4 measurements spanning 9 days, net -56. 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 931–1,003 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 21:55
939
-55
8 Aug 2026, 18:16
994
-1
8 Aug 2026, 00:34
995
no change
7 Aug 2026, 18:43
995
first reading
Engagement
8 posts held, back to 30 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
11.4%
avg views ÷ 939 subscribers
Avg views / post
107
8 posts measured
Reaction rate
82.5%
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 7 August 2026
Posts held
8 (30 July 2026 – 7 August 2026)
Views total
858
Reactions total
708
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 00:34 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
1m 33s
Average length
19s
Measured directly from 5 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
708 reactions across 8 posts, in 11 distinct kinds. The most used accounts for 25.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
178
25.1%
👍
157
22.2%
😁
118
16.7%
❤🔥
78
11.0%
❤
63
8.90%
🎉
46
6.50%
🤩
35
4.94%
🥰
17
2.40%
👌
8
1.13%
👏
7
0.989%
😍
1
0.141%
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 708reactions 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 30 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.
#Касперро_сказал
– Да. Я сгрыз его, это адресник. Мало того: я сделал это высокотехнологично!
Просунул лапу между шеей и шнурком, растянул шнурок, дотянулся пастью до адресника и смог его оторвать
Нет, ни о чем не жалею
Нет, между нами не было личной неприязни
Да, у меня имелись скрытые мотивы – и это они мною двигали. А ещё у меня была тактика и я ее придерживался…
Новый уже на мне. И, чтобы вы знали: захочу – …
#Ланселотное
– Должен открыть вам страшную тайну: я не умею плавать
Нет, не все собаки умеют плавать. И не все собаки это любят
Я, конечно, не тону в воде, потому что бешено молочу лапами и за счет этого держусь на плаву
Но купаюсь я так: папа несет меня на ручках в воду, там отпускает и говорит, чтобы я не боялся. Какое-то время я держусь за него и настраиваюсь, а потом плыву к берегу. Там должна стоять мама и ж…
#мадам_Серокошь
– Всем привет, на связи Ириска, мадам Серокошь
Сегодня мать поймала меня на горячем: я обгрызала цветы с клубники
Они постоянно появляются, эти цветы
Я их откусываю и жую, а потом выплевываю. А мать думает: отчего они не появляются?
И поливает бедную клубнику всякой дрянью
Мне просто очень нравятся эти мелкие белые вкусные штуковины…
Чтобы мать не спалила, я легла на кусты с обкусанными цветами,…
#Касперро_работает
Путевое
Ехали намедни мы с Каспером поездом…
Пришел унылый юный проводник – классический задрот, даже другого слова не выбрать
Каспера называл исключительно «животное»
– Прошу вас поместить животное в переноску на весь путь следования…
В ответ на вопрос
«у тебя что, собаки никогда не было»
зримо содрогнулся
Начальник поезда зато не взял с нас денег за проезд – и пустил Каспера пса к себе в …
#псарня_кошарня
🔠🔠🔠🔠🔠
у Ланселота пса!
4️⃣ 🔠🔠🔠🔠
Крошка-малышка родился 4 года назад в питомнике у Любови Николаевны Шевыровой
🤩Лансюша здоров, весел и полон сил, впереди у него долгая жизнь
❤️ Бернские зенненхунды – молоссы (2 группа), но на самом деле в них очень много от овчарок. Причем – лучшего
🤩Это универсальная, комфортная для владельцев и окружающих порода собак
🤩 Они великолепно дрессируются, выполня…
#замри_В_ужасе
– Всем привет! Я Вужас кот
И я самый старший кот прайда. Мне уже 7 лет
За эти годы я перенес немало. Когда-то меня привезли в дом к матери крошечным котенком
Ну, как – привезли? Одна женщина-автогонщица доставила меня попутным грузом на спорткаре. Вы ездили в клетке на заднем сидении спорткара? Я вот ехал так через всю Москву. Эта женщина в принципе не умеет ездить медленнее 150 км в час… я думал, …
#Огонь_читос
– Я Огонёк Апельсиновна, сестра этого неугомонного, Прометея кота
Прометей большой фантазер. Он рассказывает про какой-то чёрный пакет, как он куда-то шел по мокрой траве, кричал, кого-то звал…
Видимо, мультика про Ёжика и Лошадку насмотрелся!
Я вот ничего такого не помню – просто однажды мама почему-то долго нас не кормила и я сначала плакала, а потом крепко заснула
А потом проснулась, поела – и с…
🔥40👍37😁37❤🔥15🎉15🥰15🤩7❤5
Showing the 8 most recent of 8 posts we hold for @fluffy_gang. 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 — 1,051,607 of 1,548,671entries 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
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Fluffy Gang” (@fluffy_gang), 939 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/fluffy_gang.
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.