Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 3 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 17 of the 21 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 10 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 4, the earliest publisher we hold is @MolodayHealth. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
33 measurements spanning 43 days, net -292. 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 14,830–15,210 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 08:59
14,874
-8
16 Sept 2026, 20:01
14,882
-5
15 Sept 2026, 00:40
14,887
-9
13 Sept 2026, 10:22
14,896
-6
11 Sept 2026, 17:15
14,902
-13
9 Sept 2026, 05:20
14,915
-25
5 Sept 2026, 21:19
14,940
-11
3 Sept 2026, 18:42
14,951
-12
2 Sept 2026, 10:04
14,963
-6
1 Sept 2026, 12:17
14,969
-11
31 Aug 2026, 12:44
14,980
-3
30 Aug 2026, 09:38
14,983
-11
29 Aug 2026, 11:48
14,994
-2
28 Aug 2026, 14:08
14,996
-20
27 Aug 2026, 11:15
15,016
-4
26 Aug 2026, 12:54
15,020
-10
25 Aug 2026, 10:58
15,030
-10
24 Aug 2026, 10:06
15,040
-13
22 Aug 2026, 16:54
15,053
-13
21 Aug 2026, 08:47
15,066
first reading
Engagement
107 posts held, back to 5 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.637%
avg views ÷ 14,874 subscribers
Avg views / post
94.8
28 posts measured
Reaction rate
1.80%
reactions ÷ views · ER floor
Posts in window
28
of 107 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 3 of 28 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 3 September 2026
Posts held
107 (5 August 2026 – 3 September 2026)
Views total
2,654
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:01 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
22m 14s
Average length
1m 04s
Measured directly from 21 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
14 reactions across 9 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
14
100.0%
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 9 of the 107 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 107 most recent posts we hold, published 5 August 2026 to 3 September 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.
Advertising
Ad load
66.4%
71 of 107 posts carry an ad marker
Regulatory tokens
71
posts carrying an erid · 64 distinct tokens
Median views · ads
91.0
over 71 measured posts
Median views · rest
77.0
over 36 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFHBoaaM
3
31 August 2026
2 September 2026
2W5zFHru98V
3
6 August 2026
10 August 2026
2W5zFG4XQxH
2
5 August 2026
8 August 2026
2W5zFGjUcNV
2
11 August 2026
12 August 2026
2W5zFGrj8mF
2
6 August 2026
9 August 2026
2W5zFFwoTPF
1
15 August 2026
15 August 2026
2W5zFG8z4g9
1
24 August 2026
24 August 2026
2W5zFG9KD3o
1
22 August 2026
22 August 2026
2W5zFGAkrLh
1
28 August 2026
28 August 2026
2W5zFGBu1bo
1
17 August 2026
17 August 2026
2W5zFGDWjVT
1
28 August 2026
28 August 2026
2W5zFGDqBqT
1
8 August 2026
8 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 52 further tokens are held for this entry and not listed here.
Measured over the 107 most recent posts we hold, published 5 August 2026 to 3 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
АНАЛИЗЫ ЕСТЬ, А ЧТО ОНИ ЗНАЧАТ — НЕПОНЯТНО? 🧐
Знакомо? Получаете результаты, видите десятки показателей, стрелочки вверх и вниз — и вопросов становится только больше.
Почему один показатель вышел за референс?
Насколько это важно?
Почему нельзя оценивать каждую цифру отдельно?
И как вообще увидеть за всеми этими значениями общую картину?
Сегодня в 15:00 разберёмся вместе на прямом эфире:
🔵 «Анализы есть, а что они…
АНАЛИЗЫ ЕСТЬ, А ЧТО ОНИ ЗНАЧАТ — НЕПОНЯТНО? 🧾
Почему один показатель вышел за референс? На какие значения действительно обратить внимание? И почему анализы важно смотреть не по отдельности?
Уже завтра, 3 сентября, в 15:00 разберём всё это на прямом эфире:
🌙 «Анализы есть, а что они значат — непонятно? Учимся читать их вместе с MOON»
Покажем на практике, как MOON помогает разобраться в результатах анализов простым…
5 СИГНАЛОВ, ЧТО РЕБЁНКУ СЕЙЧАС НУЖНА ДОПОЛНИТЕЛЬНАЯ ПОДДЕРЖКА 🎒
Начало школы и садика — резкая смена привычного режима: ранние подъёмы, занятия, кружки и больше нагрузки.
Ребёнок не всегда скажет, что ему тяжело. Иногда об этом говорят изменения в самочувствии и поведении. В карусели собрали 5 сигналов, на которые стоит обратить внимание 👆
Один такой признак ещё не говорит о дефиците витаминов. Но сейчас особенно …
КАК ПОНЯТЬ, КАКИХ ВИТАМИНОВ НЕ ХВАТАЕТ РЕБЁНКУ? 👀
Стал быстрее уставать, тяжело просыпается, хуже концентрируется, изменился аппетит — и первая мысль: «Наверное, не хватает железа». Или витамина D. Или магния.
Но один симптом редко указывает на один конкретный дефицит. Поэтому смотреть важно не на отдельную жалобу, а на картину целиком.
Что ест ребёнок? Как спит? Что изменилось в последнее время? Какие есть жалобы…
СКОЛЬКО ЕЩЁ ПОНЕДЕЛЬНИКОВ ВАМ НУЖНО, ЧТОБЫ НАКОНЕЦ ЗАНЯТЬСЯ СОБОЙ? 👀
Утром мы спросили, что вы чаще всего обещаете себе, но откладываете.
И если ваш ответ — «заняться здоровьем», возможно, причина проста: вы не знаете, с чего начать.
❓Сдать анализы? Какие?
❓Пересмотреть питание?
❓Разобраться со сном?
❓Что делать с усталостью, отёками или весом?
Когда вопросов слишком много, проще сказать: «Ладно, с понедельника».…
ТОП-3 ВЕЩИ, КОТОРЫЕ НЕЛЬЗЯ ЗАБЫТЬ ПРИ ПОДГОТОВКЕ РЕБЁНКА К ШКОЛЕ 🎒
Уже завтра 1 сентября. Форма готова, тетради куплены, рюкзак собран… Кажется, ничего не забыли?
Проверяем 👇
1️⃣ РЕЖИМ СНА
После летних каникул ранние подъёмы могут стать настоящим испытанием. Постарайтесь постепенно вернуть привычное время сна — ребёнку будет легче включиться в ритм.
2️⃣ ПЕРЕКУС И ВОДА
Положите в рюкзак бутылку воды и продумайте…
😩Нет сил даже после выходных?
А утром уже хочется обратно в кровать? Появились отёки? Вес начал меняться? Сон больше не восстанавливает? Волосы выпадают сильнее обычного?
ЧТО ДЕЛАТЬ?🫠
Мы умеем находить этому десятки объяснений: стресс, работа, погода, возраст…
И месяцами откладывать вопрос: а почему на самом деле я так себя чувствую?
🔥 Уже завтра на прямом эфире разберём:
«Организм уже подаёт сигналы. 7 симптом…
✴️Подборка постов от moloday, которые вам понравились больше всего за прошедшую неделю!
Жмите на синий текст и переходите к нужному посту:
1. ЖКТ – основа здоровья
2. Японские привычки, которые помогают выглядеть моложе
3. Что будет, если принимать коллаген регулярно?
4. Правда, что красное вино полезно для сердца?
5. Фильмы, которые снижают стресс
6. Как грамотно использовать MOON?
✴️ Эфиры на актуальные темы, кот…
🤫 Правдивые факты о коллагене, которые нужно знать каждому
1️⃣ Синтез коллагена в организме начинает снижаться уже после 25 лет
В среднем на 1–1,5% в год. К 45–50 годам его становится на 25–30% меньше.
2️⃣ Женский организм теряет коллаген быстрее, чем мужской
Особенно в периоды гормональных изменений: беременность, грудное вскармливание, пременопауза и менопауза.
3️⃣ Вы можете не увидеть результат в первый месяц –…
🌛 Ночь распродаж подходит к концу… Друзья, если вы из ранних пташек и уже не спите, поспешите за выгодными заказами – только до 10:00 по мск в магазине moloday минус 20% на всё!
Лидеры вчерашней ночи:
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💬Мы в МА…
Showing the 12 most recent of 107 posts we hold for @pro_nytriciolog. 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 most recent of 13 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.
Если вы нутрициолог и эксперт, вы хотели бы освоить инструмент, который поможет облегчить вашу работу и брать больше клиентов без потери качества услуг?
Не думал(а) об этом0%
Shares as published, totalling 0%. 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 107 most recent posts we hold, published 5 August 2026 to 3 September 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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Moloday | Снижение биологического возраста @recipes_prozdorovie · 23,849 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 17 September 2026
MOLODAY|здоровье в любом возрасте @MolodayHealth · 28,976 Telegram ranks this channel #3 of 89 here — alongside 88 others — read 17 September 2026
MOLODAY @molodayproduct · 149,552 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 12 August 2026
Николай Панасюк | Нутрициология | GetFit @nikolay_panasiuk · 37,284 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 1 September 2026
Панасюк Николай @getfit_nutrition · 70,835 Telegram ranks this channel #12 of 96 here — alongside 95 others — read 20 August 2026
Ешьте Головой: стань стройной и энергичной с нами 👑 @doctorayupovat · 30,949 Telegram ranks this channel #14 of 74 here — alongside 73 others — read 6 September 2026
Академия Нутрициологии @nsa_academy · 63,573 Telegram ranks this channel #14 of 97 here — alongside 96 others — read 21 August 2026
Олеся Ревеко | Нутрициолог @olesya_reveko1 · 43,041 Telegram ranks this channel #23 of 88 here — alongside 87 others — read 28 August 2026
МАН Нутрициология @man_academyofnutrition · 33,048 Telegram ranks this channel #25 of 94 here — alongside 93 others — read 4 September 2026
Клуб нутрициологов @miin_ankz · 50,066 Telegram ranks this channel #26 of 97 here — alongside 96 others — read 25 August 2026
Здоровье с Екатериной Новиковой @katerina_dietolog · 50,481 Telegram ranks this channel #28 of 94 here — alongside 93 others — read 25 August 2026
Худеем с Сергеем Обложко @hudeemsoblozhko · 51,477 Telegram ranks this channel #28 of 94 here — alongside 93 others — read 25 August 2026
Рецепты от Татьяны Метельской @tanya_yourfit_recipes · 46,136 Telegram ranks this channel #29 of 64 here — alongside 63 others — read 27 August 2026
Первая Школа Биохакинга | Здоровье @pervayashkola · 23,940 Telegram ranks this channel #31 of 90 here — alongside 89 others — read 17 September 2026
PRO питание и БАДы | Диляра Лебедева гастроэнтеролог @stomach_lebedeva · 63,539 Telegram ranks this channel #32 of 92 here — alongside 91 others — read 21 August 2026
Лилия Стародубцева | Нутрициолог @lilystarfit_blog · 24,221 Telegram ranks this channel #38 of 79 here — alongside 78 others — read 16 September 2026
PRO гормоны и БАДы | Диляра Лебедева эндокринолог @lebedeva_dilyara · 135,380 Telegram ranks this channel #54 of 90 here — alongside 89 others — read 13 August 2026
Код молодости| Софи Шайн @facefitnessonline · 106,410 Telegram ranks this channel #64 of 93 here — alongside 92 others — read 15 August 2026
Эндокринолог ❤️ Ольга Павлова 💊 Диабет @dia_dietolog_olga_pavlova · 59,247 Telegram ranks this channel #67 of 91 here — alongside 90 others — read 22 August 2026
Гастроэнтеролог Ольга Помойнецкая @olga_pomoynetskaya · 252,547 Telegram ranks this channel #70 of 92 here — alongside 91 others — read 10 August 2026
Йога для гормонов @yoga_molodosti · 76,142 Telegram ranks this channel #71 of 90 here — alongside 89 others — read 19 August 2026
This channel appears in 21 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.
“Moloday | Активное долголетие” (@pro_nytriciolog), 14,874 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/pro_nytriciolog.
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.