Photo, posted without a caption
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Channel
@nevrotikroom
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,468subscribers
+160 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001446898721 |
|---|---|
| Type | Channel |
| Username | @nevrotikroom |
| Created | 17 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 2 times, most recently 17 September 2026 |
| On Telegram | t.me/nevrotikroom |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 18:38 | 11,468 | -1 |
| 14 Sept 2026, 03:00 | 11,469 | -1 |
| 12 Sept 2026, 09:57 | 11,470 | +2 |
| 10 Sept 2026, 06:17 | 11,468 | +1 |
| 6 Sept 2026, 22:20 | 11,467 | -12 |
| 4 Sept 2026, 06:17 | 11,479 | -2 |
| 2 Sept 2026, 22:05 | 11,481 | -9 |
| 1 Sept 2026, 17:18 | 11,490 | +4 |
| 31 Aug 2026, 17:36 | 11,486 | -6 |
| 30 Aug 2026, 17:18 | 11,492 | +3 |
| 29 Aug 2026, 14:26 | 11,489 | +1 |
| 28 Aug 2026, 17:17 | 11,488 | +4 |
| 27 Aug 2026, 18:54 | 11,484 | -1 |
| 26 Aug 2026, 22:18 | 11,485 | -2 |
| 26 Aug 2026, 00:04 | 11,487 | +4 |
| 24 Aug 2026, 22:38 | 11,483 | -14 |
| 23 Aug 2026, 07:43 | 11,497 | +1 |
| 21 Aug 2026, 19:05 | 11,496 | +6 |
| 20 Aug 2026, 15:02 | 11,490 | -7 |
| 18 Aug 2026, 17:13 | 11,497 | first reading |
34 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 44 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 34 (16 July 2026 – 2 September 2026) |
| Views total | 52,540 |
| Reactions total | 5,890 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 23:52 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.
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.
24,173 reactions across 34 posts, in 3 distinct kinds. The most used accounts for 54.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5233567011958697078 | 13,185 | 54.5% | |
| custom 5463059243571617206 | 6,447 | 26.7% | |
| custom 5273715455708634839 | 4,541 | 18.8% |
Custom emoji. Every 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 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 34 of the 34 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 24,173 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 16 July 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.
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custom 5233567011958697078139custom 546305924357161720654custom 527371545570863483939
хей ха молодые 🤙🤙 всем по сваге 🚬🚬 в 18 по мск смотрим долг с прошлого стрима + крутим новые долги на киноауке твич+бусти
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сегодня чёрный день для всех крутых подростков…… мои соблазнения всем крутым подросткам…….
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балдеж маша силантьева про меня ролик сделала
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Video message, posted without a caption
custom 5463059243571617206515custom 5233567011958697078421custom 5273715455708634839174
суккаааа я умираю…..
custom 5233567011958697078315custom 546305924357161720670custom 527371545570863483943
пиздец ну вот и 29 ребята через год вместо кинообзоров уже только обзор на мазь от геморроя посоветуйте кстати заранее хорошие всем спасибо!! тачка не моя вообще хз чья не знаю зачем рядом с ней сфотался ну долбоеб
custom 5233567011958697078794custom 5463059243571617206155custom 527371545570863483996
шоу ужасов рокки хоррора уже много лет является одним из моих любимых фильмов кстати хуй знает можно ли учитывая новое законодательство о таком писать лол во многом именно этот фильм и повлиял на развитие моего канала я безумно влюбился в актерский перформанс тима карри в шоу ужасов рокки хоррора его голос звучит так словно он пытается выебать им зрителя пидорковатая вычурная жеманность (советую посмотреть фильм в …
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чатгпт говорит хороший сценарий получился А ВЫ ЖДЁТЕ НОВОЕ ВИДЕО? СТАВЬТЕ ЛАЙК ЕСЛИ ВАМ НРАВИТСЯ ЖДАТЬ НОВОЕ ВИДЕО!
custom 5233567011958697078546custom 5273715455708634839145custom 546305924357161720679
какой же человек-паук 4 охуенный фильм тупо трахайте мою попочку
custom 5463059243571617206281custom 5233567011958697078221custom 5273715455708634839120
пиздец дождался НЕ СОВСЕМ ОФИЦИАЛЬНОЙ премьеры чп не словив ни одного спойлера охуеть сейчас буду тупо смотреть + мейби маленько манструнбрировать за спойлеры все еще трахаю если что!!!!!
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Showing the 12 most recent of 34 posts we hold for @nevrotikroom. 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.
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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“комната оскорблений” (@nevrotikroom), 11,468 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/nevrotikroom.
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.