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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
35 measurements spanning 58 days, net +294. 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 36,647–37,472 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
4 Oct 2026, 06:02
37,042
-162
25 Sept 2026, 13:37
37,204
-80
19 Sept 2026, 02:38
37,284
-1
16 Sept 2026, 20:40
37,285
-31
14 Sept 2026, 20:02
37,316
-20
13 Sept 2026, 07:15
37,336
-13
11 Sept 2026, 10:01
37,349
-28
8 Sept 2026, 16:39
37,377
+36
5 Sept 2026, 13:38
37,341
-1
3 Sept 2026, 15:01
37,342
+3
2 Sept 2026, 06:38
37,339
-1
1 Sept 2026, 10:03
37,340
+14
31 Aug 2026, 09:54
37,326
+3
30 Aug 2026, 10:13
37,323
-4
29 Aug 2026, 08:42
37,327
-4
28 Aug 2026, 06:34
37,331
+10
27 Aug 2026, 07:26
37,321
-3
26 Aug 2026, 10:32
37,324
+13
25 Aug 2026, 12:33
37,311
+22
24 Aug 2026, 09:47
37,289
first reading
Engagement
109 posts held, back to 26 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.06%
avg views ÷ 37,042 subscribers
Avg views / post
1,130
46 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
47
of 109 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 43 of 46 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 5 October 2026
Posts held
109 (26 July 2026 – 5 October 2026)
Views total
52,103
Reactions total
573
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Oct 2026, 04:46 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
≈2,550
Videos
≈437
Links
≈1,400
Lifetime counters from Telegram’s own channel header, read 6 October 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.
Video runtime
8m 31s
Average length
43s
Measured directly from 12 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
1,359 reactions across 98 posts, in 18 distinct kinds. The most used accounts for 44.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
603
44.4%
🔥
467
34.4%
👍
148
10.9%
😁
31
2.28%
🙏
25
1.84%
⚡
14
1.03%
👀
13
0.957%
custom 5219823103726597927
11
0.809%
😱
11
0.809%
🎉
10
0.736%
🤔
7
0.515%
💊
6
0.442%
👏
5
0.368%
🥰
3
0.221%
🌭
2
0.147%
👻
1
0.074%
🤣
1
0.074%
🦄
1
0.074%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 100 of the 109 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 1,359 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 109 most recent posts we hold, published 26 July 2026 to 5 October 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
5
of 107 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikolay_panasiuk. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 109 most recent posts we hold for this entry, published 26 July 2026 to 5 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
«День хочется прожить»: что изменилось у Светланы после минус 10 кг
-10 кг легко вынести на баннер. А как показать на фотографии, что человек наконец начал высыпаться и просыпается с желанием прожить наступивший день? 🤔
Именно об этом написала Светлана, студентка Академии GetFit.
До обучения её беспокоили лишний вес, выпадение волос, плохое самочувствие, нарушения сна и запоры. В отзыве о результатах она отметила …
🤔 Если бы здоровье человека можно было восстановить, начав всего с одного органа, в большинстве случаев это был бы желчный пузырь.
Потому что от него напрямую зависит слишком многое. Желчь отвечает за усвоение жиров.
А жиры — это работа надпочечников, щитовидной железы, печени, поджелудочной и нормальное усвоение жирорастворимых витаминов A, D, E, K.
В том числе того самого витамина D, который многие принимают год…
☕ Сахар в кофе не добавляли. А углеводы посчитать забыли?
«Мне на растительном и без сиропа» звучит как заказ человека, который следит за питанием.
Только миндальное, овсяное и кокосовое молоко бывают очень разными. У одного напитка в составе вода и растительная основа, у другого добавлены сахар, масло и ингредиенты для густоты.
Само слово «растительное» ещё ничего не говорит о количестве белка, сахара и калорий. …
☕ За растительное молоко доплатили. А что именно купили вместе с ним?
Заказываете капучино на миндальном и чувствуете, что сегодня сделали для здоровья что-то хорошее. Особенно если ещё и без сиропа.
Но если перевернуть упаковку, иногда обнаруживается неожиданное: белка совсем немного, среди ингредиентов есть рисовая мука, а углеводов больше, чем вы предполагали.
Вы заботитесь о своих близких?
Тогда вам точно нужно знать об этих анализах. Ведь именно они помогут обнаружить заболевания на ранних стадиях, когда лечение наиболее эффективно.
Итак, вот 7 анализов для людей старше 50 лет:
1️⃣ Общий анализ крови — для общего состояния здоровья.
2️⃣ Общий анализ мочи — для оценки состояния почек.
3️⃣ Биохимия крови — для выявления проблем с печенью, почками и сердцем.
4️⃣ ТТГ — дл…
Сегодня особенный день — День пожилого человека 🫂
Это напоминание о том, как важно заботиться не только о своих близких, но и о себе. С возрастом риск развития серьёзных заболеваний возрастает, однако современная медицина предоставляет возможность выявлять проблемы на ранних стадиях. И что самое важное, многие болезни поддаются лечению именно тогда, когда они обнаружены вовремя 💚
Заботясь о своём здоровье и о тех, …
Уберите с упаковки слово «полезный». Вы бы это купили? 🤔
Представьте два одинаковых пакета печенья. На одном написано «фитнес», на другом ничего не обещают. Сколько вы готовы доплатить за первое?
А если сначала прочитать состав?
Сегодня, 30 сентября в 12:00 мск, на втором эфире «Жизни без авокадо» Николай покажет, что искать за обещаниями на упаковках. В разбор попадут йогурты, соусы, батончики, сладости и другие …
Сегодня в 12:00 мск Николай разберёт 9 ошибок, за которые люди платят повторно.
Забор крови оплатили, результаты получили. Дальше начинается бесплатная часть: три часа в интернете, пять разных объяснений и корзина добавок, которую страшно оформлять.
Самое дорогое во всей этой истории — ошибиться с тем, что делать дальше.
Сегодня, 29 сентября в 12:00 мск, Николай открывает праздничные эфиры «Жизни без авокадо». Get…
🔔🔔🔔🔔🔔
Уже завтра — первый эфир с Николаем в честь 9-летия его академии 🎂
Начнём с анализов. Потому что сдать их — полдела. Дальше нужно понять: что означают результаты, на что обратить внимание и нужно ли вообще что-то корректировать.
За три дня Николай разберёт вопросы, которые волнуют многих: от «почему совсем нет сил?» до «что из добавок действительно стоит покупать?».
Вот что вас ждёт 👇
🦧 ДЕНЬ 1. АНАЛИЗЫ
— …
🎁 А подарки кто забирать будет? Николай подготовил для вас сразу три 😏
У GetFit девятилетие, и по этому поводу Николай собрал подарки для тех, кто уже потратился на полезные привычки, устал начинать заново и хочет наконец разобраться, как заботиться о себе в обычной жизни.
Хотите перестать покупать всё для ЗОЖ, чтобы через две недели опять забросить?
Забирайте видео «6 глупых и неочевидных ошибок на старте». Никол…
❤7🔥3😁3🤣1
Showing the 12 most recent of 109 posts we hold for @nikolay_panasiuk. 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 6 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.
Как вы думаете, что стоит сделать в первую очередь?
Поднять железо добавками11%
Разобраться с каждым показателем отдельно11%
Найти одну из ключевых причин, которая может связывать несколько проблем84%
Сдать ещё больше анализов и посмотреть, что найдётся2%
The shares total 108%, 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.
The shares total 165%, 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.
У вас бывает усталость, при которой не помогает даже длительный отдых?48%
Вы чувствуете одышку, особенно во время физических нагрузок?37%
Наблюдаете у себя мышечную слабость или боль, даже без физических нагрузок?37%
Вы замечаете снижение зрения, другие проблемы со здоровьем глаз?69%
У вас есть трудности с запоминанием информации?63%
Вы замечали снижение либидо за последние 3 месяца?48%
Ваша кожа стала выглядеть тусклой за последние 3 месяца?40%
The shares total 342%, 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.
Ф — ферма: там хотя бы понятно, у кого спросить32%
П — премиум: слишком дорого, чтобы быть плохим4%
Д — недорогой: платить за легенду не собираюсь15%
Никому: сначала устрою допом этикетке49%
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 109 most recent posts we hold, published 26 July 2026 to 5 October 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
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Панасюк Николай @getfit_nutrition · 70,801 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 20 August 2026
MOLODAY @molodayproduct · 148,658 Telegram ranks this channel #24 of 93 here — alongside 92 others — read 12 August 2026
Я себя НЕ знаю · Здоровье @Ya_Sebya_NE_Znayu · 23,508 Telegram ranks this channel #30 of 94 here — alongside 93 others — read 18 September 2026
Катя Медушкина | Похудение @katya_medushkina_fit · 40,006 Telegram ranks this channel #34 of 85 here — alongside 84 others — read 30 August 2026
Руслан Масгутов @rusmasgutov · 143,757 Telegram ranks this channel #34 of 90 here — alongside 89 others — read 13 August 2026
Канал Романа Гречина @rgrechin · 19,840 Telegram ranks this channel #35 of 81 here — alongside 80 others — read 29 September 2026
PRO питание и БАДы | Диляра Лебедева гастроэнтеролог @stomach_lebedeva · 63,403 Telegram ranks this channel #67 of 92 here — alongside 91 others — read 21 August 2026
Олеся Ревеко | Нутрициолог @olesya_reveko1 · 42,887 Telegram ranks this channel #78 of 88 here — alongside 87 others — read 28 August 2026
Тимофей Кармацкий @karmatsky_timofey · 187,179 Telegram ranks this channel #79 of 94 here — alongside 93 others — read 11 August 2026
Moloday | Снижение биологического возраста @recipes_prozdorovie · 23,743 Telegram ranks this channel #83 of 91 here — alongside 90 others — read 17 September 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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“Николай Панасюк | Нутрициология | GetFit” (@nikolay_panasiuk), 37,042 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/nikolay_panasiuk.
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.