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Channel

Велнес медиа by MOLODAY🧬

@MolodayHealth

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

27,740subscribers

-1,758 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001839754644
TypeChannel
Username@MolodayHealth
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/MolodayHealth

Topic

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 the other topics.

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)
Posted firstThenOverlapGap
@MolodayHealth/6237 · this entry5 Aug 2026, 11:41 UTC@recipes_prozdorovie/59515 Aug 2026, 11:42 UTC1.00under a minute
@MolodayHealth/6246 · this entry6 Aug 2026, 08:13 UTC@recipes_prozdorovie/59606 Aug 2026, 08:18 UTC1.005 minutes
@MolodayHealth/6248 · this entry6 Aug 2026, 11:38 UTC@recipes_prozdorovie/59626 Aug 2026, 11:44 UTC1.007 minutes
@MolodayHealth/6255 · this entry6 Aug 2026, 14:48 UTC@recipes_prozdorovie/59696 Aug 2026, 14:50 UTC1.002 minutes
@MolodayHealth/6256 · this entry6 Aug 2026, 17:06 UTC@recipes_prozdorovie/59706 Aug 2026, 17:10 UTC1.005 minutes
@MolodayHealth/6258 · this entry7 Aug 2026, 06:27 UTC@recipes_prozdorovie/59727 Aug 2026, 06:31 UTC1.005 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@recipes_prozdorovie10 (8/8 hand-verifiable sample passed)1.005 minutesthis entry (10–0)
@pro_nytriciolog10 (8/8 hand-verifiable sample passed)1.005 minutesthis entry (10–0)
@molodayproduct10 (8/8 hand-verifiable sample passed)1.005 minutesthis entry (10–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“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 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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.

Growth

27,74029,49828,6197 August 2026 — 29,498 subscribers7 August 2026 — 29,497 subscribers8 August 2026 — 29,481 subscribers9 August 2026 — 29,461 subscribers10 August 2026 — 29,450 subscribers11 August 2026 — 29,440 subscribers12 August 2026 — 29,429 subscribers13 August 2026 — 29,415 subscribers15 August 2026 — 29,399 subscribers16 August 2026 — 29,373 subscribers17 August 2026 — 29,360 subscribers18 August 2026 — 29,348 subscribers19 August 2026 — 29,334 subscribers20 August 2026 — 29,320 subscribers21 August 2026 — 29,303 subscribers23 August 2026 — 29,269 subscribers24 August 2026 — 29,251 subscribers25 August 2026 — 29,244 subscribers26 August 2026 — 29,234 subscribers27 August 2026 — 29,225 subscribers28 August 2026 — 29,208 subscribers30 August 2026 — 29,190 subscribers30 August 2026 — 29,176 subscribers31 August 2026 — 29,167 subscribers1 September 2026 — 29,154 subscribers3 September 2026 — 29,144 subscribers4 September 2026 — 29,116 subscribers7 September 2026 — 29,076 subscribers10 September 2026 — 29,039 subscribers12 September 2026 — 29,022 subscribers14 September 2026 — 29,013 subscribers16 September 2026 — 29,000 subscribers18 September 2026 — 28,976 subscribers30 September 2026 — 28,519 subscribers5 October 2026 — 28,358 subscribers10 October 2026 — 28,252 subscribers13 October 2026 — 28,179 subscribers15 October 2026 — 28,158 subscribers15 October 2026 — 28,136 subscribers17 October 2026 — 28,118 subscribers18 October 2026 — 28,101 subscribers18 October 2026 — 28,082 subscribers19 October 2026 — 28,058 subscribers20 October 2026 — 28,035 subscribers22 October 2026 — 28,009 subscribers23 October 2026 — 27,985 subscribers23 October 2026 — 27,961 subscribers24 October 2026 — 27,948 subscribers25 October 2026 — 27,937 subscribers26 October 2026 — 27,928 subscribers27 October 2026 — 27,904 subscribers28 October 2026 — 27,882 subscribers29 October 2026 — 27,854 subscribers30 October 2026 — 27,835 subscribers31 October 2026 — 27,823 subscribers1 November 2026 — 27,810 subscribers2 November 2026 — 27,800 subscribers3 November 2026 — 27,782 subscribers4 November 2026 — 27,764 subscribers5 November 2026 — 27,740 subscribers7 August 20265 November 2026
60 measurements spanning 90 days, net -1,758. 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 27,476–29,762 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
5 Nov 2026, 15:1527,740-24
4 Nov 2026, 15:0827,764-18
3 Nov 2026, 17:3927,782-18
2 Nov 2026, 16:4527,800-10
1 Nov 2026, 19:4927,810-13
31 Oct 2026, 22:1627,823-12
30 Oct 2026, 21:1127,835-19
29 Oct 2026, 21:4627,854-28
28 Oct 2026, 23:1527,882-22
27 Oct 2026, 23:4127,904-24
26 Oct 2026, 20:4627,928-9
25 Oct 2026, 18:5127,937-11
24 Oct 2026, 22:0827,948-13
23 Oct 2026, 23:4627,961-24
23 Oct 2026, 02:5827,985-24
22 Oct 2026, 01:5028,009-26
20 Oct 2026, 18:3028,035-23
19 Oct 2026, 19:3728,058-24
18 Oct 2026, 22:3528,082-19
18 Oct 2026, 01:5728,101first reading

Engagement

255 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 146 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.841%
avg views ÷ 27,740 subscribers
Avg views / post
233
78 posts measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
78
of 255 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 73 of 78 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held255 (5 August 2026 – 5 November 2026)
Views total18,197
Reactions total227
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 14:30 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
27m 30s
Average length
1m 09s

Measured directly from 24 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

684 reactions across 210 posts, in 9 distinct kinds. The most used accounts for 65.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤44965.6%
🔥11917.4%
👍527.60%
😁243.51%
💊213.07%
🥰91.32%
💯71.02%
🤔20.292%
👏10.146%

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 211 of the 255 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 684 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 255 most recent posts we hold, published 5 August 2026 to 5 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.

Advertising

Ad load
77.6%
198 of 255 posts carry an ad marker
Regulatory tokens
198
posts carrying an erid · 146 distinct tokens
Median views · ads
249
over 198 measured posts
Median views · rest
224
over 57 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
eridPostsFirst seenLast seen
2W5zFGDWjVT528 August 202622 October 2026
2W5zFGXJasb527 August 202621 October 2026
2W5zFH8odQV510 October 202624 October 2026
2W5zFJDD5Ah524 September 202631 October 2026
2W5zFGNLxCZ412 August 20267 October 2026
2W5zFHBoaaM431 August 20266 October 2026
2W5zFHVbmSR431 August 20264 September 2026
2W5zFJVNcZo419 September 202622 September 2026
2W5zFGNYNoT318 August 202624 October 2026
2W5zFGrj8mF36 August 202629 October 2026
2W5zFHFPqz9318 September 202618 September 2026
2W5zFHHxdBP327 October 20265 November 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. 134 further tokens are held for this entry and not listed here.

Measured over the 255 most recent posts we hold, published 5 August 2026 to 5 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 13 of 78 posts held from the last 30 days (16.7%) 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).

5 Nov 2026, 12:40 UTC70 views0 reactionsread 5 November 2026
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5 Nov 2026, 09:40 UTC113 viewsread 5 November 2026
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4 Nov 2026, 15:55 UTC184 views1 reactionsread 5 November 2026
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4 Nov 2026, 14:15 UTC184 views1 reactionsread 5 November 2026
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4 Nov 2026, 11:15 UTC149 views1 reactionsread 5 November 2026
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3 Nov 2026, 16:22 UTC211 views2 reactionsread 5 November 2026
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3 Nov 2026, 12:20 UTC200 views2 reactionsread 4 November 2026
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3 Nov 2026, 07:40 UTC198 views6 reactionsread 4 November 2026
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2 Nov 2026, 17:25 UTC216 views5 reactionsread 4 November 2026
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2 Nov 2026, 15:25 UTC191 views5 reactionsread 4 November 2026
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❤3👍1🔥1

2 Nov 2026, 11:58 UTC166 views5 reactionsread 3 November 2026
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🔥ЧЁРНАЯ ПЯТНИЦА В ИНТЕРНЕТ-МАГАЗИНЕ MOLODAY: СКИДКИ ДО −30% НА ВЕСЬ АССОРТИМЕНТ 👉🏼 Соберите зимний запас по выгодной цене → https://moloday.com/?utm_source=tg Коллаген для кожи, магний для спокойного сна, метабиотик для кишечника, витамин D3 для тёмных месяцев — весь ассортимент MOLODAY по самым выгодным ценам 🔥Самое время попробовать то, что давно откладывали и пополнить запасы любимых продуктов перед зимой. Акц…

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Showing the 12 most recent of 255 posts we hold for @MolodayHealth. 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.

Posts edited after publishing

@MolodayHealth edited 10 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
12 August 2026
Most recent edit
29 October 2026

Posts recorded as deleted after publishing

We recorded 1 post on @MolodayHealth as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
2 September 2026
Most recent seen missing
2 September 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
0

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.

3 Sept 2026, 04:39 UTCAnonymous Poll9 voters

Понимаете ли вы, что написано в ваших анализах?🤔

  1. Понимаю 🙃44%
  2. Смотрю только отклонения😅22%
  3. Гуглю все показатели 📲33%
  4. Не понимаю ничего 🥲11%

The shares total 110%, 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.

2 Sept 2026, 06:46 UTCAnonymous Poll3 voters

Как ваш ребенок пережил первый день школы?🎒

  1. С радостью побежал 🥰33%
  2. Сильно устал 😩0%
  3. Капризничал вечером 🤯33%
  4. Тяжело встал утром🫠33%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

20 Aug 2026, 06:07 UTCAnonymous Poll17 voters

Вам трудно засыпать? Лезут тревожные мысли?

  1. Да47%
  2. Нет53%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

20 Aug 2026, 06:06 UTCAnonymous Poll16 voters

Вы испытываете судороги, «зажатость» в теле, подергивание мышц?

  1. Да63%
  2. Нет38%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

20 Aug 2026, 06:05 UTCAnonymous Poll18 voters

Просыпаетесь уже уставшими?

  1. Да56%
  2. Нет44%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

15 Aug 2026, 07:16 UTCAnonymous Poll3 voters

Если вы нутрициолог и эксперт, вы хотели бы освоить инструмент, который поможет облегчить вашу работу и брать больше клиентов без потери качества услуг?

  1. Конечно, да67%
  2. Не думал(а) об этом33%

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 255 most recent posts we hold, published 5 August 2026 to 5 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 3 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.

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.

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.

MOLODAY
@molodayproduct · 147,269
#1
Инна Павлова | ЗОЖ без фанатизма
@neurogastro_impulsive · 3,868
#2
Moloday | Активное долголетие
@pro_nytriciolog · 14,670
#3
Нутрициология на экспертном уровне. Эксперт - Анастасия Лежнина
@lezhnina_as · 3,850
#4
Женское здоровье
@pro_womanhealthy · 7,143
#5
Ирина Гейкало блог
@nutriciologira · 1,903
#6
ВЫЗЫВАЙТЕ ПЕДОРИЧ
@annapenutri · 2,089
#7
Формула здоровья
@pro_formula · 4,626
#8
Интегративный нутрициолог | Pro-Здоровье
@nutriciolog_pro · 8,033
#9
Влада Исаченко
@vlada_nutriciolog · 840
#10
Высшее нутрициологическое
@evdokimova_nutri · 12,328
#11
Клуб МИИН
@miin_ankz · 51,698
#12
Нутри-жизнь вашей еды🌻
@nutriEZ · 398
#13
PRO гормоны и БАДы | Диляра Лебедева эндокринолог
@lebedeva_dilyara · 133,838
#14
Матрица здоровья | УОМ
@uom_nutrifirst · 9,251
#15
Нутрициолог Ольга Романова
@dobryi_nutriciolog · 560
#16
ВЛАДЕЙ ЗДОРОВЬЕМ | расстановки | коучинг | нутрициология
@vladeizdoroviem · 574
#17
Здравомыслие в еде
@zdravomislievede · 31,867
#18
Красота в здоровье ✨
@krasota_v_zdorov · 350
#19
АСИЗ Нутрициология
@ahip_dobroslavina · 3,518
#20
Не идеальный нутрициолог 😜
@nenutriciolog · 2,243 (as read 17 September 2026)
#21
NutriПИТАНИЕ
@nutripitanie · 3,807
#22
🍓ECO DAY🥑нутрициолог Дарья Москалёва
@ecodayy · 4,910
#23
Академия Нутрициологии
@nsa_academy · 63,012
#24
Ирина Шиманская Holistica
@tibetdoc · 78,918
#25
Натуральная медицина САТМ Holistica
@satm_holisticadoc · 8,073
#26
МАН Нутрициология
@man_academyofnutrition · 32,748
#27
Ксения Машкина
@dr_mashkina · 74,095
#28
Наталья Кузнецова | До молекул
@ja_v_forme · 1,842
#29
Форум "Стандарт Здоровья"
@health_standard · 1,407
#30
Коррекция паразитоза с МИИН
@antiparazitoz · 4,723
#31
Детская нутрициология | МИИН
@nutrimothermiin · 2,615
#32
👩‍🎓Академия здоровья семьи Кондаковых
@akademi_practic_nutrition · 3,806
#33
CNM
@cnmrus · 5,644
#34
Дадали В.А. Школа здоровья
@putkzdoroviyu · 34,141
#35
В теле смысла
@nutri_peters · 251
#36
Здоровые новости CoralClub
@healthynewsforyou · 21,415
#37
Что-то на полезном
@napoleznom · 10,083
#38
Для женщин про здоровье
@volkovaforwomen · 273,705
#39
Руслан Масгутов
@rusmasgutov · 142,220
#40
Нутрициолог Угрюмова пишет
@ugrymova_olga · 6,022
#41
Ирина Фаритова | Нутритерапевт 🇬🇧 CNM | коуч 🇺🇸 IIN
@faritova_nutrition · 10,988
#42
Moloday | Снижение биологического возраста
@recipes_prozdorovie · 23,443
#43
Инна Павлова | чек-ап мыслей
@neurogastro · 1,196
#44
Биохимия с Сабиной
@biochemistrymedic · 3,222
#45
Доктор Зубарева / Doctor Zubareva
@doctor_zubareva · 400,409
#46
Леся о еде и здоровье
@lesya_nutrition_blog · 334
#47
Алла, крестная мать биохакинга
@alla_dietolog · 13,153
#48
SashaBewell🥑
@sasha_bewell_gastro · 2,305
#49
Тренер с мозгами
@lusaveleva · 478
#50
Ирина Баранова🇷🇺 Врач anti-age
@baranovaia · 31,081
#51
Путешествие к здоровью🍀
@PPutkzdorovyu · 1,202
#52
Nature’s Sunshine
@naturessunshine_25 · 15,622
#53
О еде и не только 🌿
@nutriciolog_mari · 403
#54
Наталья Малышева [интегративный НУТРИЦИОЛОГ]
@naYazikeNutriciologii · 188 (as read 17 September 2026)
#55
Невролог Макаров 🩺
@nevrmakarov · 883
#56
Leonov chef
@leonovchef · 51,082
#57
Дарья Ермишина
@dr_ermishina · 16,118
#58
Ксения Пустовая
@k_pustovaya · 7,320
#59
Первая Школа Биохакинга | Здоровье
@pervayashkola · 23,778
#60
Glinkin Center / Глинкин Центр
@glinkin_center · 385
#61
G.D_wellness
@gdwellness · 12,146
#62
PRO питание и БАДы | Диляра Лебедева гастроэнтеролог
@stomach_lebedeva · 63,131
#63
Оазис Здоровья
@pr_dadali · 84,982
#64
Надя Андреева - нутрициолог об энергии
@shkolasvetlyachkov · 45,860
#65
ВЕБИНАРЫ МИИН
@miin_beauty · 6,164
#66
Марина Кимпицкая | Питание | Здоровье
@Kimpitskaya · 11,668
#67
4Life Трансфер Фактор РЦ74
@tf_pro_4life · 6,144
#68
УНИВЕРСИТЕТ НУТРИЦИОЛОГИИ
@munn3begining · 5,345
#69
Нутрициолог Елена Пчелова
@bee_healthy · 185
#70
Александра Могучая. Умный фитнес
@moguchaya_fit · 1,790
#71
Клуб поддержки нутрициологов и специалистов ЗОЖ
@nutritionist_club · 2,045
#72
Бегущий нутрициолог | Анастасия Жигунова🏃🏽‍♀️
@jigunovarun · 754
#73
Панасюк Николай
@getfit_nutrition · 69,669
#74
Женское здоровье
@pro_zhenskoe_zdorovie · 21,212
#75
Гастроэнтеролог Ольга Помойнецкая
@olga_pomoynetskaya · 249,019
#76
ЕКАТЕРИНА ОКСЕНЮК
@ekaterinaoksenuk · 11,319
#77
Доктор Павлов
@doc_gastro_life · 77,490
#78
✨Инвестиции в себя✨
@productvater · 365
#79
Здоровое поколение
@zdorovoe_pokolenye_rf · 2,834
#80
ВкусноПолезно с GetFit
@vkusnogetfit · 6,102
#81
Я — health-коуч | УОМ
@iamhcuom · 7,802
#82
Gastrosmile🌱Гастросмайл🌱Венера Хабирова🌱Интегративный Гастроэнтеролог
@gastrosmile · 40,989
#83
UniProf для врачей
@uniprof_med · 31,760
#84
Химия Пищи/Биохакинг/ А.Родионова
@ximiya_tasya_ro · 24,180
#85
Доктор Виктория Орлинская
@cardiodokstories · 162,206
#86
Pro здоровье
@Healthoffisial · 3,128
#87
Зожнулась
@zdes_o_zdorovie · 477
#88
katcookingdiary
@katcookingdiary · 1
#89

Read from Telegram’s recommendation API, most recently 17 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.

Moloday | Снижение биологического возраста
@recipes_prozdorovie · 23,443
Telegram ranks this channel #49 of 91 here — alongside 90 others — read 17 September 2026
МИФИМ ИНСТИТУТ НУТРИЦИОЛОГИИ
@zubareva_onlinee · 20,102
Telegram ranks this channel #62 of 89 here — alongside 88 others — read 27 September 2026
Школа Здоровья врача Ольги Помойнецкой
@health_club_drPomoinetskaya · 21,821
Telegram ranks this channel #64 of 84 here — alongside 83 others — read 21 September 2026

This channel appears in 3 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Велнес медиа by MOLODAY🧬” (@MolodayHealth), 27,740 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/MolodayHealth.

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.