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Channel

Dr. Belaveshkin

@beloveshkin

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

9,202subscribers

-300 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001194385771
TypeChannel
Username@beloveshkin
DescriptionAndrew Belaveshkin MD PhD preventive medicine belaveshkin.com Making people, things, spaces and the world healthier 📖Books: The will to live, The right food at the right time
Created29 January 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/beloveshkin

Topic

Science — 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 36% 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.

Growth

9,2029,5029,3526 August 2026 — 9,502 subscribers6 August 2026 — 9,502 subscribers9 August 2026 — 9,490 subscribers13 August 2026 — 9,477 subscribers16 August 2026 — 9,459 subscribers19 August 2026 — 9,447 subscribers23 August 2026 — 9,439 subscribers26 August 2026 — 9,431 subscribers29 August 2026 — 9,425 subscribers1 September 2026 — 9,420 subscribers6 September 2026 — 9,410 subscribers11 September 2026 — 9,390 subscribers14 September 2026 — 9,378 subscribers19 September 2026 — 9,368 subscribers29 September 2026 — 9,338 subscribers6 October 2026 — 9,327 subscribers13 October 2026 — 9,312 subscribers15 October 2026 — 9,289 subscribers18 October 2026 — 9,271 subscribers22 October 2026 — 9,251 subscribers25 October 2026 — 9,246 subscribers28 October 2026 — 9,235 subscribers31 October 2026 — 9,227 subscribers3 November 2026 — 9,213 subscribers7 November 2026 — 9,216 subscribers10 November 2026 — 9,202 subscribers6 August 202610 November 2026
26 measurements spanning 96 days, net -300. 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 9,157–9,547 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
10 Nov 2026, 09:309,202-14
7 Nov 2026, 01:169,216+3
3 Nov 2026, 17:519,213-14
31 Oct 2026, 21:059,227-8
28 Oct 2026, 17:509,235-11
25 Oct 2026, 10:069,246-5
22 Oct 2026, 15:099,251-20
18 Oct 2026, 23:359,271-18
15 Oct 2026, 22:349,289-23
13 Oct 2026, 05:009,312-15
6 Oct 2026, 16:399,327-11
29 Sept 2026, 09:579,338-30
19 Sept 2026, 12:419,368-10
14 Sept 2026, 20:209,378-12
11 Sept 2026, 10:379,390-20
6 Sept 2026, 17:189,410-10
1 Sept 2026, 19:239,420-5
29 Aug 2026, 14:129,425-6
26 Aug 2026, 11:069,431-8
23 Aug 2026, 08:479,439first reading

Engagement

53 posts held, back to 5 July 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 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.48%
avg views ÷ 9,202 subscribers
Avg views / post
872
15 posts measured
Reaction rate
2.63%
reactions ÷ views · ER floor
Posts in window
15
of 53 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held53 (5 July 2026 – 12 November 2026)
Views total13,086
Reactions total344
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 12:56 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.

What this channel posts

Photos
≈1,090
Videos
≈33
Links
≈705

Lifetime counters from Telegram’s own channel header, read 14 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.

Reaction mix

1,156 reactions across 53 posts, in 17 distinct kinds. The most used accounts for 35.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤41335.7%
👍30026.0%
😭1119.60%
💔786.75%
❤‍🔥655.62%
😁463.98%
🌚393.37%
💯353.03%
👀242.08%
✍151.30%
😐100.865%
👏80.692%
🤔50.433%
🤩30.26%
🥱20.173%
🤨10.087%
🫡10.087%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 53 of the 53 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,156 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 5 July 2026 to 12 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 15 posts held from the last 30 days (6.67%) 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).

12 Nov 2026, 11:05 UTC320 views12 reactionsread 14 November 2026
Photo

Meta-sarcasm: choosing a prison uniform for Miss Belarus. Belarus has Europe's highest incarceration rate — roughly 3 times the European average and 2.5 times the global average

🌚6💔4❤2

Signed Andrew Belaveshkin

12 Nov 2026, 10:56 UTC333 views2 reactionsread 14 November 2026
Photo

New World Classics: From Manhattan to Buenos Aires Following acclaimed, sold-out performances across major European stages, the international concert program "New World Classics" arrives in Limassol for an exclusive, highly anticipated Cyprus Special Edition -- two concerts in Cornaro Art Center -- 13th and 14th of November. For this unique Cyprus appearance, award-winning pianist Kiryl Keduk — hailed by critics as…

👍2

Signed Andrew Belaveshkin

12 Nov 2026, 08:25 UTC360 views6 reactionsread 14 November 2026

One of the most banal pseudo-rational misconceptions is that people’s own well-being is the key to peaceful coexistence. Yet research shows the opposite: people are willing to accept serious material and other losses, both personally and collectively, if it means punishing their real or imagined enemies. This, rather than the pursuit of well-being, is often the deeper driving force of human nature.

👍5✍1

Signed Andrew Belaveshkin

10 Nov 2026, 13:04 UTC608 views104 reactionsread 14 November 2026

I passed my Greek language exam! Now I have the complete set of a 19th-century classical grammar school education: exams passed in both Latin and Greek. 😁 P.S. And, among other things, this is a scientifically interesting way to keep the brain younger and potentially delay dementia. The average age of dementia onset was found to be: 5 years later in bilinguals. 6.4 years later in trilinguals. 9.5 years later in peop…

❤‍🔥58👍28❤18

Signed Andrew Belaveshkin

10 Nov 2026, 08:44 UTC601 views6 reactionsread 14 November 2026

https://belaveshkin.substack.com/p/shifting-your-focus-to-overcome-intention

👍6

Signed Andrew Belaveshkin

4 Nov 2026, 08:44 UTC≈1,390 views16 reactionsread 14 November 2026
Photo

We need to think terms of protein density

👍12❤4

Signed Andrew Belaveshkin

2 Nov 2026, 17:39 UTC≈1,010 views10 reactionsread 14 November 2026
Photo

Red flags:

😐8❤2

Signed Andrew Belaveshkin

2 Nov 2026, 11:30 UTC983 views30 reactionsread 14 November 2026
Photo

Photo, posted without a caption

👍26🤩3❤1

Signed Andrew Belaveshkin

2 Nov 2026, 11:30 UTC909 views26 reactionsread 14 November 2026

Movement = thinking. Throughout evolution, the muscular and nervous systems developed closely together, with much of the nervous tissue dedicated to serving the muscles. That’s why it’s no coincidence that as much as 70% of the brain is somehow involved in movement, and at least 75% of dopamine neurons regulate movement. Movement, therefore, is not just an optional or separate function — it is a fundamental way the …

❤25👍1

Signed Andrew Belaveshkin

31 Oct 2026, 18:56 UTC807 views31 reactionsread 14 November 2026
Photo

Medice, cura te ipsum "Physician, heal thyself"

😁17💯12👍2

Signed Andrew Belaveshkin

20 Oct 2026, 11:38 UTC≈1,160 views2 reactionsread 14 November 2026
Photo

Photo, posted without a caption

👍2

Signed Andrew Belaveshkin

20 Oct 2026, 11:38 UTC≈1,090 views18 reactionsread 14 November 2026

Walking past the beautiful Bank of England building one day, I was reminded of a curious principle named after Charles Goodhart, a former advisor to the Bank of England. In 1975, he formulated a rule now known as Goodhart's Law: "Any observed statistical regularity tends to break down once pressure is applied to it for control purposes." In essence, when we set a target to achieve a certain metric, the old patterns t…

❤14👍4

Signed Andrew Belaveshkin

Showing the 12 most recent of 53 posts we hold for @beloveshkin. 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.

Forward network

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 3 registered channels — 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.

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.

Appears in Telegram’s recommendations for other channels

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.

Daily Reminder
@justakindreminder · 36,347
Telegram ranks this channel #45 of 98 here — alongside 97 others — read 1 September 2026
Надя Андреева - нутрициолог об энергии
@shkolasvetlyachkov · 45,784
Telegram ranks this channel #70 of 92 here — alongside 91 others — read 27 August 2026
Путь долгожителя
@AgeManagment · 21,294
Telegram ranks this channel #81 of 92 here — alongside 91 others — read 24 September 2026
Кулинарная медицина. Рецепты здоровья Кати Янг
@katya_young · 33,075
Telegram ranks this channel #81 of 90 here — alongside 89 others — read 4 September 2026
Юсипова - системная медицина!
@yusipovacom · 54,567
Telegram ranks this channel #86 of 89 here — alongside 88 others — read 24 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Dr. Belaveshkin” (@beloveshkin), 9,202 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/beloveshkin.

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.