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Dr. Syed Haider: engagement report

@DrSyedHaider - 185K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Per follower
0.337%
of 185K followers
Per impression
1.75%
35K views on a typical post
Reach
19.2%
of its followers see a post
Typical post
620
interactions (median)
Saved
0.273%
96 bookmarks on a typical post
Posting rate
0.43/day
active 13% of days
Peak time
02:00 UTC
Sunday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 620 interactions against 185K followers, an engagement rate of 0.337%. Posts are seen about 35K times each, and 1.75% of those impressions turn into an interaction. That is about 19.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 43K interactions, about 69x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on October 15, 2026.

Where this sits in the catalog

At 0.337%, Dr. Syed Haider: sits above the 50th percentile of the 204,694 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.677%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 02:00 UTC, and Sunday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 50% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 190 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Aug 28, 202469x their median

    WATCH: Wow! Did you know that over the last 30 years in the US, over 1.3 million women have been MISDIAGNOSED with Breast Cancer? These women who didn’t have cancer underwent full cancer treatments like mastectomies, radiation, and chemo. https://t.co/0r2xZ2qMgZ

    27K14K1.2K8321.8M viewsView on X
  • Aug 20, 202467x their median

    Is this the final red pill on homosexuality? https://t.co/Lx3PeKa7lC

    35K4.4K1.4K9728.6M viewsView on X
  • Jul 16, 202637x their median

    Cool your potatoes. Seriously. Chris Kresser on JRE dropped a wild tip: bake or boil a potato, let it cool, and the resistant starch forms. It won’t spike your blood sugar like a hot one does. Even better, the potato diet. Eat plain potatoes (cooled) for days and people drop half a pound a day on average. Spontaneous calorie drop + gut microbiome feast. Cooling cooked potatoes creates resistant starch, which acts like fiber, it resists digestion in the small intestine, feeds beneficial gut bacteria, and lowers the glycemic response, helping with blood sugar control and satiety. Simple, old-school hack that actually works.

    20K2.0K7731202.7M viewsView on X
  • Jul 30, 202618x their median

    Black mold in drywall is going to unironicly be the ubiquitous generational environmental health problem for Millennials and Zoomers that lead additive in gasoline was for boomers and the silent gen

    11K412129821.2M viewsView on X
  • Aug 1, 202613x their median

    The year is 1925. Your doctor says you look run down and writes down the name of a tonic, and you drink it the way you drink anything a doctor names, a bottle a day, feeling marvellous. It is radium in distilled water. Four hundred thousand bottles are sold on medical endorsement, and the steel magnate who got through fifteen hundred of them is buried in 1932 in a lead-lined coffin. The year is 1948. Your baby is screaming with teething, so you do what the health visitor says and work a fingertip of powder into his gums, morning and night, for months. Then his hands and feet go raw and pink, daylight becomes unbearable, and the child who was babbling in the spring stops speaking. The powder is mercury, a fifth of the babies it does this to die, and it stays on the shelf until 1954. The year is 1958. Your wife is seven months gone and they send her down the corridor for the routine X-ray, and she lies on the cold plate with her coat over the chair and thinks nothing of it. An Oxford epidemiologist has just shown that one abdominal X-ray in pregnancy roughly doubles the child's chance of dying of cancer before adolescence. The profession declines to believe her, her funding dries up, and the radiographers carry on for twenty years. The year is 1983. Your son has haemophilia, and the new treatment means no more nights in hospital, just a vial from the fridge and a needle at the kitchen table before school. The vial is pooled from thousands of paid American donors, some of them prisoners. Around twelve hundred and fifty British haemophiliacs are given HIV this way, and the inquiry that finally says so out loud reports in 2024. The year is 1989. You are on a ward after your heart attack watching the monitor throw an extra beat, and they start you on a tablet to stop it doing that, because obviously a heart that skips is a heart about to stop. Somebody finally tests the tablet against a placebo. Seven point seven per cent dead within ten months on the drug, three per cent on the dummy, and the trial is halted early. The year is 1995. Your sister takes the high-dose chemotherapy with the bone marrow transplant because her oncologist calls it her best chance, and you sit in that corridor for four weeks while it takes her hair, her gut lining and two stone. Forty thousand American women go through it. In 1999 the trials find no survival advantage over ordinary treatment, and in 2000 the data that convinced everybody turns out to have been invented. The year is 2016. Your daughter is epileptic and pregnant and stays on the medicine that has kept her seizure-free since she was nineteen, because nobody at any appointment has ever told her otherwise. That is the year the warning finally reaches the box. The risk had been in the literature since the seventies, and roughly twenty thousand British children were born into it while the paperwork caught up. Now it is today. Your doctor has new drugs, new numbers and a fresh consensus, and he can tell you exactly what the evidence shows. So could every doctor on this list. None of it was quackery. All of it was the standard of care, taught in the schools, printed in the guidelines, paid for by the state. That is what a wrong answer looks like from the inside, and you are standing in one now.

    5.7K2.0K194165135K viewsView on X
  • Feb 2, 20268.9x their median

    WOAH. Strong humming 1h x 4 days in a row may eliminate sinusitis permanently. Just did my first hour Observations: - Nasal passages are wide open - Voice sounds much clearer Only 10min / day is required for maintenance Thank you to @breath_Guy for sharing the case report https://t.co/YCcpTxmbtW

    4.7K4202771643.0M viewsView on X
  • Aug 2, 20265.7x their median

    People on Twitter suddenly realising that vast swathes of academic writing are meaningless guff reminds me of the recent exposure of poor food standards at kebab factories. If you’ve ever read an academic paper/eaten a kebab it’s the least shocking scandal ever

    3.2K2315127453K viewsView on X
  • Aug 6, 20263.8x their median

    Just published study just dropped some bombshells on what we know about cancer. Researchers found cancer cells that survived chemotherapy may release fructose (the sugar found in fruit and fruit sweeteners) to help communicate with other cancer cells and tell them to metastasize (spread.) Cancer cells are using fructose to communicate! But wait there's more. "Cholesterol helps cells remain attached to one another, functioning like a form of biological glue. When cholesterol levels fall, those cellular bonds weaken, allowing cancer cells to separate more easily and move into other areas." That's right. Lower cholesterol levels makes it easier for cancer cells to spread. So what about statins? Researchers are investigating the clinical significance between statin therapy and chemotherapy but are quick to point out that these findings are not a reason to stop taking statins (lol). Talk about mixed messages! Important caveats: This study is based on cell and animal models, plus some correlative human data. This study focuses on ovarian cancer and not all cancers behave the same. Fructose from whole fruit is not as insidious as something like HFCS found in sodas.

    1.8K467833964K viewsView on X
  • Aug 17, 20263.6x their median

    The doctor said, "I went to medical school because I wanted to help people." That's fine but it's beside the point. The question is, "When you realized that western allopathic medicine is engaged in organized crime, what did you do about it?" They usually cannot answer that.

    1.8K367691733K viewsView on X
  • Jul 18, 20263.1x their median

    My cardiologist didn't prescribe a statin because he thought it would save my life. He prescribed it because he had to. His quality score depended on it. His reimbursement was tied to it. His insurance contracts required it. If my LDL was above the threshold and he didn't write the prescription, his performance metrics went red. Not mine. His. I spent three years wondering why every doctor I saw reached for the same drug. Then I looked at the system behind the prescription. What I found made everything make sense. Your doctor is not free. 🧵

    1.4K423784492K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 620 interactions against 185K followers, an engagement rate of 0.337%. Posts are seen about 35K times each, and 1.75% of those impressions turn into an interaction. That is about 19.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 43K interactions, about 69x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Dr. Syed Haider:'s engagement rate on X?
Dr. Syed Haider: (@DrSyedHaider) has an engagement rate of 0.337%, based on the median interactions across 2 original posts from the last 30 days against 184,531 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.337%, Dr. Syed Haider: sits above the 50th percentile of the 204,694 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @DrSyedHaider have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @DrSyedHaider post?
Most posts go out around 02:00 UTC, and Sunday is its busiest day, at roughly 0.43 posts per day across the measured window.

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