Stuart Phillips (he/him) ✓
@mackinprof · Hamilton, Ontario · joined 12 Mar 2009
Distinguished Univ Professor, tier 1 @CRC_CRC, @McMasterU; opinions mine. https://t.co/9FZmrkm1K4. https://t.co/6w6NWxajVX recovering biohacker
58 268Followers
4 672Following
44 401Posts total
37.9KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
Protein and the 2025–2030 Dietary Guidelines for Americans: The Right Number… But the Right Process?
https://t.co/1W2UZlCKns
3.1K views · 29 likes
· 6 reposts · 1 replies
Open on X →
More teenage boys are using creatine. Here’s what pediatricians tell their patients https://t.co/k9UpmMaTeH
5.2K views · 36 likes
· 9 reposts · 3 replies
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@mackinprof Thank you Profesor Stuart for a great and educational post . I definitely will stay tuned.
70 views · 2 likes
· 0 reposts · 0 replies
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@jpapi7 @reallyoptimized actual data analysis - great theories, poor data. Mice are not small humans.
776 views · 7 likes
· 0 reposts · 3 replies
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4/4 Around 1.2–1.6 g/kg/day supports muscle and function, especially after 50 and alongside resistance training. Uncertainty remains. “Higher protein shortens your life” is a hypothesis to test, not a fact to teach.
768 views · 21 likes
· 2 reposts · 2 replies
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2/4 A meta-analysis of 715,128 people linked higher total protein with lower mortality. Our reanalysis of the NHANES III dataset behind a widely cited harm claim reached essentially opposite conclusions.
https://t.co/xAJxkFnGUB
1.4K views · 25 likes
· 1 reposts · 1 replies
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3/4 Nutrient-sensing biology matters. But lifespan gains in yeast, worms and rodents do not establish that higher protein shortens human life. Human evidence also links higher intake with less frailty and better-preserved function.
1.4K views · 23 likes
· 1 reposts · 1 replies
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1/4 “Higher protein shortens your life.” Sticky claim. Thin human evidence. Our search deliberately looked for harm. Most findings were null, tied to food sources or substitutions, or favoured higher intake. Protein intake is not the same as dietary pattern.
9.4K views · 109 likes
· 15 reposts · 8 replies
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@mackinprof Dr Fung fallen a long way from respected Intermittent Fasting advocate to pro Keto and now outright statin denier. Sad
164 views · 4 likes
· 0 reposts · 0 replies
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@mackinprof It’s absolutely scaring to see so many MD’s unable to critically appreciate research results.
261 views · 3 likes
· 0 reposts · 1 replies
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@mackinprof Yes, they were randomized to screening. We can all read. That resulted in substantially more statin use, with no significant difference in MACE or mortality. And now we're apparently using "trended toward benefit” as evidence too?
373 views · 4 likes
· 0 reposts · 1 replies
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Read the trial. Nobody was randomized to statins; they were randomized to a screening invitation (37% never showed). Statin-naive men trended toward benefit, baseline statin users got none. The harm was aspirin bleeding. This debunks liberal aspirin use, not statins. https://t.co
11.5K views · 117 likes
· 11 reposts · 15 replies
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Bend the knee and kiss the ring... not here 🇨🇦
2.7K views · 17 likes
· 0 reposts · 3 replies
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เทียบกับบัญชีขนาดเดียวกัน
14 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีขนาดเดียวกัน.
ยอดดูมัธยฐาน1 120บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %1.92%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %1.39%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 1 120 | 924 | 1.21× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 1.92% | 3.62% | 0.53× |
| อัตราการมีส่วนร่วม | 1.39% | 1.52% | 0.91× |
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
2.7K12 Sep
11.5K
37313 Sep
261
164
9.4K20 Sep
1.4K
1.4K
768
844
776
70
5.2K22 Sep
3.1K
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
0.75%12 Sep
1.25%
1.34%13 Sep
1.53%
2.44%
1.43%20 Sep
1.74%
1.93%
3.26%
1.18%
1.29%
2.86%
0.94%22 Sep
1.20%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes69.8%405 in total
Reposts7.9%46 in total
Replies6.9%40 in total
Quotes0.9%5 in total
Bookmarks14.5%84 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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