3 measurements spanning 4 days, net -5. 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 3,590–3,597 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 13:52
3,591
-5
7 Aug 2026, 17:17
3,596
no change
7 Aug 2026, 17:06
3,596
first reading
Engagement
13 posts held, back to 22 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
94.0%
avg views ÷ 3,591 subscribers
Avg views / post
3,380
13 posts measured
Reaction rate
10.2%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 7 August 2026
Posts held
13 (22 July 2026 – 7 August 2026)
Views total
43,890
Reactions total
4,496
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:23 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
3m 13s
Average length
1m 04s
Measured directly from 3 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
4,496 reactions across 13 posts, in 20 distinct kinds. The most used accounts for 76.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,434
76.4%
❤🔥
328
7.30%
🔥
253
5.63%
💋
115
2.56%
💔
103
2.29%
😱
55
1.22%
💘
50
1.11%
👏
44
0.979%
😢
39
0.867%
🙏
37
0.823%
🕊
8
0.178%
🤗
7
0.156%
👎
6
0.133%
🥰
6
0.133%
👍
4
0.089%
😭
2
0.044%
🤣
2
0.044%
👀
1
0.022%
😁
1
0.022%
🤔
1
0.022%
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 13 of the 13 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 4,496reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 22 July 2026 to 7 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.
Многие уже видели это видео на офф акке Геншина, где в кадре из "Божьих границ" Дотторе лагает, хотя в оригинале такого не было.
Многие себе много чего надумали, но сильно не обольщайтесь. Во-первых, Дотторе не просто лагает, а ещё и как будто полупрозрачный на фоне остальных. И это скорее всего, что бы показать, что он как раз таки выбыл, а не то, что он вернётся. А во-вторых, это видео - всего лишь дуэт с Хойофейр,…
❄️ Снег заметает Снежную, сегодня начинается событие в Telegram!
Прежде чем отправиться в Снежную, вспомните предыдущие приключения с помощью нашего нового Telegram-бота!
✨ Правила события:
1. Поделитесь и получите подарок: поделитесь ссылкой на бота, и как только ваш друг войдёт в бот и подпишется на официальный аккаунт, вы получите промокод на Камни Истока ✨
2. Дополнительные награды: пройдите обзор сюжета или под…
Главный сборщик гнозисов упомянут в веб-ивенте 🌟
Подумать только, с момента сюжетки Сумеру прошло почти 4 года..
А Пиро Гнозис Шрёдингера символично сгорает, но учитывая, что Нахида сказала, что он пропал (а не "был уничтожен" или что-то в этом духе), то его судьба пока неизвестна и я надеюсь, это сыграет какую-то роль в будущем
Перечитала сырой вариант сценария и не вдупляю, как я так долго над ним сидела, а в итоге информация выглядит как в этом меме "раз раз и готово"😑
Давайте пока везунчиков для фона выбирать, что ли
Вы не поверите, но я всё-таки дописала пост про Эроха, Урсу, Мондштадт и всё такое прочее. Писался он на протяжении всего того времени от выхода ЗЛ Лоэна до сего дня, поэтому вполне возможно, что мысли скачут, повторяются, а что хотел донести автор - вообще непонятно, прошу меня не обессудить.
Спойлер: если вырезать оттуда все моменты "Если бы мы знали, что это такое, мы не знаем, что это такое", текста вышло бы вдво…
Я сейчас пишу сценарий по хронологии жизни Дотторе и обнаружила шок-контент интересную деталь: оказывается, буддийские термины по отношению к Дотторе применялись ещё в "Пере мудрого лекаря", то есть в версии 1.5!!!!
Там есть строчка "Даже когда учение его назвали «ересью»". В оригинале она выглядит так: 即使被贬为「邪魔外道」. Так вот, 邪魔外道 - это не просто "ересь", а оказывается устойчивое выражение буддийского происхождения. В…
В следующей версии будет две ачивки за победу над боссами Дотторе в коопе
Спасибо KyvaldaDataMine
И конечно, куда же без буддистских отсылок
1) Первая - 破邪显正 - можно перевести как «Сокрушить ложное и явить истинное». Это идиома, означающая устранение ложных взглядов и раскрытие истинного учения. Она происходит из сочинения «Саньлунь сюаньи» (《三论玄义》, «Сокровенный смысл Трёх трактатов»), написанного китайским буддий…
Добавила всю немногочисленную инфу по Дотторе из версии сикссэвен. Надеюсь, в 7.0 будут не только артефакты, но и ещё что-то вкусное, связанное с Доктором, например, в резиденции Фатуи в Глупове. А то если так подумать, то почти все локации-лаборатории Дотторе: завод автоматонов в Ли Юэ, институт ложной луны в Нод-Крае, лаборатория в Мондштадте - были доступны лишь временно во время сюжета. С одной стороны нам конечн…
❤352🔥46💘37❤🔥8🤗3💋2
Showing the 12 most recent of 13 posts we hold for @anesthess1a. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
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 13 most recent posts we hold, published 22 July 2026 to 7 August 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.
Citation-graph rank
Citation-graph rank — 173,156 of 1,350,102entries 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
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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“хехехохо” (@anesthess1a), 3,591 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/anesthess1a.
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.
