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 67% 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 93 days, net +6,889. 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 17,957–36,524 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
8 Nov 2026, 10:19
30,883
-544
7 Nov 2026, 08:29
31,427
-758
6 Nov 2026, 08:25
32,185
-1,506
5 Nov 2026, 08:27
33,691
+95
4 Nov 2026, 06:58
33,596
-562
3 Nov 2026, 04:37
34,158
-224
2 Nov 2026, 00:56
34,382
+1,061
31 Oct 2026, 21:49
33,321
-307
30 Oct 2026, 23:06
33,628
-371
30 Oct 2026, 02:38
33,999
+1,169
29 Oct 2026, 00:41
32,830
+2,231
28 Oct 2026, 00:14
30,599
-197
26 Oct 2026, 21:47
30,796
-164
26 Oct 2026, 01:19
30,960
-1
25 Oct 2026, 03:47
30,961
-181
24 Oct 2026, 04:26
31,142
-337
23 Oct 2026, 05:09
31,479
+181
22 Oct 2026, 08:17
31,298
+98
20 Oct 2026, 22:26
31,200
+233
19 Oct 2026, 22:40
30,967
first reading
Engagement
53 posts held, back to 27 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 144 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.7%
avg views ÷ 30,883 subscribers
Avg views / post
7,320
13 posts measured
Reaction rate
2.40%
reactions ÷ views · ER floor
Posts in window
15
of 53 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 6 November 2026
Posts held
53 (27 July 2026 – 6 November 2026)
Views total
95,160
Reactions total
2,284
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 09:41 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
24s
Average length
12s
Measured directly from 2 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
7,909 reactions across 49 posts, in 3 distinct kinds. The most used accounts for 45.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,617
45.7%
😍
2,163
27.3%
🔥
2,129
26.9%
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 49 of the 53 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 7,909 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 27 July 2026 to 6 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
20
across the posts below
Posts paid on
10
of 49 we hold a reading for · 20%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ohwonderful. 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 53 most recent posts we hold for this entry, published 27 July 2026 to 6 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: 1 of 15 posts held from the last 30 days (6.67%) 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).
Девочки, какие же интересные новинки приехали ко мне от Hey! Babes Cosmetics! 😍
Тут и PDRN, и койевая кислота, и даже хлорноватистая кислота, которая всё чаще появляется в уходовой косметике!
💕AXIS-Y Triple PDRN Barrier Boost Serum - сыворотка с PDRN, ниацинамидом и пептидами. А внутри золотистые ниточки, которые растворяются при нанесении! Формула направлена на увлажнение и поддержку защитного барьера кожи.
💕AXIS…
{красивые банки и немного науки}
Девочки, кажется, корейская косметика сейчас переживает настоящий бум на пептиды, PDRN, экзосомы и NAD+!
Собрала для вас небольшую шпаргалку по этим популярным активам. Но хочу кое-что уточнить)
Я совсем не против таких компонентов! Многие из них действительно перспективные, но вот с доказательной базой пока не все так однозначно.
💖Пептиды - уже имеют определенные исследования, но …
{новый вечерний ритуал}
Девочки, я тут открыла для себя новинку от Faberlic - охлаждающая маска для глаз.
😻Она так приятно охлаждает веки. За эти пол часа напряжение и дискомфорт уходят, и я сразу чувствую себя другим человеком.
😻Честно, я теперь каждый вечер по 30 минут с ней лежу.
Особенно хороша для тех, кто работает за компьютером.
Определенно в копилочку реально полезных новинок.
Девочки, я решила обновить себе сумки!
Хотела взять одну вместительную, чтобы можно было сложить абсолютно все, а так же одну небольшую для коротких прогулок.
Считаю, что с задачей я справилась успешно, и мне приехали качественные и стильные сумочки 1:1, как раз под мои образы 😍
Делюсь теперь с вами!
Все ссылочки в комментариях
Девочки, а вы уже видели тренд anti-blush? 🥰
Суть в том, чтобы создать максимально естественный румянец, который практически незаметен на коже.
Собрала для вас небольшую
подборку таких оттенков от российских и зарубежных брендов. Ну красота же! 😍
Это определенно лучшее решение на осень.
Дорогие, у меня тут новая закупка ухода😍
У Lunifera всегда отличный выбор всех самых популярных уходовых корейских брендов!
• крем с ретиналем и бакучиолом от By Wishtrend. Использую его уже неделю, прекрасный эффект без раздражения!
• повторно беру своих любимчиков: мягкая пенка для умывая от dr.Althea и сыворотка с азелаинкой от Anua. Это комбо творит чудеса с кожей.
• для точечных воспалений взяла супер тонкие п…
Девочки, у Faberlic вышли интересные новиночки, и я взяла пару банок для мамули💖
Линейка PDRN с пептидами и гиалуроновой кислотой. Формулы направлены на увлажнение, повышение упругости кожи и разглаживание мелких морщинок.
• Баночки с дозатором - отдельный плюс. Просто нажимаешь на верхнюю крышечку и получаешь порцию средства. Максимально удобно и гигиенично!
Отличный вариант на осень.
Девочки, предлагаю в пасмурную осень немного поднять себе настроение!
Собрала для вас две небольшие подборки с ЯМ.
Честно, я хочу все!
Первым делом закажу розовую толстовку и термокружку.
🎀Сохраняйте себе, чтобы не потерять
Девочки, у меня тут очень необычная бьюти-новинка!
Collab x S7 Shop.
морской коллаген-желе, созданный совместно с авиакомпанией S7 Airlines!
📎В основе коллаген из глубоководного кальмара, добываемого в Тихом океане.
Мне очень понравился вкус граната 😍
📎Отдельно хочу отметить формат стиков! Ничего не нужно разводить, можно просто положить в сумочку и взять с собой хоть на работу, хоть в путешествие.
Как вам такой…
Девочки, как же мы вкусно поели с сестрой в Atlantica Bistro.
Мы пришли на ужин, голодные, сдвинули два стола и заказали себе кучу всего 😂 это был просто велико веселье вечер!
Отдельно хочу отметить позиции:
• Сковорода с морепродуктами
• Тар-тар из лосося, тунца и красной икрой. Подается с чипсами нори
• Большой зеленый салат
Именно эта локация стала для меня фаворитом. Безумно красивый интерьер, внимательное обс…
❤81🔥41😍38
Showing the 12 most recent of 53 posts we hold for @ohwonderful. 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.
Posts recorded as deleted after publishing
We recorded 6 posts on @ohwonderful 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
8 August 2026
Most recent seen missing
29 October 2026
Median time before seen missing
45 hours
Seen missing in the last 30 days
3
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 1 registered channel — 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.
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.
Read from Telegram’s recommendation API, most recently 18 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.
Леди Гринч🩷 @lyubofka_33 · 18,968 Telegram ranks this channel #4 of 67 here — alongside 66 others — read 29 September 2026
Чаю налить?☕️ @pourmeteea · 61,399 Telegram ranks this channel #5 of 66 here — alongside 65 others — read 31 August 2026
Yulia Nagubneva @YuliaNagubneva · 40,549 Telegram ranks this channel #7 of 73 here — alongside 72 others — read 19 September 2026
Малиновые кудри @malinovue_kudri · 40,334 Telegram ranks this channel #7 of 62 here — alongside 61 others — read 30 August 2026
Anya •обо всем• @Anya_abouteverything · 24,934 Telegram ranks this channel #13 of 62 here — alongside 61 others — read 19 September 2026
Lara Krasnikova / стилист / фэшн-инфлюенсер @larakrasnikova_style · 36,206 Telegram ranks this channel #14 of 73 here — alongside 72 others — read 6 September 2026
можно присоединиться?🩵 @mozhnorita · 32,279 Telegram ranks this channel #23 of 67 here — alongside 66 others — read 8 September 2026
SVETA POLLY @svetapolly · 19,736 Telegram ranks this channel #24 of 72 here — alongside 71 others — read 25 September 2026
и просто так @writeforfriends · 28,400 Telegram ranks this channel #30 of 72 here — alongside 71 others — read 9 September 2026
Татьяна Бондарь | PRo контекст @tatyana_bondar_comms · 29,908 Telegram ranks this channel #34 of 64 here — alongside 63 others — read 10 September 2026
просто юля @yyulias4 · 30,292 Telegram ranks this channel #36 of 77 here — alongside 76 others — read 6 September 2026
не саня @iamnotsanya · 31,657 Telegram ranks this channel #46 of 65 here — alongside 64 others — read 4 September 2026
По следам эстета @po_sledam_esteta · 23,356 Telegram ranks this channel #48 of 69 here — alongside 68 others — read 26 September 2026
LIFEWITHANYA @LIFEWITHANYA · 39,214 Telegram ranks this channel #50 of 65 here — alongside 64 others — read 31 August 2026
Janeские радости @jane_koretskaya · 24,470 Telegram ranks this channel #52 of 66 here — alongside 65 others — read 23 September 2026
Косметичка Ксюши @qksenia · 23,492 Telegram ranks this channel #54 of 74 here — alongside 73 others — read 19 September 2026
AlenaBeautyMom @mama1714 · 36,969 Telegram ranks this channel #57 of 58 here — alongside 57 others — read 4 September 2026
Подружка Ю @MyTopBB · 16,865 Telegram ranks this channel #60 of 70 here — alongside 69 others — read 30 September 2026
This channel appears in 19 seed channels' Telegram-generated recommendation lists in total, of which the 18 where it ranks highest are shown above. 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“счастье, да и Таня!” (@ohwonderful), 30,883 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/ohwonderful.
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.