Channel
@British_Medical_Journal
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
14,107subscribers
+644 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001409801003 |
|---|---|
| Type | Channel |
| Username | @British_Medical_Journal |
| Description | All the latest articles published on BMJ Discussion Group https://t.me/Medical_Professionals_Forum Contact us https://t.me/Contact_Updates_in_Medicine_Bot |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/British_Medical_Journal |
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 08:51 | 14,107 | +3 |
| 4 Nov 2026, 05:57 | 14,104 | +24 |
| 3 Nov 2026, 07:21 | 14,080 | +57 |
| 2 Nov 2026, 07:46 | 14,023 | +7 |
| 1 Nov 2026, 04:38 | 14,016 | -3 |
| 30 Oct 2026, 03:07 | 14,019 | +8 |
| 29 Oct 2026, 03:39 | 14,011 | +11 |
| 28 Oct 2026, 04:18 | 14,000 | +10 |
| 27 Oct 2026, 05:19 | 13,990 | +6 |
| 26 Oct 2026, 06:44 | 13,984 | +8 |
| 25 Oct 2026, 07:38 | 13,976 | +8 |
| 24 Oct 2026, 08:05 | 13,968 | +4 |
| 23 Oct 2026, 06:46 | 13,964 | +2 |
| 22 Oct 2026, 08:36 | 13,962 | +17 |
| 21 Oct 2026, 02:27 | 13,945 | +8 |
| 20 Oct 2026, 01:59 | 13,937 | +17 |
| 19 Oct 2026, 01:01 | 13,920 | -6 |
| 18 Oct 2026, 03:28 | 13,926 | +9 |
| 17 Oct 2026, 00:26 | 13,917 | +4 |
| 16 Oct 2026, 02:38 | 13,913 | first reading |
71 posts held, back to 13 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 28 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 71 (13 August 2026 – 5 November 2026) |
| Views total | 11,182 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 18:01 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Telegram’s own ‘edited’ marker: 0 of 39 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Progressive bilateral ptosis and dyspnoea http://www.bmj.com/content/395/bmj-2026-100755.short?rss=1 A man in his 70s presented to the emergency department with progressive bilateral ptosis (fig 1) and increasing dyspnoea over 72 hours. He also reported binocular diplopia after prolonged reading on his phone while waiting to be seen. On questioning, he did not report headache, chest pain, palpitations, dysphagia, dy…
We need to build risk management into training curriculums http://www.bmj.com/content/395/bmj-2026-101306.short?rss=1 Holding risk is fundamental for GPs owing to the sheer volume of decisions that we make daily in clinic.1 As a registrar, we have only one learning outcome in our workplace based assessment curriculum that discusses risk, which states that we should focus on “managing risk and uncertainty while adopt…
Medical news in brief: New psoriasis treatment, endometriosis prescriptions soar, inquiry into hip fracture mortality rates, and other stories http://www.bmj.com/content/395/bmj-2026-101293.short?rss=1 MedicopoliticsTrade union changes name to be more inclusiveThe UK’s Hospital Consultants and Specialists Association (HCSA) formally changed its name to the Hospital Doctors Union (HDU).1 Announcing the change, the HD…
Interventions for adhesive capsulitis: systematic review and network meta-analysis of randomised controlled trials http://www.bmj.com/content/395/bmj-2026-101057.short?rss=1 AbstractObjectiveTo compare the benefits and harms of therapeutic interventions for adhesive capsulitis.DesignSystematic review and network meta-analysis of randomised controlled trials.Data sourcesMedline, Cochrane Library, Embase, Web of Scien…
Fireworks are an underestimated danger to public health http://www.bmj.com/content/395/bmj-2026-101280.short?rss=1 In 2025, 13 000 people were injured by fireworks.1 Some countries have taken a firm stance: the Netherlands has banned consumer use of fireworks, joining Ireland, Chile, and Australia.2 But in many countries, where consumer bans are not in place (including India, the UK, and the US), there remains a cri…
Measles: New York reports first death in over 30 years as US outbreak continues to surge http://www.bmj.com/content/395/bmj-2026-101355.short?rss=1 A child has died in a measles outbreak in Lewis County, New York—the first death from the disease in the state in 30 years, the New York State Department of Health said.1The state governor, Kathy Hochul, said that she was “heartbroken” to learn of the child’s death.It fo…
Lenacapavir: Why a newly approved generic version of the blockbuster HIV drug won’t be available in the areas that need it most http://www.bmj.com/content/395/bmj-2026-101354.short?rss=1 A cheap, generic version of one of the world’s best HIV prevention drugs will be out of reach for patients in at least 26 countries, the US manufacturer of the original drug has confirmed.The first generic version of lenacapa…
Don’t “scapegoat” GPs for rising hospital demand, leaders say http://www.bmj.com/content/395/bmj-2026-101349.short?rss=1 Improved access to general practice is causing pressure on NHS hospitals, the chief executive of NHS England has warned.Speaking to MPs, Jim Mackey said that increased access to GP appointments was leading to a spike in demand and long waits for secondary care.But GP leaders h…
Perioperative respiratory adverse events in children undergoing adenotonsillectomy with laryngeal mask airway versus endotracheal tube ventilation: multicentre, randomised controlled trial http://www.bmj.com/content/395/bmj-2026-101019.short?rss=1 AbstractObjectiveTo assess the effect of ventilation with a laryngeal mask airway (LMA) compared with endotracheal tube (ETT) on perioperative respiratory adverse events (…
Do abortion drugs pollute the water supply? http://www.bmj.com/content/395/bmj-2026-101177.short?rss=1 On 9 September the US Environmental Protection Agency (EPA) announced that it will begin testing water supplies for mifepristone and misoprostol,1 the drugs used for medical abortion, among more than 1400 pharmaceuticals, pesticides, and other chemicals.2The testing is to “improve the agency’s understanding of what…
Boost health worker placements in rural areas, Chris Whitty says http://www.bmj.com/content/395/bmj-2026-101332.short?rss=1 Health challenges in England’s rural areas are not being recognised or supported, the nation’s top doctor says.In his annual report on the state of the public’s health,1 chief medical officer Chris Whitty highlighted the “unique challenges” faced by people living in rural areas and small towns.…
AI enabled biological threats require international governance, not voluntary safeguards http://www.bmj.com/content/395/bmj-2026-101288.short?rss=1 Anthropic’s disclosure of scientists using, or attempting to use, the AI tool Claude for biological research that could support the development of bioweapons deserves neither dismissal nor exaggeration.1 The five reported cases do not establish malicious intent nor prove…
Showing the 12 most recent of 71 posts we hold for @British_Medical_Journal. 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.
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.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 50 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“The BMJ (British Medical Journal)” (@British_Medical_Journal), 14,107 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/British_Medical_Journal.
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.