2 measurements spanning 3 days. 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 41–43 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 17:45
42
no change
7 Aug 2026, 19:39
42
first reading
Engagement
10 posts held, back to 20 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
149.3%
avg views ÷ 42 subscribers
Avg views / post
62.7
10 posts measured
Reaction rate
13.9%
reactions ÷ views · ER floor
Posts in window
10
of 10 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
10 (20 July 2026 – 7 August 2026)
Views total
627
Reactions total
87
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 17:45 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
Photos
159
Videos
5
Links
6
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
17s
Average length
17s
Measured directly from 1 video 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
87 reactions across 10 posts, in 12 distinct kinds. The most used accounts for 29.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
26
29.9%
❤
18
20.7%
👍
9
10.3%
😁
8
9.20%
⚡
7
8.05%
🕊
6
6.90%
🤣
4
4.60%
✍
3
3.45%
💯
2
2.30%
🤩
2
2.30%
custom 5195237817571123105
1
1.15%
🤪
1
1.15%
Custom emoji. One row above is a 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 count beside it isTelegram’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 10 of the 10 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 87reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 20 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.
Интересный факт из книги: как запрет на алкоголь вызвал дефицит хлеба и приблизил революцию
В самой книге этой теме посвящено буквально два предложения, из которых я вообще не поняла логику — как введение сухого закона могло вызвать дефицит хлеба? Подробности я уже искала сама:
В 1914 году Николай II ввёл «сухой закон», чтобы избежать пьяных бунтов при мобилизации. Власти рассчитывали, что война продлится пару меся…
Кратчайшая история Советского Союза
Шейла Фицпатрик
Захотелось закрыть пробелы в знаниях, но эта книга немного разочаровала. История оказалась уж слишком «кратчайшей». Понятно, что физически невозможно впихнуть 70 лет такой сложной эпохи в покетбук на 300 страниц, поэтому текст получился очень сжатым.
При этом Шейла Фицпатрик — один из самых известных советологов, специалист по социальной истории СССР и периоду ста…
«Чужое лицо» Кобо Абэ – это довольно сложный роман, над которым я размышляю уже несколько дней, хотя сам текст как литературное произведение показался мне нудноватым.
В центре сюжета – безымянный ученый, пострадавший от несчастного случая в химической лаборатории. Получив тяжелые ожоги, он в прямом смысле теряет лицо и способность выражать эмоции с помощью мимики. Вынужденный прятать рубцы под медицинскими бинтами, …
«Выбор» Эдит Ева Эгер
Эдит Ева Эгер – выдающийся американский психолог, в юности пережившая заключение в нацистских лагерях смерти. Впоследствии она не только справилась со своей травмой, но и нашла в себе силы помогать другим. Свой главный труд, книгу «Выбор», она написала в возрасте 90 лет, и этот текст стал мощным манифестом психологической прозы о внутренней свободе и исцелении.
Эдит Эгер вызывает у меня безмер…
А эту цитату из романа я хочу разобрать отдельно:
...беспокойство по поводу смысла жизни – это роскошь, позволительная тем, кто не в полной мере ощущает себя живущим на белом свете.
Роскошь здесь — это свободное время, избыток ресурсов и возможность отстраниться, чтобы взглянуть на себя со стороны. Когда человек полностью погружен в жизнь и соприкасается с ней напрямую, у него просто не возникает вопросов о «высшем…
«Генерал мертвой армии» албанского классика Исмаиля Кадарэ – это очень тяжелая и мрачная книга о том, насколько бессмысленна и абсурдна война и какие она оставляет за собой последствия даже спустя годы.
Сюжет такой: через двадцать лет после окончания Второй мировой генерал неназванной (но легко узнаваемой итальянской) армии едет в Албанию, чтобы выкопать останки своих солдат и увезти их на родину. Но никакой велик…
Вчера побывала на очень интересной книжной движухе — называется «Книжный флоу». Хочу поделиться, потому что формат оказался суперским и довольно необычным.
Как всё устроено:
Участники собираются на одной площадке и приносят с собой книгу, которую читают прямо сейчас или только хотят начать.
📒 Презентация: Сначала можно коротко рассказать о своей книге.
📒 Чтение: Наступает полчаса тишины. Все просто сидят и спо…
🔥5⚡2🤩2
Showing the 10 most recent of 10 posts we hold for @da_blin97. 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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Да блин!” (@da_blin97), 42 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/da_blin97.
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.
