Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
11 measurements spanning 11 days, net -1,076. 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 99,574–100,972 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 20:45
99,735
-139
15 Aug 2026, 13:06
99,874
-119
14 Aug 2026, 01:47
99,993
-147
12 Aug 2026, 23:04
100,140
-76
11 Aug 2026, 23:12
100,216
-104
11 Aug 2026, 02:02
100,320
-148
10 Aug 2026, 00:51
100,468
-70
8 Aug 2026, 23:51
100,538
-63
7 Aug 2026, 23:07
100,601
-120
6 Aug 2026, 22:33
100,721
-90
6 Aug 2026, 01:33
100,811
first reading
Engagement
15 posts held, back to 16 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 25 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
38.5%
avg views ÷ 99,735 subscribers
Avg views / post
38,400
13 posts measured
Reaction rate
3.24%
reactions ÷ views · ER floor
Posts in window
13
of 15 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 15 August 2026
Posts held
15 (16 July 2026 – 15 August 2026)
Views total
499,400
Reactions total
16,165
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
16 Aug 2026, 20:22 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 46s
Average length
27s
Measured directly from 4 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
18,244 reactions across 15 posts, in 28 distinct kinds. The most used accounts for 52.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
9,631
52.8%
custom 5472010294718904121
3,629
19.9%
🔥
1,195
6.55%
custom 5202018789247430212
1,141
6.25%
❤🔥
875
4.80%
🤩
425
2.33%
💩
405
2.22%
💘
359
1.97%
👍
113
0.619%
👎
103
0.565%
🍓
92
0.504%
😭
58
0.318%
💋
34
0.186%
🥰
34
0.186%
🥱
30
0.164%
😐
18
0.099%
🤨
15
0.082%
🎉
14
0.077%
🏆
14
0.077%
👏
14
0.077%
8 further kinds
45
0.247%
Custom emoji. 2 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 15 of the 15 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 18,244reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 16 July 2026 to 15 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.
Эксклюзивная шикиши от Saikono в «Двадцать Восьмом» ! 🐰
Шикиши — это традиционная японская плотная бумажная доска на картонной или жесткой основе, обрамленная по краям золотистой или серебристой фольгой. В Японии на них пишут картины тушью, иероглифы и автографы, а в поп-культуре это популярный коллекционный мерч с принтами аниме и игр.
Именно в таком необычном формате картина пополнила витрину с редкостями магазин…
Катю и Мотоко Кусанаги озвучивала Ева Финкельштейн
Катя запала в душу многим игрокам, но именно озвучка Евы Финкельштейн подарила ей ту самую искру харизмы. Если вы следите за новинками в мире аниме, то могли слышать её голос в новых сериях «Призрак в доспехах», где Ева озвучила главную героиню майора Мотоко Кусанаги в официальной озвучке от DEEP.
Пишите, в каких ещё проектах вы слышали её голос! 🍓
P.S. Кстати, се…
Saikono в Екатеринбурге на фестивале ГикКон 2026
Вы просили и вас услышали ❤️ Художник и разработчик игры «Зайчик» приедет на ГикКон 2026. Вход бесплатный для всех! 🤩
Целый день Saikono будет находиться на стенде ЖарМерча фотографироваться и раздавать автографы всем желающим! Приходите со своим экземпляром манги, а если у вас его нет, то можно купить на месте, как и другой мерч по игре.
А в «Летнем ГикТеатре» Saik…
Ирина Киреева в роли Ромы и Мин Ли из мультфильма Pixar «Я крснею».
Школьного хулигана Ромку Пятифанова в игре озвучила актриса Ирина Киреева, которая также принимала участие в озвучке полнометражного мультфильма Pixar «Я краснею», где она озвучила маму главной героини Мин Ли. Так одной и той же актрисе удается мастерски озвучивать персонажей разного пола, возраста и характера.
Какие самые узнаваемые фразы Ромки и…
В атмосферном, молодёжном пространстве, в стиле токийского района Акихабара - «Лофт Проект Этажи» притаился «Зайчик». Если вы пробегаете мимо, то забегайте в Полкиус . Там у нас арендована полочка и находится официальные товары по игре.
Внимание! Полочка с «Зайчиком» переехала на новое место. Ищите стеллаж 56.2
📍Санкт-Петербург, Лиговский проспект, 74, этаж 0
«Полкиус» полка 56.2
Ещё одна полочка арендована в том …
💮 Поставь печать с Катей в магазине "Двадцать Восьмой".
В Санкт-Петербурге продолжается одно из самых необычных хобби «Культурный блокнот». Идея достаточно проста, вы посещаете разные места города и ставите штамп в свой блокнот. Изначально официальных площадок было всего около 20, но сейчас штампы можно найти уже более чем в 180 локациях.
Помните, что мы вам рассказывали, что у нас есть своя печать с Катей? Её до с…
Винди жарит для Кати котлетки и картошечку. У вас получилось приготовить, чтобы ничего не подгорело?
Как вам в общем идея такого рода взаимодействия в игре?
✨ Новости по ребилду ✨
А вот и он! Триста, триста… встречайте тракториста. Полюбуйтесь это наш новый персонаж, тот самый тракторист, намотавший не один круг, вокруг посёлка! Теперь он не просто маячит где-то за кадром вдалеке, а заявляется собственной персоной. Так что игра, стала ещё объёмнее.
Что он будет делать и на что повлияет, рассказывать я пока что не собираюсь. Всё узнаете, когда сами поиграете.
📝 А пока …
У кого ютуб ещё работает? Судя по просмотрам у многих 😆
Так что делимся некоторыми видео от Xtrphy
▶️ Очень душевное видео музыка отлично подходит и создаёт настроение к окончанию игры
▶️ Клип на песню Жанульки «Стреляй»
▶️ А может погуляем после уроков?
Если понравится, гляньте и другие видео у автора
А вы знали, что легендарный Андрей Ярославцев, подаривший голос Харитону, также озвучивал Золтана Хивая в игре «Ведьмак 3»? Пишите где вы ещё слышали голоса из «Зайчика».
Showing the 12 most recent of 15 posts we hold for @TinyBunny_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.
Posts edited after publishing
@TinyBunny_official edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
16 August 2026
Most recent edit
16 August 2026
Citation-graph rank
Citation-graph rank — 46,830 of 1,481,243entries 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 7 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@TinyBunny_official named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@reflexiart named in 4 posts, 8 August 2026 – 13 August 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Metalfamily официальный канал @metalfamily_news · 222,467 Telegram ranks this channel #31 of 70 here — alongside 69 others — read 11 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Зайчик (игра)(ru.wikipedia.org) “…продолжением приквелом после выхода пятого эпизода игры{{Cite web|url=https://t.me/TinyBunny_official/1537|title=Мы взяли эксклюзивное интервью у разработчиков…” read 16 August 2026
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.
“Tiny Bunny News🐰” (@TinyBunny_official), 99,735 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/TinyBunny_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.