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Channel

Evidence-Based Medicine

@Evidence_Based_Medicine

On this record: Also posting the same content · Growth · Engagement · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry

2,430subscribers

-2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001334967732
TypeChannel
Username@Evidence_Based_Medicine
Created3 December 2017measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live25 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/Evidence_Based_Medicine

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

2,4262,4322,4296 August 2026 — 2,432 subscribers6 August 2026 — 2,431 subscribers9 August 2026 — 2,427 subscribers16 August 2026 — 2,429 subscribers19 August 2026 — 2,426 subscribers22 August 2026 — 2,427 subscribers25 August 2026 — 2,430 subscribers2,4306 August 202625 August 2026
7 measurements spanning 19 days, net -2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,425–2,433 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 15:082,430+3
22 Aug 2026, 23:262,427+1
19 Aug 2026, 15:492,426-3
16 Aug 2026, 13:582,429+2
9 Aug 2026, 13:112,427-4
6 Aug 2026, 20:572,431-1
6 Aug 2026, 13:472,432first reading

Engagement

20 posts held, back to 7 July 2020the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 October 2022. An engagement rate over an empty window would be a number about nothing.

Recent posts

2 Nov 2021, 21:49 UTC≈20,300 viewsread 7 August 2026

#BrainTrust If a test to detect a disease whose prevalence is 1:1000 has a false-positive rate of 5%, what is the chance that a person found to have a positive result actually has the disease, provided you know nothing about the person's signs and symptoms? @Evidence_Based_Medicine #Screening_tests

29 Aug 2020, 07:22 UTC≈7,870 viewsread 7 August 2026
Forwarded from @Internal_MedicinePhoto

🔵 #Approach to Fever of Unknown Origin @Internal_Medicine 📄 Hersch EC, Oh RC. Prolonged febrile illness and fever of unknown origin in adults. Am Fam Physician. 2014;90(2):91–96.

17 Aug 2020, 03:17 UTC≈6,800 viewsread 7 August 2026
Forwarded from @Internal_MedicinePhoto

🔵 #Approach to Failure to Thrive (FTT) @Internal_Medicine 📄 Cole SZ, Lanham JS. Failure to thrive: an update. Am Fam Physician. 2011;83(7):829–834.

12 Aug 2020, 07:56 UTC≈5,840 viewsread 7 August 2026
Forwarded from @Internal_MedicinePhoto

🔵 #Approach to Facial Flushing @Internal_Medicine 📄 İkizoğlu G. Red face revisited: flushing. Clin Dermatol. 2014;32(6):800–808.

5 Aug 2020, 16:34 UTC≈5,080 viewsread 7 August 2026
Forwarded from @Internal_MedicinePhoto

🔵 #Approach to Eye pain @Internal_Medicine 📄 Deibel JP, Cowling K. Ocular inflammation and infection. Emerg Med Clin North Am. 2013;31:387–397.

5 Aug 2020, 02:01 UTC≈4,760 viewsread 7 August 2026

Our prayers are with the people in Lebanon 💔🇱🇧

Showing the 12 most recent of 20 posts we hold for @Evidence_Based_Medicine. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Polls

The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

25 Jul 2020, 06:28 UTCAnonymous Quiz484 voters

Which of the following genes is rarely mutated in gastrointestinal (GI) malignancies?

  1. TP5320%
  2. APC12%
  3. SMAD430%
  4. VHL25%
  5. MLH112%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

24 Jul 2020, 13:56 UTCAnonymous Quiz328 voters

💯 Which of the following cancer therapies is NOT associated with the listed cardiotoxic side effect?

  1. Trastuzumab: Systolic heart failure19%
  2. Bevacizumab: Hypertension23%
  3. Ipilimumab: Myocarditis25%
  4. Anastrozole: Venous thromboembolism33%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

23 Jul 2020, 15:11 UTCAnonymous Quiz431 voters

💯 Which of the following combinations does NOT have potential for significant pharmacological interaction?

  1. Simvastatin ➕ Erythromycin26%
  2. Sildenafil ➕ Nitroglycerin16%
  3. Pravastatin ➕ Ketoconazole18%
  4. Cyclosporine ➕ St. John's wort17%
  5. Digoxin ➕ Verapamil24%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 7 July 2020 to 9 October 2022. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 43,851 of 1,604,598entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 August 2026 — this entry's latest reading, not the date you are reading this.

“Evidence-Based Medicine” (@Evidence_Based_Medicine), 2,430 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/Evidence_Based_Medicine.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.