21 measurements spanning 23 days, net +154. 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 10,315–10,618 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
30 Aug 2026, 01:55
10,507
+157
28 Aug 2026, 22:47
10,350
-4
27 Aug 2026, 22:55
10,354
-13
27 Aug 2026, 01:04
10,367
-24
26 Aug 2026, 02:43
10,391
-22
25 Aug 2026, 02:16
10,413
-13
23 Aug 2026, 13:49
10,426
-32
21 Aug 2026, 20:56
10,458
-10
19 Aug 2026, 20:52
10,468
-12
18 Aug 2026, 18:34
10,480
-18
17 Aug 2026, 17:35
10,498
-13
16 Aug 2026, 15:35
10,511
-26
14 Aug 2026, 21:57
10,537
-30
13 Aug 2026, 10:07
10,567
-5
12 Aug 2026, 10:33
10,572
-11
11 Aug 2026, 08:22
10,583
+33
10 Aug 2026, 10:01
10,550
+48
9 Aug 2026, 07:12
10,502
+39
8 Aug 2026, 05:46
10,463
+110
7 Aug 2026, 01:45
10,353
first reading
Engagement
43 posts held, back to 29 April 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 42 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
13.2%
avg views ÷ 10,507 subscribers
Avg views / post
1,390
31 posts measured
Reaction rate
3.63%
reactions ÷ views · ER floor
Posts in window
31
of 43 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 29 August 2026
Posts held
43 (29 April 2026 – 29 August 2026)
Views total
43,108
Reactions total
1,564
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 15:14 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
7s
Average length
7s
Measured directly from 1 video 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
3,713 reactions across 43 posts, in 14 distinct kinds. The most used accounts for 35.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,316
35.4%
💘
1,155
31.1%
💋
285
7.68%
🙏
269
7.24%
❤🔥
195
5.25%
🍓
153
4.12%
✍
85
2.29%
⚡
67
1.80%
🆒
65
1.75%
🔥
40
1.08%
💯
32
0.862%
🐳
28
0.754%
🎉
12
0.323%
💅
11
0.296%
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 43 of the 43 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 3,713reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 29 April 2026 to 29 August 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
36
across the posts below
Posts paid on
12
of 43 we hold a reading for · 28%
Most on one post
7
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @wmstudy. 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 43 most recent posts we hold for this entry, published 29 April 2026 to 29 August 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.
🌟🌸 мои «никогда и ни за что»
⚪️никогда не позволять стыду мешать себе проявляться
⚪️не позволяйте страху осуждения прятать вашу личность и желания, никогда не держаться за иллюзии
⚪️никогда не зацикливаться на одной точке зрения, слушайте разные мнения. это расширяет картину мира и помогает становиться мудрее
⚪️никогда не считать чужие победы незаслуженными,
чужой успех не угрожает вашему. мы не всегда видим, скольк…
Sweetie English — комфортный уголок для изучения английского
от преподавательницы с подтверждённым уровнем C1🤗
В канале тебя ждут:
📌 уютные посты и материалы на основе разных фандомов (в том числе те, которые я использую на своих уроках)
📌разборы песен, клипов и культурных событий
📌объяснение сложной грамматики простым языком
Я до сих пор помню, как одна из моих учениц в самом начале сказала:
“I’m surprised Engl…
Ты тоже любишь учиться в наушниках? 🎧
Теперь можно учиться под самую комфортную музыку, идеально подходящую под твоё грустное настроение..
🎧 Осенние треки для вечерней учёбы: t.me/lofi_girl
🌟𝐑𝐀𝐈𝐍𝐘 𝐃𝐀𝐘 𝐈𝐍 𝐍𝐄𝐖 𝐘𝐎𝐑𝐊 — твой золотой билет в мир глянца и светской хроники 🤩🤩
🫀🤍этот канал откроет тебе доступ к эксклюзивам модных дорожек, жизни любимых селебрити и последним глянцевым новостям Голливуда 🤩
🌟 watch, read, admire 🌟
🤩 Ваш английский лучше, чем вы о нем думаете!
Но полезные материалы так сложно искать, а мотивация пропадает к середине недели…👀
В канале Kaybree собрано все, чтобы язык учился сам собой
🤍материалы, которые выглядят как лента в Pinterest
🤍возможность индивидуального обучения с самым быстрым прогрессом с домашним заданием на интерактивной платформе
🤍учим новые слова и грамматику из сериалов, тик тока и даже перепис…
🌟🗒️❤️ хобби, которые развивают интеллект, вкус и внутреннюю глубину
⚪️коллекционирование идей: не вещей и не фотографий, а идей! записывайте интересные арт и бизнес-концепции, жизненные принципы, зацепившие фразы, наблюдения и закономерности
⚪️изучение того, как создаются вещи: парфюмерия, производство кофе, биографии великих деятелей, архитектура, кино, дизайн автомобилей, высокая мода
⚪️ревью разговоров с людьми: …
🤩овет дня: если хотите повстречаться с абьюзером, просто поиграйте в «Клуб романтики» или почитайте даркроманс, и тогда не захочется тащить домой что попало 🤷♀️
⭐⭐⭐⭐⭐
⭐⭐⭐⭐⭐Привет, меня зовут Мария, я психолог и админка канала «Психологиня Мария Мишкевич», и в своём блоге я рассказываю:
📌о том самом хорошем парне из «Обсессии»
📌почему мы выбираем эмоционально холодных партнеров
📌почему нельзя думать о себе плохо
П…
☕️☕️держи подборку каналов,
☕️☕️которые хочется сохранить
• Language on my mind – психолингвистика и живой взгляд на языки
• Anne with an E – атмосфера иностранных языков с пользой, мемами и вдохновением
• Sport’amie – спортивное медиа для девушек
• Бьюти Ведьма – лайфхаки поддержания молодости и красоты
• Психосоматика с Марго – тело говорит – просто научись его слушать
• Рonglish английский – мемы, музыка, ки…
🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩
Я Emily репетитор английского, и я живу в Канаде! 🤩
Если вам хочется заниматься с бережным и поддерживающим человеком и при этом чувствовать себя комфортно, пишите мне @emisachi
Первое пробное занятие – в подарок
А если вы хотите узнать больше о далёкой и загадочной стране красных клёнов, заглядывайте ко мне на канал!
🤩Там вы найдёте мои маленькие путешествия, заметки о жизни в Канаде и заодно сможете…
안녕🩷
Я Арина - востоковедка, филолог, корееведка и преподавательница корейского языка 🐚🤩🤩
Я живу в Питере и в моем маленьком и уютном блоге делюсь;
✨моей жизнью и преподавательскими буднями
✨полезными советами по изучению языка и подготовке к топику
✨полезные фразы, пословицы, корейский слэнг
✨своим опытом учебы и жизни в Сеуле, путешествием по Корее
✨полезной информацией о корейской культуре и менталитете, делюсь св…
🛐🇺🇸как выучить английский за 3 месяца: не банальные советы
⚪️открываем «подслушано» для рандомной американской школы, прокачиваем аккаунт и общаемся с американцами 24/7
⚪️находим хорошего, опытного репетитора + дополнительно час практики каждый день без репетитора
⚪️заводим блокнот, где будем писать только на английском (сами! без полноценной помощи переводчика): есть оочень много интересных тем, которые можно разоб…
💘93❤14✍6❤🔥2💋2🙏1🆒1
Showing the 12 most recent of 43 posts we hold for @wmstudy. 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.
Citation-graph rank
Citation-graph rank — 324,081 of 1,626,884entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 2 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.
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.
📚 Study motivation — Мотивация к учёбе @studyhardmotivation · 41,624 Telegram ranks this channel #27 of 79 here — alongside 78 others — read 29 August 2026
planning | study | планирование | учеба @samorazvitie11 · 41,851 Telegram ranks this channel #41 of 82 here — alongside 81 others — read 29 August 2026
эстетика @estetika_x · 57,144 Telegram ranks this channel #42 of 78 here — alongside 77 others — read 23 August 2026
Твой путь к цели @aeshetic_insane · 55,778 Telegram ranks this channel #47 of 78 here — alongside 77 others — read 23 August 2026
This channel appears in 4 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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“beauty and brains” (@wmstudy), 10,507 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/wmstudy.
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.