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 why it has no browse page of its own yet.
Growth
14 measurements spanning 43 days, net -75. 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 8,302–8,404 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 13:19
8,314
-11
15 Sept 2026, 03:21
8,325
-8
11 Sept 2026, 10:38
8,333
-8
6 Sept 2026, 10:21
8,341
-2
1 Sept 2026, 23:15
8,343
-6
30 Aug 2026, 01:43
8,349
-4
27 Aug 2026, 03:36
8,353
-8
24 Aug 2026, 02:33
8,361
-10
20 Aug 2026, 04:39
8,371
-1
17 Aug 2026, 14:07
8,372
-6
14 Aug 2026, 01:15
8,378
-14
10 Aug 2026, 09:08
8,392
+2
7 Aug 2026, 14:35
8,390
+1
7 Aug 2026, 11:01
8,389
first reading
Engagement
69 posts held, back to 4 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 24 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.50%
avg views ÷ 8,314 subscribers
Avg views / post
457
10 posts measured
Reaction rate
3.83%
reactions ÷ views · ER floor
Posts in window
10
of 69 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. It is computed over the 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
69 (4 August 2026 – 28 August 2026)
Views total
4,573
Reactions total
137
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 19:04 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
Video runtime
10m 06s
Average length
34s
Measured directly from 18 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
1,580 reactions across 64 posts, in 11 distinct kinds. The most used accounts for 45.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
726
45.9%
🔥
691
43.7%
👍
70
4.43%
😁
57
3.61%
💯
9
0.57%
😢
8
0.506%
🥰
8
0.506%
🤯
7
0.443%
👌
2
0.127%
😍
1
0.063%
🤝
1
0.063%
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 66 of the 69 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 1,580 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 4 August 2026 to 28 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.
3 СЕКРЕТА ИДЕАЛЬНОГО БУЛЬОНА
Скоро мы с вами будем варить его литрами! И не только для супа) Поэтому запоминайте правила:
🍲 Не кипятить.
Сильное кипение разбивает капли жира и частицы белка в мельчайшую эмульсию. Прозрачности от бульона не ждите.
🍲 Лить холодную воду.
Медленный нагрев в холодной воде заставит ингредиенты отдать максимум соков, коллагена и аромата в сам бульон.
🍲 Солить ближе к концу.
При варке в …
В ЧЁМ ВАША БАБУЛЯ БЫЛА ПРАВА
Признаю, не все советы людей старой закалки можно списывать в утиль. Кое-что полезное можно и из них выудить
👉 Первая серия этого сериала была здесь. В ней рассказал, в чём ваша бабушка была не права
ПРИЗНАКИ ЭМОЦИОНАЛЬНОГО ГОЛОДА. 🔻ПРОВЕРЬТЕ СЕБЯ🔻
ЭМОЦИОНАЛЬНЫЙ ГОЛОД — самый коварный враг стройности, лёгкости и нормального самочувствия. Именно он съедает вашу энергию, портит кожу и разгоняет отёки.
Итак, что мы про него знаем:
❗️Возникает внезапно.
Физический голод нарастает постепенно. Эмоциональный появляется резко и требует немедленного удовлетворения.
❗️Требует конкретной еды.
Чаще всего сладкое, жирное …
Вы весь день были заняты и не успели нормально пообедать.
В 17:00 начинаете чувствовать слабость, живот урчит, и, когда садитесь есть, понимаете, что вам одинаково подходят суп, салат или горячее.
Что это?
Настоящий голод73%
Эмоциональный голод от усталости23%
Пищевая привычка4%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Вы собирались просто выпить кофе.
Но официант говорит: «Сегодня у нас потрясающий чизкейк».
Вы смотрите на него и внезапно понимаете, что безумно хотите чизкейк. Хотя до этого спокойно жили без него. Что сработало?
Голод2%
Внешний стимул92%
Привычка6%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
ИГРА «ЭТО ГОЛОД ИЛИ…?»
Девчонки, а давайте проверим, насколько хорошо вы умеете отличать настоящий голод от привычки, скуки и желания получить удовольствие.
👇👇👇
А ВОТ С ЭТИМ УЖЕ СЛОЖНЕЕ…
Как мы с вами уже выяснили в этом посте, есть после 18:00 можно.
Толстеют не от времени на часах, а от избытка калорий.
+ Лишний вес чаще есть у тех, кто мало двигается, мало хочет что-то делать, покупает всё самое простое и быстрое…
И когда вы привыкли получать от еды быстрый дофамин, просто взять себя в руки не самое простое дело.
Особенно после лета: кафешки, десерты, круассаны, улич…
В ЭТОМ ВАША БАБУЛЯ ОШИБАЛАСЬ
Извините, девчонки, но научный мир сделал широкий шаг вперёд. И жить по старым убеждениям как минимум глупо….
К тому же многие из них усложняют нам жизнь.
А нам такое надо? Нам такое не надо!
У меня есть ещё одно видео, где рассказываю о том, в чём наши бабули всё же БЫЛИ ПРАВЫ!
Накидайте 🔥, если хотите узнать)
Может, вы тоже построите на них свою бизнес-империю?))
Девчонки, рекомендую лёгкий фильм на вечер!
📹 Американский огурчик (2020)
Добрый фильм с долей юмора о ценности семьи, столкновении двух поколений и попытке найти своё место в совершенно новом мире.
И да, законсервируются там не только овощи😉
МОИ ТАРЕЛКИ И 5 ГЛАВНЫХ ПРАВИЛ ПО НИМ
Порция вдохновения вам, девчонки!
С такими тарелками потом и поджирать ничего не хочется, потому что уже насытился и разными типами вкусов, и текстурами🙌🏻
И вот 5 главных правил:
⭕️Добротная порция белка
⭕️Сложные углеводы (разные крупы, картофель — всё можно!)
⭕️Овощей должно быть много и они должны быть разными (сочетание свежих и ферментированных — рай для нашего кишечни…
❤13🔥1
Showing the 12 most recent of 69 posts we hold for @leonov_food. 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 5 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.
Вы весь день были заняты и не успели нормально пообедать.
В 17:00 начинаете чувствовать слабость, живот урчит, и, когда садитесь есть, понимаете, что вам одинаково подходят суп, салат или горячее.
Что это?
Настоящий голод73%
Эмоциональный голод от усталости23%
Пищевая привычка4%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Вы собирались просто выпить кофе.
Но официант говорит: «Сегодня у нас потрясающий чизкейк».
Вы смотрите на него и внезапно понимаете, что безумно хотите чизкейк. Хотя до этого спокойно жили без него. Что сработало?
Голод2%
Внешний стимул92%
Привычка6%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
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 69 most recent posts we hold, published 4 August 2026 to 28 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.
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.
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.
Leonov chef @leonovchef · 51,482 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 25 August 2026
Адоньева про похудение @adonevabody · 47,600 Telegram ranks this channel #7 of 73 here — alongside 72 others — read 30 August 2026
MOLODAY @molodayproduct · 149,552 Telegram ranks this channel #12 of 93 here — alongside 92 others — read 12 August 2026
Гастроэнтеролог Ольга Помойнецкая @olga_pomoynetskaya · 252,547 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 10 August 2026
Разум Тело и Еда @razumteloeda · 67,979 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 20 August 2026
Moloday | Снижение биологического возраста @recipes_prozdorovie · 23,802 Telegram ranks this channel #47 of 91 here — alongside 90 others — read 17 September 2026
Академия Нутрициологии @nsa_academy · 63,486 Telegram ranks this channel #56 of 97 here — alongside 96 others — read 21 August 2026
Ирина Шиманская Holistica @tibetdoc · 79,570 Telegram ranks this channel #70 of 96 here — alongside 95 others — read 18 August 2026
Ольга Дробышева - здоровый фитнес @sensfitness · 25,102 Telegram ranks this channel #81 of 96 here — alongside 95 others — read 14 September 2026
Панасюк Николай @getfit_nutrition · 70,835 Telegram ranks this channel #85 of 96 here — alongside 95 others — read 20 August 2026
This channel appears in 10 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“ЗОЖИГАЙ С ЛЕОНОВЫМ” (@leonov_food), 8,314 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/leonov_food.
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.