Harvard T.H. Chan School of Public Health ✓
@HarvardChanSPH · Boston, MA · joined 26 May 2009
Health, dignity, and justice for every human. This is the official account for #HarvardChan.
356 250Followers
2 468Following
33 256Posts total
130.7KViews on collected posts
Ultimi post
Cerchiamo nuovi post…
@HarvardChanSPH Talk about misinformation. This is 100% false. The best way to get rid of type 2 diabetes is to eat red meat and reduce carbohydrates to under 20 g per day. Your post is simply moronic.
331 views · 40 likes
· 4 reposts · 0 replies
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@HarvardChanSPH Ok, explain to me like I’m a 5 year old. How in the world does red meat associate to higher risk of type 2 ?
Where is this *sugar* coming from? The “heme iron” 😂🤣
You actually posted this 🙄😩
944 views · 46 likes
· 0 reposts · 2 replies
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@HarvardChanSPH As a young doctor I had so much respect for you guys, and then I grew up. HR - 1.10?? Embarrassing...
2K views · 189 likes
· 5 reposts · 5 replies
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Briana Stephenson, assistant professor of biostatistics at Harvard Chan School, develops biostatistical models to better understand population health disparities. In this Q&A, she shares what motivates her work. https://t.co/8VW8dH7MrT
38.8K views · 89 likes
· 28 reposts · 42 replies
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Higher intake of heme iron, the type found in red meat and other animal products, was associated with a higher risk of developing type 2 diabetes in a new study led by researchers at Harvard Chan School. https://t.co/rzkwSddVN4
61.9K views · 88 likes
· 38 reposts · 155 replies
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Join us today at 10 a.m. ET for a fireside chat with @DanielEDawes and David Williams. They will discuss the impact of political determinants on health disparities in the U.S. and propose solutions for a healthier, more equitable future.
https://t.co/fsYpCR6mPF
11K views · 22 likes
· 13 reposts · 12 replies
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Today at 1 pm ET — Discover how poverty, power structures, and gender-based violence impact African health outcomes. A dynamic conversation between @AwaMCollSeck and @lia_tadesse. The discussion will be moderated by @wafaie_fawzi.
https://t.co/3uxpk4CRgH
7.5K views · 11 likes
· 6 reposts · 5 replies
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Today at 1 pm ET— Dive into the world of AI and health care with our expert panel and learn how AI is transforming public health while tackling issues like misinformation and bias. Join us!
https://t.co/BFdmmBaHsx
8.2K views · 11 likes
· 4 reposts · 5 replies
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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
8.2K30 Apr
7.5K2 May
11K6 May
61.9K16 Aug
38.8K19 Aug
2K21 Aug
94415 Nov
331
2723 Oct
Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.24%30 Apr
0.29%2 May
0.43%6 May
0.45%16 Aug
0.41%19 Aug
9.95%21 Aug
5.08%15 Nov
13.29%
0.00%23 Oct
Reactions — likes, reposts, replies and quotes — divided by views.
What the audience does
Likes57.3%496 in total
Reposts11.3%98 in total
Replies26.1%226 in total
Bookmarks5.2%45 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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