓

@bigfatsurprise · NYC · joined 05 Feb 2014

Science journalist challenging nutrition dogma and flawed dietary guidelines. PhD in nutrition. NYT bestselling author. Subscribe for uncensored insights 👇

209 106Followers
1 764Following
29 128Posts total
4.1MViews on collected posts

Postingan terbaru

Isn't this obvious? A science magazine should not be making political endorsements. 9.5K views · 101 likes · 11 reposts · 5 replies Open on X →
Why is weight loss with diet still so elusive and disputed? Learn about the history of obesity research--the dueling hypotheses going back more than a century 7.9K views · 68 likes · 14 reposts · 10 replies Open on X →
🚨Don't forget to join me TOMORROW at 1:30 pm ET for the next talk in the NIH Scientific Freedom Lecture Series, titled “Energy Balance or Fuel Partitioning? A History Lesson in the Science of Obesity Pathogenesis, and Its Implications.” NIH staff can attend in person in the http 18.6K views · 59 likes · 12 reposts · 12 replies Open on X →
🚨The history of obesity science coming to the NIH! So long overdue. Most researchers have no idea that the main theory for obesity pre-WWII found calories largely irrelevant 9.6K views · 115 likes · 20 reposts · 5 replies Open on X →
Type 2 diabetes can be put into remission forever! No one has done more in the UK than @lowcarbGP to bring this to light. 🙏⭐️ 11K views · 155 likes · 27 reposts · 6 replies Open on X →
Today in the @Telegraph Starting off a whole week on T2D we have a big piece on how our team have improved diabetes care for our UK NHS population 🥳 Just eat nutritious food that doesn’t put your blood glucose up!! 157 cases of drug free T2D remission @bigfatsurprise 40.2K views · 245 likes · 52 reposts · 16 replies Open on X →
Sandwiches are not considered "ultraprocessed" food (UPF) but a hamburger, which is basically a sandwich, IS. UPF is a mostly arbitrary, useless way to classify foods 31.1K views · 306 likes · 45 reposts · 55 replies Open on X →
What is the logic? https://t.co/NK4byDmWYY 3.8M views · 17.5K likes · 644 reposts · 1K replies Open on X →
🧐Be sure to join me June 12 at 1:30pm ET for the next talk in the NIH Scientific Freedom Lecture Series, titled “Energy Balance or Fuel Partitioning? A History Lesson in the Science of Obesity Pathogenesis, and Its Implications.” I’ll be joined by Gary Taubes, a science https:/ 37.1K views · 91 likes · 20 reposts · 9 replies Open on X →
In 2020, Nature magazine endorsed Joe Biden for U.S. president. A pre-registered, large-sample experiment found that the endorsement didn’t change people’s view of the candidates - but it did cause them to lose trust in Nature and in scientists in general. https://t.co/dni5GVCQZc 85.8K views · 982 likes · 189 reposts · 24 replies Open on X →

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

85.8K28 Oct
37.1K4 Jun
3.8M7 Jun
31.1K
40.2K8 Jun
11K
9.6K
18.6K11 Jun
7.9K
9.5K4 Aug

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

1.41%28 Oct
0.33%4 Jun
0.50%7 Jun
1.31%
0.81%8 Jun
1.70%
1.48%
0.45%11 Jun
1.16%
1.23%4 Aug

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes83.2%19 592 in total
Reposts4.4%1 034 in total
Replies4.9%1 146 in total
Quotes0.8%181 in total
Bookmarks6.8%1 592 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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