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Ryan Cole MD engagement report

@DoctorCole - 244K followers on X

Measured over 3 original posts from a 30-day window, last computed on September 10, 2026.

Engagement

Per follower
0.232%
of 244K followers
Per impression
1.60%
35K views on a typical post
Reach
14.5%
of its followers see a post
Typical post
566
interactions (median)
Saved
0.192%
68 bookmarks on a typical post
Posting rate
0.37/day
active 23% of days
Peak time
03:00 UTC
Wednesday

Early reading. We have captured 3 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 566 interactions against 244K followers, an engagement rate of 0.232%. Posts are seen about 35K times each, and 1.60% of those impressions turn into an interaction. That is about 14.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 03:00 UTC, and Wednesday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video. The account's strongest tracked post pulled 23K interactions, about 41x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on September 10, 2026.

Where this sits in the catalog

At 0.232%, Ryan Cole MD sits above the 50th percentile of the 66,128 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 03:00 UTC, and Wednesday 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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video67% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 67% 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 1068 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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 4, 202641x their median

    Every step was designed to inflict maximum harm: • Splicing HIV into a coronavirus. • Blocking access to hydroxychloroquine and ivermectin. • Removing NAC from Amazon and supermarket shelves. • No early treatment. • Ventilators that killed 90% of patients. • Seeding nursing homes with Covid+ patients. • Blanket Do-Not-Resuscitate orders for the disabled. • "15 days to flatten the curve" that slowed the rate of natural immunity. • Closing schools for two years. • Masks that reduced oxygen. • Shutting down gyms. • Keeping liquor stores open. • Closing hiking trails and parks thus preventing people from getting vitamin D. • Remdesivir and Paxlovid that are expensive, useless, and deadly. • The most toxic and deadly vaccines in history on a new platform that will never work. • Billions of dollars spent on propaganda to convince people to accept every step of this nefarious plan. • Firings, censorship, and blacklisting of critical thinkers. Covid is a world war, launched by the ruling class, against humanity.

    17K5.3K559300855K viewsView on X
  • Aug 3, 202628x their median

    It was terrible; they planned something even worse. The CDC Planned Quarantine Camps Nationwide https://t.co/3qG9glqi7x

    11K4.2K6073922.1M viewsView on X
  • Aug 5, 202625x their median

    Ewww… this is gross Sprouts just became the first grocery chain in America to sell LAB GROWN MEAT 🍖 Boycott @sproutsfm Make sure you give them a 🖕 https://t.co/3TL3KKb6e4

    7.3K4.6K1.4K629372K viewsView on X
  • Aug 19, 202616x their median

    Sometimes, I think we’re missing the forest for the trees. Medical Establishment: We’ve never had better tools to help treat cancer! Me: That’s great. But why do are so many people getting cancer? Medical Establishment: There are amazing medicines to treat the millions with immune disorders! Me: Terrific. But why do so many people have immune disorders? Medical Establishment: There are new and better treatments for so many mental illnesses today! Me: Okay, but why do so many people have mental illness? Medical Establishment: We’re learning some of the secrets to correcting metabolic disorders! Me: Good news. But why do so many people have metabolic disorders? Medical Establishment: We’re cracking the code to help fix gut health! Me: Important. But why are so many people’s guts messed up? Medical Establishment: We’re devoting more resources than ever to figuring out how to mitigate side effects from treatments for trans people! Me: Bravo. But why do so many girls say they’re boys, and boys say they’re girls? Medical Establishment: We’ve made great strides in acceptance of obese people. Me: Cool. But shouldn’t we tackle the issues making so many Americans overweight? Medical Establishment: We have great options for injections for people who can’t absorb B12 and Vitamin D! Me: Nice. But why are so many people not able to absorb B12 and Vitamin D? Medical Establishment: We’re figuring out what diet and therapies really work for autistic kids. Me: Yeah— but why do so many kids have autism? What if we really studied and addressed root causes and it ended up solving a lot of these same issues?

    6.7K1.6K554130107K viewsView on X
  • Jul 29, 20267.7x their median

    Sad little man sitting deep in a lie He’s dead in his soul, but he’ll keep you alive Do what he says, not what he do ‘Cause the truth is for him and the lie is for you… https://t.co/yuRtFCNNdW

    3.2K99869108381K viewsView on X
  • Jul 24, 20263.4x their median

    A federal appeals court has reaffirmed New York’s strict school-vaccination requirements, dealing a setback to Amish families seeking religious exemptions. In Miller v. McDonald, the U.S. Court of Appeals for the Second Circuit ruled that the state’s elimination of religious exemptions does not violate the First Amendment-protected rights of Amish parents and private schools. The decision imposes significant fines for noncompliance.

    95147638111874K viewsView on X
  • Jul 23, 20262.3x their median

    Cancer Treatment Expenditures - Constant-$ 🚨 EOM June 2026 = 28.9% Excess Amazing how even this cannot awaken the walking zombies which make up the vast majority of humanity. This has resulted in 154,330 extra cancer deaths as of Wk 13 of 2026. The anecdotes ARE data... https://t.co/H8yfKEB6L3

    869328404048K viewsView on X
  • Aug 5, 2026

    Too true https://t.co/Oj5I2dMsVI

    5399011723K viewsView on X
  • Aug 13, 2026

    Dr. Brian Tyson: A Big Win for Physicians and Informed Consent A federal judge has barred California officials from investigating, prosecuting, or punishing IMA President Emeritus Dr. @pierrekory, IMA Senior Fellow Dr. Brian Tyson (@btysonmd), and other doctors because their medical opinions about COVID-19 differ from positions promoted by government public health authorities. Dr. Tyson breaks down the case—and why it matters for physicians, informed consent, and the First Amendment. Watch now.

    396132251332K viewsView on X
  • Aug 12, 2026

    The Precautionary Principle Was Abandoned as Officials Privately Questioned COVID-19 Shots in Pregnancy—Then Publicly Promoted Them Recently revealed text messages between Drs. Anthony Fauci, Rochelle Walensky, and Vivek Murthy show that in early 2021, top American health officials were privately discussing concerns that COVID-19 mRNA shots could pose risks to pregnancy, including possible miscarriage. But the public message was very different. All three doctors—and the major public health agencies—publicly urged pregnant women to get vaccinated. Few physicians publicly challenged this guidance. IMA Senior Fellow, Obstetrics and Gynecology Dr. Kimberly Biss (@docbiss) was one of the few in her specialty who began speaking up and asking questions after seeing troubling changes among patients in her own practice. Here, Dr. Biss examines what health officials knew about COVID-19 shots during pregnancy, the warning signals that were overlooked, and why pregnant women deserve rigorous safety data and full transparency before any new medical intervention. Watch now.

    1948012935K 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 566 interactions against 244K followers, an engagement rate of 0.232%. Posts are seen about 35K times each, and 1.60% of those impressions turn into an interaction. That is about 14.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 23% of days saw any activity at all. Most posts go out around 03:00 UTC, and Wednesday is the busiest day of the week. Of the 3 posts sampled, 67% carry an image or video. The account's strongest tracked post pulled 23K interactions, about 41x its own typical post. Only 3 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 Ryan Cole MD's engagement rate on X?
Ryan Cole MD (@DoctorCole) has an engagement rate of 0.232%, based on the median interactions across 3 original posts from the last 30 days against 244,020 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.232%, Ryan Cole MD sits above the 50th percentile of the 66,128 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 @DoctorCole have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @DoctorCole post?
Most posts go out around 03:00 UTC, and Wednesday is its busiest day, at roughly 0.37 posts per day across the measured window.

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