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 16 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 why it has no browse page of its own yet.
Growth
14 measurements spanning 40 days, net +26. 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 1,982–2,017 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 21:21
2,013
+2
13 Sept 2026, 07:19
2,011
+6
9 Sept 2026, 10:16
2,005
+2
4 Sept 2026, 08:35
2,003
+4
1 Sept 2026, 00:37
1,999
+2
26 Aug 2026, 01:32
1,997
+5
23 Aug 2026, 11:58
1,992
+2
19 Aug 2026, 20:22
1,990
+3
16 Aug 2026, 21:23
1,987
-1
13 Aug 2026, 13:58
1,988
+1
10 Aug 2026, 23:07
1,987
+1
8 Aug 2026, 00:05
1,986
-1
7 Aug 2026, 15:02
1,987
no change
7 Aug 2026, 12:51
1,987
first reading
Engagement
13 posts held, back to 2 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 1 page of 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 13 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 01s
Average length
31s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
107 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 43.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
47
43.9%
🔥
28
26.2%
💯
12
11.2%
👏
8
7.48%
👍
7
6.54%
🤝
4
3.74%
🤡
1
0.935%
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 11 of the 13 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 107 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 2 August 2026 to 7 August 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.
Доброе утро, дорогие мои ❤️❤️
Сегодня в процессе завтрака мне пришла идея. Хочу разобрать свой завтрак по составу, потому что на бумаге он звучит скучно: яйца, хлеб, салат, чай. Пфффф. А по факту это совсем не то же самое, что яйца-хлеб-салат из соседнего кафе.
⭕️Скрембл на топлёном масле. Топлёное масло выдерживает высокую температуру без окисления. Плюс в нём нет лактозы и казеина, которые некоторыми людьми тяжел…
10 августа старт тренинга ОВОЩНАЯ ТУСОВКА. Что будет внутри и кому это точно нужно
Что будет в ТУСОВКЕ⬇️
2 дня теории - понятной и практикоприменимой. Правило тарелки, норма овощей и фруктов, техника безопасности для чувствительного кишечника, как есть фрукты без чувства вины
5 дней практики! (потому что теория о том, что нужно есть овощи, уже всем набила оскомину) Каждый день маленькое задание, которое встраивает…
Ребят, ну как так то. Вы что творите. А производители жуки какие. Мы вас предупредили. Ничё не знаем. Покупайте по цене крыла самолета и колите в подушку 😎 Вот такая фигня в целом творится с 80% процентами рынка БАД
Все чаще слышу от людей: "Я дала свои анализы ИИ. Я спросила у ИИ про лекарство"
ИИ это инструмент в умелых руках. И Википедия в неумелых
Будьте аккуратнее, когда доверяете свое здоровье искусственному интеллекту
В работе с клиентами в диетологическом сопровождении одной из целей всегда было добавить овощей в рацион. И действительно, каждые дополнительные 50 грамм, это уже победа, это шаг вперед. Но иногда картинка становилась такой, что в тарелке появлялся один дежурный огурец и все. Дальше прогресса не случалось и чуда не происходило
Я тоже раньше думала, что «овощи» - это одна большая категория, которая работает одинаково…
Как же ж я люблю вкусно поесть 😍
Кстати, давайте посчитаем, сколько источников пищевых волокон у меня было сегодня в один прием пищи
1 гранат
2 руккола
3 шпинат
4 монгольд
5 брокколи
6 перец чили
7 лимон
8 лук репчатый
9 лук красный
10 укроп
11 сельдерей
12 помидоры черри
13 грецкий орех
14 огурец (правда маринованный)
15 чеснок
Поэтому, когда вы говорите: "Я не люблю овощи, мне надоели пластиковые помидоры", я не…
❤10🔥5🤝4
Showing the 12 most recent of 13 posts we hold for @EndoDocKchmelnitskaya. 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.
Shares as published. 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 13 most recent posts we hold, published 2 August 2026 to 7 August 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.
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.
Первая Школа Биохакинга | Здоровье @pervayashkola · 23,940 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 17 September 2026
Ирина Баранова🇷🇺 Врач anti-age @baranovaia · 31,476 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 6 September 2026
Валентина Магеря @valentina_magerya · 33,208 Telegram ranks this channel #41 of 83 here — alongside 82 others — read 4 September 2026
УРОЛОГИЯ И МЕДИЦИНА - доктор Гадзиян. @urolog_mark · 27,443 Telegram ranks this channel #71 of 90 here — alongside 89 others — read 10 September 2026
Ласкавая Елена | Школа речи и ораторского искусства #1 @elenalaskavaya · 40,148 Telegram ranks this channel #71 of 92 here — alongside 91 others — read 31 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“ЭндоДокХмельницкая 👋” (@EndoDocKchmelnitskaya), 2,013 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/EndoDocKchmelnitskaya.
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.