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Channel

Велнес нимфа

@wellness_nymph

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

6,530subscribers

-168 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002055604000
TypeChannel
Username@wellness_nymph
DescriptionКанал Марии Грудиной Создательница курорта «Первая Линия» https://hcresort.ru
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live2 November 2026
Measurements held22
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/wellness_nymph

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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.

Growth

6,5306,6996,614.57 August 2026 — 6,698 subscribers8 August 2026 — 6,699 subscribers11 August 2026 — 6,692 subscribers15 August 2026 — 6,682 subscribers18 August 2026 — 6,673 subscribers21 August 2026 — 6,660 subscribers25 August 2026 — 6,658 subscribers28 August 2026 — 6,649 subscribers31 August 2026 — 6,640 subscribers4 September 2026 — 6,635 subscribers9 September 2026 — 6,632 subscribers13 September 2026 — 6,628 subscribers17 September 2026 — 6,630 subscribers26 September 2026 — 6,607 subscribers5 October 2026 — 6,579 subscribers12 October 2026 — 6,583 subscribers14 October 2026 — 6,574 subscribers18 October 2026 — 6,559 subscribers24 October 2026 — 6,556 subscribers27 October 2026 — 6,551 subscribers30 October 2026 — 6,537 subscribers2 November 2026 — 6,530 subscribers7 August 20262 November 2026
22 measurements spanning 87 days, net -168. 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 6,505–6,724 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
2 Nov 2026, 14:346,530-7
30 Oct 2026, 03:506,537-14
27 Oct 2026, 00:466,551-5
24 Oct 2026, 10:476,556-3
18 Oct 2026, 06:056,559-15
14 Oct 2026, 23:296,574-9
12 Oct 2026, 03:226,583+4
5 Oct 2026, 05:166,579-28
26 Sept 2026, 21:556,607-23
17 Sept 2026, 09:376,630+2
13 Sept 2026, 11:156,628-4
9 Sept 2026, 08:386,632-3
4 Sept 2026, 06:006,635-5
31 Aug 2026, 14:076,640-9
28 Aug 2026, 07:266,649-9
25 Aug 2026, 02:526,658-2
21 Aug 2026, 11:426,660-13
18 Aug 2026, 13:536,673-9
15 Aug 2026, 07:266,682-10
11 Aug 2026, 14:456,692first reading

Engagement

18 posts held, back to 29 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.3%
avg views ÷ 6,530 subscribers
Avg views / post
867
6 posts measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
6
of 18 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 October 2026
Posts held18 (29 July 2026 – 29 October 2026)
Views total5,204
Reactions total94
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 22:18 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
886
Videos
126
Links
119

Lifetime counters from Telegram’s own channel header, read 3 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
41s
Average length
10s

Measured directly from 4 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

507 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 52.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤26552.3%
❤‍🔥7114.0%
😍5310.5%
🥰346.71%
🔥295.72%
💯214.14%
🤩132.56%
💋81.58%
💘71.38%
😇61.18%

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 18 of the 18 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 507 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 29 July 2026 to 29 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wellness_nymph. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 18 most recent posts we hold for this entry, published 29 July 2026 to 29 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

29 Oct 2026, 15:20 UTC476 views22 reactionsread 3 November 2026

О пользе прекрасного с точки зрения науки Кажется у нас появилось ещё одно научное подтверждение того, что искусство способно влиять не только на наше эмоциональное состояние, но и на вполне измеримые физиологические процессы. В исследовании, опубликованном в Brain, Behavior, and Immunity, учёные изучали как созерцание искусства влияет на физиологическое состояние человека. Участников разделили на две группы: одни…

❤18🔥3🥰1

27 Oct 2026, 07:36 UTC633 views11 reactionsread 3 November 2026
Video

Настроение дня 🤍

❤8💋1😇1😍1

15 Oct 2026, 11:23 UTC≈1,160 views14 reactionsread 3 November 2026
Photo

17 октября любимое Сколково проводит ЗдравФорум - «Жить долго – жить по-другому». В центре внимания - то, как перспектива долголетия меняет экономику, бизнес-модели, медицинские стратегии и личный выбор каждого. Осень - сезон для тех, кто интересуется здравоохранением, следит за новыми тенденциями и хочет лучше понимать будущее медицины. Присоединяйтесь и открывайте для себя новые знания. Для аудитории моего блога…

❤8❤‍🔥3😇3

13 Oct 2026, 04:50 UTC≈1,040 views16 reactionsread 3 November 2026
Photo

После триумфальной проходки в платье торте я вдруг поняла, что апогей свадебно невестного стиля достигнут. Выше точки уже не будет. Хочется новинок, какого то женского земного очень изысканного и противоречивого.

❤15😍1

10 Oct 2026, 16:26 UTC≈1,050 views29 reactions1 Starread 3 November 2026
Video

Показ Даши Гуниной в Особняке Мясникова в рамках конкурса « Новые имена в моде» от @sobaka_ru удивительно органичное событие для моей души. Сама идея коллекции «Happily Never After»- в приземлении мира девических мечт к действительности, реальности. В окружении интерьеров особняка Мясникова, где часто проходят оперные и поэтические вечера, шествие красоты меня подхватило и закружило. Вдохновила и репетиция с Сер…

❤15🔥7😍4🤩2❤‍🔥1

19 Aug 2026, 09:39 UTC314 views18 reactionsread 20 August 2026
Photo

Что важнее - кардинальный поворот мышления или сила маленьких шагов? На самом деле здесь нет противоречия - это два этапа одного процесса. Кардинальный поворот мышления действительно необходим. Иногда нужен импульс, бустер, момент, когда человек понимает, что та ментальная модель, в которой он живет, больше его не устраивает. Но одно лишь понимание ничего не меняет, потому что понимание - это только вектор. Реаль…

❤8💯4❤‍🔥2😍2💘1🥰1

17 Aug 2026, 10:03 UTC516 views37 reactionsread 20 August 2026
Photo

Суперэгоистическая псевдомораль Все больше людей страдают от отсутствия содержания и цели в жизни - экзистенциального вакуума. Ложные цели, ложные ценности и их отстаивание порождают внутренние ограничения, а за ними - потерю интереса и смысла. Чего Вы себе точно не можете позволить? Что Вас раздражает больше всего в других? Это то, чего вы себе разрешить не можете. А возможно, хотели бы. Но есть социальные нормы…

❤24❤‍🔥8💯4🔥1

15 Aug 2026, 10:41 UTC677 views29 reactionsread 20 August 2026
Photo

Еще одна причина обнять дорогого вашему сердцу человека В исследовании, опубликованном в Journal of Sleep Research, авторы пришли к выводу, что поддерживающий физический контакт (объятия, нежные прикосновения и контакт кожа-к-коже) связан с более высоким качеством сна. Объяснение заключается в том, что рядом с близким человеком нам легче почувствовать себя в безопасности. Организм быстрее расслабляется, снижается у…

❤18🥰6💋2💘2💯1

13 Aug 2026, 10:27 UTC772 views52 reactionsread 20 August 2026
Photo

В юности я часто ощущала себя неловко. Приходя в новую компанию, мне становилось страшно - сказать что-то не то, не понравиться. Не людям, конечно, себе. Я казалась себе какой-то неловкой, не выросшей в величину своего человечества. Говорила - и это было вовсе не то, что хотелось сказать. Молчание становилось таким удушающе неловким, шутки - бессмешными. Теперь, когда почти в любом месте и с любыми людьми мне хорош…

❤24🥰14😍7❤‍🔥4💯2🔥1

11 Aug 2026, 09:09 UTC769 views35 reactionsread 20 August 2026
Photo

Что делают другие, когда хотят отдохнуть: встречаются с друзьями, идут на шоппинг, устраивают вечеринки Что делаю я: встречаюсь с Прустом, Набоковым и Бердяевым за чашкой Earl Grey

❤19❤‍🔥9🥰5🔥1😍1

8 Aug 2026, 14:49 UTC920 views40 reactionsread 20 August 2026

Habit Stacking или метод наслоения полезных привычек Зачастую мы думаем о новых привычках как о чем-то, для чего нужно найти отдельное время: начать медитировать, больше читать, делать зарядку, вести дневник. Один из способов сделать этот процесс проще - метод наслоения привычек или habit stacking. Его популяризировал Джеймс Клир, опираясь на подход Би Джей Фогга. Суть заключается в том, чтобы не создавать привычку…

❤27❤‍🔥9🤩4

Showing the 12 most recent of 18 posts we hold for @wellness_nymph. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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 9 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.

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.

Бордовских
@vitaminluv · 20,959
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 25 September 2026
Нескучный ВЕЛНЕС
@happywellness · 76,604
Telegram ranks this channel #16 of 91 here — alongside 90 others — read 19 August 2026
Бьютимаргиналия
@beautymarginalia · 42,445
Telegram ranks this channel #27 of 89 here — alongside 88 others — read 28 August 2026
Доктор Жимба
@JutShiClinic · 49,759
Telegram ranks this channel #31 of 93 here — alongside 92 others — read 26 August 2026
Безфильтров
@bezfiltrov_show · 28,872
Telegram ranks this channel #79 of 94 here — alongside 93 others — read 9 September 2026

This channel appears in 5 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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“Велнес нимфа” (@wellness_nymph), 6,530 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/wellness_nymph.

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.