2 measurements spanning 1 day, net +1. 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 173–174 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Sept 2026, 10:20
174
+1
3 Sept 2026, 08:15
173
first reading
Engagement
8 posts held, back to 31 August 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
33.4%
avg views ÷ 174 subscribers
Avg views / post
58.1
8 posts measured
Reaction rate
23.0%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 2 September 2026
Posts held
8 (31 August 2026 – 2 September 2026)
Views total
465
Reactions total
107
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:15 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
18s
Average length
9s
Measured directly from 2 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
107 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 35.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5429103665921148544
38
35.5%
custom 5429536963696805359
17
15.9%
custom 5429351167706547656
16
15.0%
custom 5429101548502271960
12
11.2%
custom 5429585325028557137
11
10.3%
custom 5431485289711289933
9
8.41%
❤
4
3.74%
Custom emoji. 6 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 are Telegram’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 8 of the 8 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 107 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 31 August 2026 to 2 September 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.
Первый день ММКЯ!💓
❣️Получила книгу от девочек из Freedom за ответ на вопрос. Очень давно хотела именно ту книгу, которую получила! «Точно не влюблена» от Дженни Проктор.
❣️Далее целенаправленно шла к Trendbooks за новеллами от Алёны Черничной «Это не серьезно» и Даны Делон «Теория вероятности».
❣️Саша Питер и Лия Джей подарили арты по своим книжкам! 😭🔥
❣️После этого просто гуляли с ребятами по ярмарке, встречалась …
Все любимые книжные мужчины на стенде D10E7 🤩
Также не забывайте, что на ММКЯ у нас действует акция: при покупке двух книг на вторую — скидка 50% 🫶
Подробнее о ярмарке — mibf.info. Вход по билетам.
С завтрашнего дня начинается ММКЯ.💛
С 2 по 6 сентября в Гостином дворе проходит книжная ярмарка.
Я их обожаю! Всегда есть какие-то новинки, которых ещё нет в магазинах, встречи с авторами и со знакомыми из книжного мира.
💛Взяла билет на все дни, знаю точно, что буду 4 и 5 числа. В остальные дни, может быть, забегу проверить, что да как там вообще.💛Пишите кто когда будет!
http://mibf.info/
Всех с первым днём САМОГО ЛУЧШЕГО времени года и Днём знаний! Как же хорошо, что мне больше не нужно в школу)🌟
Осень… Как же я её люблю! Буду стараться как можно больше читать осенних историй, чтобы в полной мере ощутить ВАЙБ.🍂🧡
Вчера была на концерте своего САМОГО любимого артиста. Уже третий год подряд провожаем лето в его компании. Люблю его настолько сильно, что правда сложно описать словами. Слушаю и восхищаюсь его творчеством с 2013 года…Десятки его песен связаны с абсолютно разными моментами в моей жизни, с людьми, с книгами. Как, к примеру, песня «Когда исчезнет слово» ассоциируется с «Калабрийским королём» Исы Белль… 🥺
М.🫂❤️
Showing the 8 most recent of 8 posts we hold for @amlabookesnt. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 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 4 September 2026 — this
entry's latest reading, not the date you are reading this.
“О книгах с Алёнкой🩷” (@amlabookesnt), 174 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/amlabookesnt.
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.
