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 99% 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
26 measurements spanning 97 days, net -339. 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 8,207–8,648 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
11 Nov 2026, 08:05
8,258
-3
7 Nov 2026, 09:24
8,261
-6
4 Nov 2026, 15:56
8,267
-16
2 Nov 2026, 01:48
8,283
-16
30 Oct 2026, 09:55
8,299
-17
27 Oct 2026, 14:59
8,316
-7
24 Oct 2026, 15:57
8,323
-13
18 Oct 2026, 08:26
8,336
-12
15 Oct 2026, 12:37
8,348
-7
12 Oct 2026, 03:56
8,355
-25
5 Oct 2026, 03:57
8,380
-21
26 Sept 2026, 10:41
8,401
-35
17 Sept 2026, 17:18
8,436
-6
13 Sept 2026, 07:02
8,442
-6
9 Sept 2026, 17:36
8,448
-25
4 Sept 2026, 16:00
8,473
-30
31 Aug 2026, 19:55
8,503
-10
28 Aug 2026, 21:44
8,513
-11
25 Aug 2026, 19:42
8,524
-5
23 Aug 2026, 06:14
8,529
first reading
Engagement
37 posts held, back to 17 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.93%
avg views ÷ 8,258 subscribers
Avg views / post
820
13 posts measured
Reaction rate
0.976%
reactions ÷ views · ER floor
Posts in window
13
of 37 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
Window
Rolling 30 days · latest post in window 13 November 2026
Posts held
37 (17 July 2026 – 13 November 2026)
Views total
10,656
Reactions total
104
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 02:38 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
960
Videos
13
Links
531
Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
352 reactions across 34 posts, in 5 distinct kinds. The most used accounts for 61.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
215
61.1%
🔥
104
29.5%
👍
31
8.81%
😁
1
0.284%
😱
1
0.284%
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 34 of the 37 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 352 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 17 July 2026 to 13 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: 2 of 13 posts held from the last 30 days (15.4%) 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).
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Showing the 12 most recent of 37 posts we hold for @pitanie_ru. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
В каком статусе вы сейчас работаете как нутрициолог или диетолог?
Самозанятость50%
ИП7%
В клинике или в больнице3%
В компании4%
Совмещаю несколько форматов16%
Пока не веду практику29%
The shares total 109%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 37 most recent posts we hold, published 17 July 2026 to 13 November 2026. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@pitanie_ru named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@vd_hochy_mogy_delau named in 1 post, 7 November 2026 – 7 November 2026
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.
MarysStories @Marys_stories · 31,195 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 5 September 2026
Бородатый не пробовал | доктор Бурлаков @doc_burlakov · 34,201 Telegram ranks this channel #13 of 94 here — alongside 93 others — read 3 September 2026
Юлия Сидорова |Детский эндокринолог| @sidorovasay · 26,544 Telegram ranks this channel #15 of 93 here — alongside 92 others — read 11 September 2026
Смотровая Военврача @dr_voenvrach · 45,367 Telegram ranks this channel #16 of 98 here — alongside 97 others — read 28 August 2026
Доктор Комиссарова ☀️ @doctor_komissarova · 96,390 Telegram ranks this channel #17 of 88 here — alongside 87 others — read 16 August 2026
Про питание с Метальниковым @metalnikov_body · 23,793 Telegram ranks this channel #20 of 69 here — alongside 68 others — read 16 September 2026
Страшная химия @chemistrybyolga · 33,686 Telegram ranks this channel #26 of 91 here — alongside 90 others — read 4 September 2026
ImmunoBee @immunobee1 · 103,910 Telegram ranks this channel #26 of 95 here — alongside 94 others — read 16 August 2026
Павел Баранов. Эндокринология/диетология. @pavelbaranov_md · 31,066 Telegram ranks this channel #29 of 96 here — alongside 95 others — read 6 September 2026
Газовый гигант (ibs.doc)🪐 @ibs_doc · 21,762 Telegram ranks this channel #34 of 100 here — alongside 99 others — read 23 September 2026
Занимательная эндокринология @funwithmedicine · 22,776 Telegram ranks this channel #34 of 98 here — alongside 97 others — read 20 September 2026
Гастроэнтеролог Саша @gastrosasha95 · 40,861 Telegram ranks this channel #34 of 94 here — alongside 93 others — read 30 August 2026
dnevnikdoctora @dnevnikdoctora · 45,187 Telegram ranks this channel #34 of 98 here — alongside 97 others — read 27 August 2026
Гастроэнтеролог Лопатина М.В. @gastrogram · 36,876 Telegram ranks this channel #37 of 99 here — alongside 98 others — read 1 September 2026
Пей таблетки! | MedIQLab @mediq · 65,524 Telegram ranks this channel #37 of 93 here — alongside 92 others — read 21 August 2026
ДОКТОР ХАН @doctorkhanstanislav · 57,488 Telegram ranks this channel #38 of 97 here — alongside 96 others — read 23 August 2026
doctor_annamama @doctor_annamama · 82,218 Telegram ranks this channel #47 of 90 here — alongside 89 others — read 18 August 2026
Кардиолог Новикова Диана Сергеевна @cardiolognovikova · 24,339 Telegram ranks this channel #48 of 96 here — alongside 95 others — read 15 September 2026
Docma.ru - ДОКАЗАТЕЛЬНАЯ МЕДИЦИНА @Docma_ru · 41,705 Telegram ranks this channel #49 of 98 here — alongside 97 others — read 29 August 2026
Эффект Бочковой @OlgaBochkovaAcademy · 19,262 Telegram ranks this channel #58 of 92 here — alongside 91 others — read 29 September 2026
Аллергология для чайников с Ольгой Жоголевой @allergo_doc · 39,380 Telegram ranks this channel #70 of 96 here — alongside 95 others — read 31 August 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич @ag_kharitonov · 58,822 Telegram ranks this channel #84 of 99 here — alongside 98 others — read 22 August 2026
This channel appears in 22 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“НАУКА И ПИТАНИЕ” (@pitanie_ru), 8,258 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/pitanie_ru.
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.