5 measurements spanning 24 days, net +4. 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 124–130 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 12:16
129
+2
11 Sept 2026, 22:39
127
+1
3 Sept 2026, 10:43
126
+1
26 Aug 2026, 04:30
125
no change
26 Aug 2026, 04:15
125
first reading
Engagement
20 posts held, back to 10 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
31.8%
avg views ÷ 129 subscribers
Avg views / post
41.0
1 post measured
Reaction rate
17.1%
reactions ÷ views · ER floor
Posts in window
2
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 25 August 2026
Posts held
20 (10 July 2026 – 25 August 2026)
Views total
41
Reactions total
7
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Aug 2026, 04:30 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
128 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 86.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
111
86.7%
🎉
6
4.69%
🔥
5
3.91%
👌
2
1.56%
🤗
2
1.56%
🤩
1
0.781%
🥰
1
0.781%
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 17 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 128 reactions 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 10 July 2026 to 25 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.
Ми дочитали її — божественну книгу айтішників «Сильмариліон». Ми абсолютно заслужено пишаємося собою та нашими неймовірними учасницями та учасниками.
Ми востаннє постраждали від засилля назв та імен, поговорили про невикористаний потенціал ельфів та вкотре підважили їхні інтелектуальні здібності. Ну не виходить у нас із ними, хоча до людей питань було не менше. От усе у них було, а їм усе мало. Ну правда: «Ось вам с…
УВАГА! Ніхто такого не передбачав і не думав, що таке станеться, АЛЕ!
Наш клуб буде перенесено на Перше вересня!
Бо вперше за 10 років я маю нагоду святкувати день народження з сім'єю, а воно в мене 2 вересня.
Дякую за розуміння!
Отже! "Гострі каблуки" обговорюємо 1 вересня о 19:00
ТАКОЖ! Останнє обговорення "Сильмариліону" відбудеться лише в неділю 23.08 об 11:00, бо в суботу я буду в дорозі.
😊😊😊
Привіт! Прийшла нагадати, про нашу книжку місяця.
Ви почали вже читати/перечитувати?
В коментарях залишу звіт з банки за цей місяць з 14.07 по 14.08. Дякуємо вам за ваші донати😋💳
Сама думка, що ми вже майже на фініші, майже дочитали «Сильмариліон», змушує колінця гордості за себе підтрушуватися в очікуванні.
Ми відбули передостаннє засідання факультативного клубу. Ми пишаємося собою.
У цій частині ми говорили про казки і міфи, про хитросплетіння наївності та епосу. Про те, ну нашо Маедросу з Маґлором через 500+ років здались ті сильмарили, коли вони навіть і не належали їм ніколи. І о так, м…
Враження від обговорення книги «Під скляним ковпаком» Сильвії Плат були подібні й до самої книги — наче прекрасно, але часом ми страждали.
Наше ставлення до головної героїні коливалось від симпатії та співчуття до пофігізму. Навіть попри те, що ми розуміли: це автофікшн, і Сильвія описує власний досвід, та все ж наші думки розділились настільки, що навіть Київ у ці дні не такий пекельно гарячий, як обговорення. Та як…
Дякуємо всім, що були з нами на обговоренні.
Наступною читаємо книжку "Гострі каблуки" Віри Агеєвої та Ростислава Семківа.
❤9🔥1
Signed Гарбузик
Showing the 12 most recent of 20 posts we hold for @imaginary_bookclub. 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.
Хто планує сьогодні бути на факультативі по "Сильмариліону"?
Я точно буду9%
Я точно не буду64%
Батя я стараюсь27%
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 20 most recent posts we hold, published 10 July 2026 to 25 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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Уявний Книжковий Клуб” (@imaginary_bookclub), 129 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/imaginary_bookclub.
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.
