5 measurements spanning 9 days, net +36. 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 1,146–1,192 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 21:47
1,187
+9
13 Aug 2026, 04:05
1,178
+11
10 Aug 2026, 09:33
1,167
+16
7 Aug 2026, 23:46
1,151
no change
7 Aug 2026, 15:40
1,151
first reading
Engagement
20 posts held, back to 31 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
48.0%
avg views ÷ 1,187 subscribers
Avg views / post
570
20 posts measured
Reaction rate
3.77%
reactions ÷ views · ER floor
Posts in window
20
of 20 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
20 (31 July 2026 – 7 August 2026)
Views total
11,392
Reactions total
430
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:46 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.
Reaction mix
430 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 53.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
228
53.0%
🍓
58
13.5%
👍
33
7.67%
❤🔥
24
5.58%
🎉
22
5.12%
💔
19
4.42%
🔥
18
4.19%
🥰
18
4.19%
😁
10
2.33%
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 20 of the 20 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 430reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 31 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.
Новинка перевода новелла:
ПРЯМОЙ ЭФИР ИЗ ЗАГРОБНОГО МИРА
Описание:
С тех пор как человечество вступило в новую эру, Бог Смерти заскучал. Дни потекли уныло и однообразно, и тогда он решил создать хоррор-игру. Для полного погружения в игровой процесс он стал похищать «счастливчиков» из мира людей и вдобавок запустил стрим-канал, чтобы все обитатели мира призраков могли разделить с ним веселье.
Цзян Муцю — образцовый м…
Новелла: Супруг лекаря
Наш гг, гэр-охотник, помнящий свою прошлую жизнь, Е Ишу живёт со своими родителями и младшим братом. Терпя притеснения от бабушки с дедушкой. Однажды после охоты на оленя он падает в прорубь и серьезно заболевает. Его дядя в тоже время шляясь по барделям, да казино набрал долгов на 50 лянов. В итоге больного Ишу бабушка с дедушкой просто продали в дом семьи Сун как фулана.
Наш мгг, Сун Чжэньцзи…
Дочитала вчера новеллу "Настоящий молодой господин больше не притворяется"
Наш гг, Вэй Тинлань был настоящим молодым господином семьи Тао, но потерянный в детстве после возвращения во всем уступал приёмному сыну. Прожив не самую лучшую жизнь и умерев в 24, он внезапно возвращается в свои 17.
Посмотрев на семью Тао он решил: "Да ну их нахрен!"
Развернулся и ушёл.
Вэй Чуань в свои 25 сидя в инвалидной коляске с интерес…
Тройное ура!
Мой путь перевода новеллы "После того, как я пнул своего бывшего, я стал его канарейкой" подошёл к концу.
Теперь можно просто публиковать главы согласно расписанию
Читать без ожидания
#канарейка #перевожу_новеллы
Кстати... На тему.
На данный момент в оригинале 1075 глав.
Но... Главы мега короткие потому первая арка из 62 глав, стала 31. Я объединяю главы по две. Следовательно общее число смело делите на два.
#перевожу_новеллы
А вот Мин Сыхань из новеллы "После того, как я пнул своего бывшего, я стал его канарейкой" смог.
Псих конечно, но безумно влюбленный...
Это конечно не мешает нам точить для него вилы. Но честно Чжоу Нин с наказанием и сам справится в конце концов... Пес то его🤔
#канарейка
P.s. ненавижу автозамену слов😭
Кстати ребят если что, я тут в угоду обстоятельств осталась без домашнего интернета до 11.08, а мобильный за счёт постоянных угроз работает так себе. Так что буду появлять редко. Щас инет есть, но чует мое сердце весь остаток дня его не будет 😅
Я очень надеюсь что ошибаюсь
#будни
Глава 5 Глава 6
Читать без ожидания на Bllate
#канарейка #перевожу_новеллы
🍓15❤8
Showing the 12 most recent of 20 posts we hold for @angelus_de_libris. 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.
Citation-graph rank
Citation-graph rank — 884,258 of 1,548,671entries 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.
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.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Angelus de libris (архив)” (@angelus_de_libris), 1,187 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/angelus_de_libris.
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.