Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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
62 measurements spanning 91 days, net +4,510. 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 19,366–29,785 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
6 Nov 2026, 18:25
25,569
-221
5 Nov 2026, 16:36
25,790
+306
4 Nov 2026, 15:47
25,484
+1,011
3 Nov 2026, 14:50
24,473
+540
2 Nov 2026, 11:37
23,933
-87
1 Nov 2026, 14:29
24,020
-113
31 Oct 2026, 17:40
24,133
-10
30 Oct 2026, 15:29
24,143
+78
29 Oct 2026, 16:08
24,065
+174
28 Oct 2026, 18:11
23,891
-194
27 Oct 2026, 14:59
24,085
-54
26 Oct 2026, 17:06
24,139
-182
25 Oct 2026, 15:28
24,321
-213
24 Oct 2026, 14:48
24,534
-180
23 Oct 2026, 17:16
24,714
-188
22 Oct 2026, 19:39
24,902
+1,382
21 Oct 2026, 12:09
23,520
+401
20 Oct 2026, 09:01
23,119
-177
19 Oct 2026, 11:16
23,296
-302
18 Oct 2026, 13:28
23,598
first reading
Engagement
105 posts held, back to 4 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 125 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.8%
avg views ÷ 25,569 subscribers
Avg views / post
6,350
44 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
44
of 105 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
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
105 (4 August 2026 – 5 November 2026)
Views total
279,360
Reactions total
5,187
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 17:34 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
7m 48s
Average length
18s
Measured directly from 26 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
13,517 reactions across 103 posts, in 8 distinct kinds. The most used accounts for 29.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,936
29.1%
🔥
3,710
27.4%
🥰
2,750
20.3%
😍
1,202
8.89%
❤🔥
1,157
8.56%
💘
499
3.69%
💅
173
1.28%
🕊
90
0.666%
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 103 of the 105 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 13,517 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 105 most recent posts we hold, published 4 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
5
of 103 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wellnesseleonora. 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 105 most recent posts we hold for this entry, published 4 August 2026 to 5 November 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
Telegram’s own ‘edited’ marker: 8 of 44 posts held from the last 30 days (18.2%) 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).
Around the World’s new store🐝
Забежала сегодня к любимейшим Around the World поздравить с открытием флагманского магазина на Большой Бронной и осталась в огромном восторге!🌸🌸
Любовь к своему делу и душа чувствовались в каждой детали интерьера, начиная от осовремененных картин в стиле эпохи Ренессанса и ручек в виде пчелки, символа бренда, заканчивая зоной кастомизации - возможностью, за счет которой многим так пол…
🤩 Kind reminder 🤩
Маршрут перестроен!
Начните применять в жизни метод навигатора - он при каждом неверном повороте вместо критики и причитаний просто перестраивает маршрут и ищет новые пути к цели🗾 Сколько раз вы бы ни ошибались в дороге, он все равно ищет способы для движения вперед к конечной цели
В жизни все точно так же: вместо того, чтобы сокрушаться об ошибке, ищите план B, C, D и тд, тратье свои силы и изоб…
☕️ Aesthetic morning coffee 🌸
Утро после праздников - самое приятное! Дома красота и уют, вокруг цветы и украшения дочки, которые ей надарили на день рождения.. девичий рай, одним словом💍💅😀 Приготовила себе любимый (он же и единственный по сути😅) завтрак и пыталась призвать солнце с помощью эскимо от Чистой Линии: туман за окном так и не развеялся, но поднявшийся в моей крови сахар точно сделал этот день чуточку ярч…
🤩 Best choice for skin issues 🥥
Нашла для нас визуальную памятку по продуктам питания под определенные запросы и состояния кожи🤩 Да, таблетки решают проблему симптоматично, но если в самой базе у вас нет разнообразного рациона и вы регулярно не добираете нутриенты, витамины и минералы из пищи, то никакие добавки вопрос в корне не решат🤌
🍅темные круги, уставшая кожа
плохое кровообращение, недостаток нутриентов, обез…
Jam, but make it for your skin🍒
Что-что, а джема для тела я еще не видела, но как только узнала о появлении, взяла попробовать🍓 с Zeitun познакомилась через их кремы-шайбы, обожала в декрете и до сих пор держу на прикроватной тумбе - с розой и арганой самые любимые ароматы!
Джем, хоть и пахнет максимально аппетитно клубникой и инжиром, хочется съесть прямо из банки🤭, но на деле это сахарный скраб, который мягко пол…
💚 Advanced healthcare tools 🧪
Современный здоровый образ жизни - вещь настолько индивидуальная: невозможно рассчитать универсальную нагрузку, рацион питания и режим для всех🧘♀️🍱 Поэтому я всегда на стороне того, чтобы интересоваться исследованиями в сфере спорта и питания, узнавать что в общем сработало на людях, в частности, на девушках, потому что до последнего времени научные работы проводились в основном на муж…
Protein maxxxing starter pack☺️
Пока одни люди возмущаются, что магазины захватила протеиномания, я искренне радуюсь, что расширился выбор и можно более эффективно добирать белок любимыми продуктами!🔥
На днях получила набор поистине чемпионского рациона от Fitness Time, - тут и творог с повышенным содержанием белка (казалось, куда еще больше, но они смогли!), и вкуснейшие альбуминные творожки и то, что закончилось …
🔥46❤39🥰29💘4😍4❤🔥3
Showing the 12 most recent of 105 posts we hold for @wellnesseleonora. 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
@wellnesseleonora edited 1 post 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
31 August 2026
Most recent edit
31 August 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @wellnesseleonora 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
18 October 2026
Median time before seen missing
39 hours
Seen missing in the last 30 days
1
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Wellness club🤸🏽 by Eleonora” (@wellnesseleonora), 25,569 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/wellnesseleonora.
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.