5 measurements spanning 6 days, net +24. 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 2,341–2,373 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 18:24
2,369
+11
10 Aug 2026, 01:51
2,358
+9
7 Aug 2026, 04:03
2,349
+4
6 Aug 2026, 07:16
2,345
no change
6 Aug 2026, 07:08
2,345
first reading
Engagement
7 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
24.3%
avg views ÷ 2,369 subscribers
Avg views / post
575
7 posts measured
Reaction rate
3.40%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 5 August 2026
Posts held
7 (31 July 2026 – 5 August 2026)
Views total
4,028
Reactions total
137
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:39 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
137 reactions across 7 posts, in 11 distinct kinds. The most used accounts for 43.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
60
43.8%
custom 5429093662942339551
16
11.7%
🔥
11
8.03%
🥰
11
8.03%
custom 5319213242571061310
10
7.30%
custom 5316756345184090561
8
5.84%
custom 5429478393227811121
6
4.38%
custom 5431580199898622704
5
3.65%
custom 5316811690132663260
4
2.92%
custom 5318769563859449100
4
2.92%
custom 5316556766643776596
2
1.46%
Custom emoji. 8 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 7 of the 7 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 137reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 31 July 2026 to 5 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.
Illyustrator Yuliya Drobova kutubxonada keng ko‘lamli kollaj pannolarini yaratish an’anasiga asos soldi. Bunday ishlar o‘nlab mustaqil yechimlardan tashkil topadi. Kimdir yo‘l-yo‘l choynakni qirqib oladi, kimdir gimnastikachini parvozga yo‘llaydi, kimdir esa xo‘rozni havo shariga o‘tqazadi. Har bir shakl o‘z muallifining dastxatini saqlab qoladi, ammo boshqalari bilan yonma-yon kelgach, yangi mazmun bilan boyiydi. Sh…
Mushuklar va katta bo’lib qolgan mushukchalar allaqachon kutubxona hamjamiyatining ajralmas qismiga aylanib bo‘lgan. Ertalab ular daraxtlar soyasida dam olishadi, kunduzi amfiteatrda talabalarning uy vazifasini qanday bajarishayotganini kuzatishadi, kechki mahal esa konsertlarni tinglab, multfilmlar tomosha qilishadi.
Bugunga qadar paxmoq qo’shnilarimizning ba’zilari shu yerda o’z oilalarini topishdi. Boshqalari esa…
Ushbu hafta kutubxonada:
📍To‘garak uchrashuvlarida "Piter Pen" asarining navbatidagi bobini o‘zbek tilida o‘qiymiz, yolg‘iz timsoh Solomon bilan tanishamiz, g‘oyib bo‘lgan pirog ishini ochamiz va muzeydagi sharpa izidan tushamiz.
📍Nafis san’at ustaxonasida ranglar qarama-qarshiligi dunyosiga sho‘ng‘iymiz va bir-biriga zid ranglar yordamida yanada yorqinroq jilo kasb etadigan ijodiy ishlar yaratamiz.
📍"CIRCUIT" lab…
Kutubxonada musiqa sinfi oʻz faoliyatini davom ettirmoqda. Bu yerda musiqa maktablari oʻquvchilari uchun solfedjio va fortepiano boʻyicha qoʻllab-quvvatlovchi mashgʻulotlar o‘tiladi, shuningdek, oʻqishni endigina boshlamoqchi boʻlganlarga maslahatlar berib boriladi. Pedagog Alim Mullayev bilan birgalikda biz notalarni oʻqishni, maromni his qilishni, qoʻllarni klavishlar ustiga toʻgʻri qoʻyishni va yanada ishonchli ij…
Kuzatuvchanlik to‘garagida fotosuratchilar va rejissyorlarning ijod mahsulini muhokama qilamiz hamda “CIRCUIT” laboratoriyasida yangi kursdan o‘tamiz. “GameDev”da o‘yinlar yaratish asoslarini o‘zlashtiramiz, “Raqamli she’riyat”da “zin”lar yig‘amiz, kompyuter va raqamli savodxonlik to‘garaklarida esa texnologiyalarni o‘rganishda davom etamiz.
~~~
Обсудим работы фотографов и режиссеров в клубе насмотренности и пройде…
Kutubxonaning avgust oyidagi dasturi bilan boʻlishamiz!
To‘garaklardagi muntazam uchrashuvlar davom etmoqda: koʻp kitob o‘qiymiz, shaxmat oʻynaymiz va turli stol oʻyinlari bilan tanishamiz, shuningdek, sahna nutqi to‘garagida ovozimiz ustida ishlashni davom ettiramiz.
~~~
Делимся программой августа в библиотеке!
Регулярные встречи в клубах продолжаются: будем много читать, играть в шахматы и знакомиться с разными…
“Silk & Gold: The Magnificent Art of Costume” kitobi XIX asr milliy liboslariga har bir qismi o‘z ma’nosiga ega bo‘lgan alohida bir til sifatida qarashga undaydi.
Kitobxon noma’lum ustalar tomonidan choponlardagi zardo‘zlikda, bosh kiyimlarda va taqinchoqlardagi qimmatbaho toshlardan ishlangan naqshlarda yashirin hikoyalarni kashf etadi. Ikat yoki baxmal, gulli naqshlar yoki qat’iy geometriya — muallif Yaffa Assulin…
Showing the 7 most recent of 7 posts we hold for @acdflibrary_official. 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 — 319,664 of 1,340,412entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 2 registered channels — 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“acdflibrary” (@acdflibrary_official), 2,369 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/acdflibrary_official.
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.
