3 measurements spanning 8 days, net -6. 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 158–166 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 20:43
159
-6
8 Aug 2026, 16:16
165
no change
8 Aug 2026, 04:15
165
first reading
Engagement
5 posts held, back to 2 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
36.5%
avg views ÷ 159 subscribers
Avg views / post
58.0
1 post measured
Reaction rate
17.2%
reactions ÷ views · ER floor
Posts in window
1
of 5 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 22 July 2026
Posts held
5 (2 July 2026 – 22 July 2026)
Views total
58
Reactions total
10
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 16:16 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
73 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 34.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5467659295279584578
25
34.2%
custom 5265094769150822081
17
23.3%
custom 5413435577980710539
17
23.3%
❤
14
19.2%
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 5 of the 5 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 73reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 2 July 2026 to 22 July 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.
в приступе невыносимой жажды по Мураками, в связи с выходом его новой книги, до которой я не знаю, когда доберусь, я беру «1Q84».
когда-то очень давно я уже начинала её читать, но так и не закончила. закончу ли сейчас? как знать. совмещать «Войну и мир» с другими книгами сложно, так что это, скорее всего, минутная слабость.
—А когда пишешь, - продолжил он,- ты при помощи слов подстраиваешь окружающие пейзажи под се…
дочитала второй том “Войны и мира” 😭
боже, неужели нужно было прочитать половину книги, чтобы втянуться настолько, что теперь невозможно оторваться?? серьёзно?
надеюсь, темп повествования уже не замедлится, потому что под конец второго тома произошло настолько неожиданное событие, что я до сих пор в шоке.
а кто в итоге с кем будет— вообще отдельный вопрос.
отсутствуют книжные фотографии, зато вся лента в фруктах и тёплых воспоминаниях о посиделках и долгих разговорах🩵
однако, несмотря на отсутствие книжных фотографий, мне осталось дочитать всего 30 страниц до конца второго тома. а это значит, что 50% «Войны и мира» уже позади!
если честно, я в шоке от того, насколько интересно стало читать к концу второго тома. сколько здесь любовных интриг, сколько чувств, сколько с…
ну не складываются у меня мысли в предложения. почти дочитала второй том (из четырёх) Войны и мира, но до сих пор не могу сказать ничего толкового. приходят только мысли вроде: «хм, интересно» или «блин, что-то скучно». и всё.
философствовать с этой книгой у меня пока не получается. может, дело в слишком жарком лете за окном, а может, в самой книге, такой неторопливой и постепенно раскрывающейся.
все персонажи прох…
за время моего небольшого исчезновения я успела переехать в новую квартиру, провести фотосессию (6-е фото!), сходить на выпускной к подруге, намотать десятки километров по городу и немного утонуть в работе.
поэтому читать времени почти не оставалось.. но теперь очень хочется вернуться в привычный ритм и продолжить рассказывать вам о «Войне и мире».
Showing the 5 most recent of 5 posts we hold for @potystoronyknigi. 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 — 652,895 of 1,565,402entries 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.
Declared links
3 URLs this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association— we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“по ту сторону книги” (@potystoronyknigi), 159 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/potystoronyknigi.
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.
