TEDMED engagement report
@TEDMED - 106K followers on X
Measured over 18 original posts from a 30-day window, last computed on October 13, 2026.
Engagement
A typical post picks up 1 interaction against 106K followers, an engagement rate of 0.001%. Measured over 18 original posts, its engagement rate beats 3% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 866 times each, and 0.115% of those impressions turn into an interaction. That is about 0.821% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 72% link out. The account's strongest tracked post pulled 8 interactions, about 8.0x its own typical post.
Measured over 18 original posts from a 30-day window, last computed on October 13, 2026.
Compared with accounts its own size
TEDMED's engagement rate beats 3% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 6% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.001%, TEDMED sits below the 10th percentile of the 213,186 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 10:00 UTC, and Tuesday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 72% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 0% 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.
- 72% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 259 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
- Sep 28, 20268.0x their median
Medicine can capture every word and still miss the patient. Better information systems solve one problem. Making someone feel heard is another.
- Sep 15, 20265.0x their median
Stem cells changed what medicine imagined might be possible. The harder question came next: how do you turn promise into care people can safely trust? @daniel_kraft's TEDMED Talk, reconsidered in a new In Context: https://t.co/BuWPh6mnl0
- Sep 17, 20264.0x their median
Vaccines are one part of outbreak preparedness. So are testing, case detection, public-health capacity, and the ability to respond quickly when cases appear. Having the tool is not the same as having the system ready to use it.
- Sep 8, 20264.0x their median
Transparency is not the same as understanding. A patient can see a conflict, incentive, rule, or recommendation without knowing what it means for their care. Our new In Context revisits @DrLeanaWen’s TEDMED Talk and the harder question behind disclosure: what do patients need to know to decide what to trust? Watch the In Context: https://t.co/DAVjrJggWI
- Aug 7, 20264.0x their median
A longer life is not the same as a longer healthy life. And health span is not only biological. It is also shaped by independence, purpose, dignity, and care. Watch the full Talk: https://t.co/54IPtcOCUz
- Sep 29, 20263.0x their median
Patients notice where attention goes. A new TEDMED In Context revisits Abraham Verghese’s ideas about presence in medicine and asks what happens when records, screens, and AI increasingly share the clinical encounter. Watch the new In Context: https://t.co/G2OpcQZd9I @StanfordMed
- Sep 23, 20263.0x their median
Biomedical data can do two things at once: Help science discover something new. Reveal something deeply personal about you or people related to you. That tension belongs inside the scientific question, not outside it. @the_yaniv TEDMED Talk shows what that looks like when a family tree becomes a research tool: https://t.co/hsbmJcrWw9
- Aug 31, 20263.0x their median
The body has become increasingly measurable. Prevention hasn’t become equally automatic. The hard part isn’t always collecting the signal. It’s turning that signal into understanding, action, and care
- Aug 5, 20263.0x their median
We treat cardiovascular disease, cancer, diabetes, and dementia as separate problems. But their greatest shared risk factor may be aging itself. Comment "Elderhood" for the link to the full Talk
- Aug 3, 20263.0x their median
Maybe the problem isn’t the word “old.” Maybe it’s how medicine and society have learned to think about old age. https://t.co/k8QhsE06gn
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 1 interaction against 106K followers, an engagement rate of 0.001%. Measured over 18 original posts, its engagement rate beats 3% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 866 times each, and 0.115% of those impressions turn into an interaction. That is about 0.821% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.6 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 10:00 UTC, and Tuesday is the busiest day of the week. Of the 18 posts sampled, 72% link out. The account's strongest tracked post pulled 8 interactions, about 8.0x its own typical post.
- What is TEDMED's engagement rate on X?
- TEDMED (@TEDMED) has an engagement rate of 0.001%, based on the median interactions across 18 original posts from the last 30 days against 105,522 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, TEDMED sits below the 10th percentile of the 213,186 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 @TEDMED have real engagement?
- Its engagement rate beats 3% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom 10% for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @TEDMED post?
- Most posts go out around 10:00 UTC, and Tuesday is its busiest day, at roughly 0.6 posts per day across the measured window.