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Telegram profile photo for Велнес медиа by MOLODAY🧬

Channel

Велнес медиа by MOLODAY🧬

@MolodayHealth

On this record: Topic · Observations · Channels linked by matching posts · 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

27,610subscribers

-1,888 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
DescriptionМедиа для тех, кто согласен жить долго в ресурсном состоянии 🌙MOON - велнес-сервис по вопросам здоровья и долголетия https://t.me/moloday_longevity_bot?start=moloday__tg__header
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 live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 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 in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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@molodayproduct/126575 Aug 2026, 11:42 UTC1.00under a minute
@MolodayHealth/6248 · this entry6 Aug 2026, 11:38 UTC@molodayproduct/126686 Aug 2026, 11:44 UTC1.006 minutes
@MolodayHealth/6281 · this entry9 Aug 2026, 12:21 UTC@molodayproduct/126999 Aug 2026, 12:36 UTC1.0016 minutes
@MolodayHealth/6334 · this entry14 Aug 2026, 06:47 UTC@molodayproduct/1275214 Aug 2026, 07:03 UTC1.0016 minutes
@MolodayHealth/6335 · this entry14 Aug 2026, 09:01 UTC@molodayproduct/1275314 Aug 2026, 09:02 UTC1.0072 seconds
@MolodayHealth/6434 · this entry24 Aug 2026, 08:13 UTC@molodayproduct/1284324 Aug 2026, 08:13 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@molodayproduct104 (8/8 hand-verifiable sample passed)1.006 minutesthis entry (94–10)
@recipes_prozdorovie91 (8/8 hand-verifiable sample passed)1.005 minutesthis entry (87–4)
@pro_nytriciolog90 (8/8 hand-verifiable sample passed)1.005 minutesthis entry (86–4)

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. 18 of the 18 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 256 comparable posts for this entry, running 5 August 2026 to 13 November 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).

Of the group of 4 channels, the one whose matching posts we hold earliest 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 14 November 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.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

27,61029,49828,5547 August 202612 November 2026
65 measurements spanning 97 days, net -1,888. 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 27,327–29,781 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 20:2727,610-36
10 Nov 2026, 12:0427,646-35
8 Nov 2026, 21:5927,681-21
7 Nov 2026, 12:2827,702-11
6 Nov 2026, 14:3627,713-27
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, 02:5827,985first reading

Engagement

278 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 164 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.802%
avg views ÷ 27,610 subscribers
Avg views / post
221
77 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
77
of 278 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 72 of 77 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 14 November 2026
Posts held278 (5 August 2026 – 14 November 2026)
Views total17,044
Reactions total201
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 15:01 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

Photos
≈4,130
Videos
≈558
Links
≈2,020

Lifetime counters from Telegram’s own channel header, read 14 November 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
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

757 reactions across 234 posts, in 10 distinct kinds. The most used accounts for 67.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤50767.0%
🔥12516.5%
👍567.40%
😁283.70%
💊212.77%
🥰91.19%
💯70.925%
🤔20.264%
👏10.132%
😢10.132%

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 234 of the 278 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 757 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 278 most recent posts we hold, published 5 August 2026 to 14 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
79.5%
221 of 278 posts carry an ad marker
Regulatory tokens
221
posts carrying an erid · 159 distinct tokens
Median views · ads
246
over 221 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
2W5zFHC4ycD412 November 202614 November 2026
2W5zFHHxdBP427 October 20267 November 2026
2W5zFHVbmSR431 August 20264 September 2026
2W5zFJVNcZo419 September 202622 September 2026
2W5zFGNYNoT318 August 202624 October 2026
2W5zFGrj8mF36 August 202629 October 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. 147 further tokens are held for this entry and not listed here.

Measured over the 278 most recent posts we hold, published 5 August 2026 to 14 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: 7 of 77 posts held from the last 30 days (9.09%) 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).

14 Nov 2026, 11:45 UTC86 viewsread 14 November 2026
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13 Nov 2026, 15:50 UTC197 views2 reactionsread 14 November 2026
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☕️5 ФИЛЬМОВ ДЛЯ УЮТНОГО ВЕЧЕРА 👉🏼 Устройте себе спокойный вечер → https://t.me/moloday_longevity_bot?start=moloday__tg__20261113__post3 Пятница — хороший повод замедлиться. Собрали пять фильмов для уютного вечера — после них хочется высыпаться, вкусно есть и уделять больше времени себе. 🌙Если к концу недели сил не остаётся, напишите MOON - умному велнес-сервису: «к пятнице совсем нет сил — как восстановиться за вы…

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13 Nov 2026, 13:35 UTC177 views3 reactionsread 14 November 2026
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🌙ТЕЛЕФОН ОТНИМАЕТ ВАШ СОН 👉🏼 Засыпайте быстрее уже сегодня → https://t.me/moloday_longevity_bot?start=moloday__tg__20261113__post2__t_sleep Последние полчаса перед сном многие проводят, листая ленту соцсетей. Яркий экран сообщает мозгу, что ещё день, и выработка мелатонина — гормона сна — сдвигается. Исследователи Гарвардской медицинской школы показали: после чтения с экрана перед сном люди засыпали позже и утром …

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13 Nov 2026, 08:03 UTC184 views2 reactionsread 14 November 2026
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12 Nov 2026, 16:01 UTC179 views3 reactionsread 14 November 2026
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🌙ОДИН ВОПРОС MOON ВМЕСТО ДЕСЯТКА СТАТЕЙ 👉🏼 Узнайте, что забирает силы каждый день → https://t.me/moloday_longevity_bot?start=moloday__tg__20261112__post3 Что говорят о MOON — читайте отзывы тех, кто уже активно пользуется велнес-сервисом Чтобы разобраться в одном вопросе о питании или сне, обычно приходится прочитать десяток статей, которые противоречат друг другу. 🌙MOON - умный велнес-сервис, опирается на научны…

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12 Nov 2026, 12:50 UTC167 views4 reactionsread 14 November 2026
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12 Nov 2026, 08:15 UTC191 views1 reactionsread 13 November 2026
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11 Nov 2026, 17:03 UTC236 views6 reactionsread 13 November 2026
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11 Nov 2026, 13:10 UTC213 views3 reactionsread 13 November 2026
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🧬7 ФАКТОВ О МАГНИИ, КОТОРЫЕ ВАС УДИВЯТ 👉🏼 Восполните запас магния → https://molodayshop.mobz.site/k6riz Магний участвует в сотнях процессов в организме: от выработки энергии в клетках до работы нервной системы и мышц. При стрессе, недосыпе и интенсивных тренировках минерал расходуется быстрее, а с обычным питанием его часто недобирают. 🧬Восполнить запас поможет магний цитрат MOLODAY. Цитрат относится к формам магн…

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11 Nov 2026, 08:31 UTC229 views3 reactionsread 12 November 2026
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10 Nov 2026, 15:50 UTC232 views4 reactionsread 12 November 2026
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10 Nov 2026, 13:04 UTC192 views3 reactionsread 12 November 2026
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🥗СТРОГИЕ ДИЕТЫ ЗАМЕДЛЯЮТ ПОХУДЕНИЕ 👉🏼 Узнайте, почему вес не уходит → https://t.me/moloday_longevity_bot?start=moloday__tg__20261110__post3__t_weight Урезали рацион, отказались от хлеба и сладкого, а через пару недель вес перестал снижаться? Как это работает, показал известный эксперимент Университета Миннесоты. Участники полгода получали вдвое меньше еды, чем обычно. Организм приспособился к нехватке и замедлил о…

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Showing the 12 most recent of 278 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 278 most recent posts we hold, published 5 August 2026 to 14 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 · 146,814
#1
Инна Павлова | ЗОЖ без фанатизма
@neurogastro_impulsive · 3,861
#2
Moloday | Активное долголетие
@pro_nytriciolog · 14,642
#3
Нутрициология на экспертном уровне. Эксперт - Анастасия Лежнина
@lezhnina_as · 3,849
#4
Женское здоровье
@pro_womanhealthy · 7,117
#5
Ирина Гейкало блог
@nutriciologira · 1,904
#6
ВЫЗЫВАЙТЕ ПЕДОРИЧ
@annapenutri · 2,089
#7
Формула здоровья
@pro_formula · 4,621
#8
Интегративный нутрициолог | Pro-Здоровье
@nutriciolog_pro · 8,021
#9
Влада Исаченко
@vlada_nutriciolog · 839
#10
Высшее нутрициологическое
@evdokimova_nutri · 12,326
#11
Клуб МИИН
@miin_ankz · 51,380
#12
Нутри-жизнь вашей еды🌻
@nutriEZ · 398
#13
PRO гормоны и БАДы | Диляра Лебедева эндокринолог
@lebedeva_dilyara · 133,590
#14
Матрица здоровья | УОМ
@uom_nutrifirst · 9,247
#15
Нутрициолог Ольга Романова
@dobryi_nutriciolog · 555
#16
ВЛАДЕЙ ЗДОРОВЬЕМ | расстановки | коучинг | нутрициология
@vladeizdoroviem · 574
#17
Здравомыслие в еде
@zdravomislievede · 32,055
#18
Красота в здоровье ✨
@krasota_v_zdorov · 349
#19
АСИЗ Нутрициология
@ahip_dobroslavina · 3,509
#20
Не идеальный нутрициолог 😜
@nenutriciolog · 2,243 (as read 17 September 2026)
#21
NutriПИТАНИЕ
@nutripitanie · 3,805
#22
🍓ECO DAY🥑нутрициолог Дарья Москалёва
@ecodayy · 4,963
#23
Академия Нутрициологии
@nsa_academy · 62,907
#24
Ирина Шиманская Holistica
@tibetdoc · 78,901
#25
Натуральная медицина САТМ Holistica
@satm_holisticadoc · 8,053
#26
МАН Нутрициология
@man_academyofnutrition · 32,697
#27
Ксения Машкина
@dr_mashkina · 73,953
#28
Наталья Кузнецова | До молекул
@ja_v_forme · 1,839
#29
Форум "Стандарт Здоровья"
@health_standard · 1,403
#30
Коррекция паразитоза с МИИН
@antiparazitoz · 4,712
#31
Детская нутрициология | МИИН
@nutrimothermiin · 2,613
#32
👩‍🎓Академия здоровья семьи Кондаковых
@akademi_practic_nutrition · 3,800
#33
CNM
@cnmrus · 5,649
#34
Дадали В.А. Школа здоровья
@putkzdoroviyu · 34,341
#35
В теле смысла
@nutri_peters · 250
#36
Здоровые новости CoralClub
@healthynewsforyou · 21,344
#37
Что-то на полезном
@napoleznom · 10,072
#38
Для женщин про здоровье
@volkovaforwomen · 272,871
#39
Руслан Масгутов
@rusmasgutov · 141,843
#40
Нутрициолог Угрюмова пишет
@ugrymova_olga · 5,964
#41
Ирина Фаритова | Нутритерапевт 🇬🇧 CNM | коуч 🇺🇸 IIN
@faritova_nutrition · 10,994
#42
Moloday | Снижение биологического возраста
@recipes_prozdorovie · 23,380
#43
Инна Павлова | чек-ап мыслей
@neurogastro · 1,195
#44
Биохимия с Сабиной
@biochemistrymedic · 3,233
#45
Доктор Зубарева / Doctor Zubareva
@doctor_zubareva · 399,335
#46
Леся о еде и здоровье
@lesya_nutrition_blog · 333
#47
Алла, крестная мать биохакинга
@alla_dietolog · 13,157
#48
SashaBewell🥑
@sasha_bewell_gastro · 2,301
#49
Тренер с мозгами
@lusaveleva · 477
#50
Ирина Баранова🇷🇺 Врач anti-age
@baranovaia · 31,008
#51
Путешествие к здоровью🍀
@PPutkzdorovyu · 1,199
#52
Nature’s Sunshine
@naturessunshine_25 · 15,664
#53
О еде и не только 🌿
@nutriciolog_mari · 404
#54
Наталья Малышева [интегративный НУТРИЦИОЛОГ]
@naYazikeNutriciologii · 188 (as read 17 September 2026)
#55
Невролог Макаров 🩺
@nevrmakarov · 880
#56
Leonov chef
@leonovchef · 50,969
#57
Дарья Ермишина
@dr_ermishina · 16,128
#58
Ксения Пустовая
@k_pustovaya · 7,311
#59
Первая Школа Биохакинга | Здоровье
@pervayashkola · 23,734
#60
Glinkin Center / Глинкин Центр
@glinkin_center · 383
#61
G.D_wellness
@gdwellness · 12,133
#62
PRO питание и БАДы | Диляра Лебедева гастроэнтеролог
@stomach_lebedeva · 63,019
#63
Оазис Здоровья
@pr_dadali · 84,608
#64
Надя Андреева - нутрициолог об энергии
@shkolasvetlyachkov · 45,784
#65
ВЕБИНАРЫ МИИН
@miin_beauty · 6,159
#66
Марина Кимпицкая | Питание | Здоровье
@Kimpitskaya · 11,636
#67
4Life Трансфер Фактор РЦ74
@tf_pro_4life · 6,123
#68
УНИВЕРСИТЕТ НУТРИЦИОЛОГИИ
@munn3begining · 5,345
#69
Нутрициолог Елена Пчелова
@bee_healthy · 185
#70
Александра Могучая. Умный фитнес
@moguchaya_fit · 1,789
#71
Клуб поддержки нутрициологов и специалистов ЗОЖ
@nutritionist_club · 2,038
#72
Бегущий нутрициолог | Анастасия Жигунова🏃🏽‍♀️
@jigunovarun · 750
#73
Панасюк Николай
@getfit_nutrition · 69,481
#74
Женское здоровье
@pro_zhenskoe_zdorovie · 21,177
#75
Гастроэнтеролог Ольга Помойнецкая
@olga_pomoynetskaya · 248,458
#76
ЕКАТЕРИНА ОКСЕНЮК
@ekaterinaoksenuk · 11,315
#77
Доктор Павлов
@doc_gastro_life · 77,697
#78
✨Инвестиции в себя✨
@productvater · 365
#79
Здоровое поколение
@zdorovoe_pokolenye_rf · 2,833
#80
ВкусноПолезно с GetFit
@vkusnogetfit · 6,087
#81
Я — health-коуч | УОМ
@iamhcuom · 7,779
#82
Gastrosmile🌱Гастросмайл🌱Венера Хабирова🌱Интегративный Гастроэнтеролог
@gastrosmile · 40,951
#83
UniProf для врачей
@uniprof_med · 31,712
#84
Химия Пищи/Биохакинг/ А.Родионова
@ximiya_tasya_ro · 24,173
#85
Доктор Виктория Орлинская
@cardiodokstories · 162,333
#86
Pro здоровье
@Healthoffisial · 3,131
#87
Зожнулась
@zdes_o_zdorovie · 485
#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 · 23,380
Telegram ranks this channel #49 of 91 here — alongside 90 others — read 17 September 2026
МИФИМ ИНСТИТУТ НУТРИЦИОЛОГИИ
@zubareva_onlinee · 20,007
Telegram ranks this channel #62 of 89 here — alongside 88 others — read 27 September 2026
Школа Здоровья врача Ольги Помойнецкой
@health_club_drPomoinetskaya · 21,769
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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Велнес медиа by MOLODAY🧬” (@MolodayHealth), 27,610 subscribers as measured 12 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.