~ кошки летают над кукушками ~
тематический канал о бедах с башкой и им сочувствующих
● поддержать: 2202206229546739
https://t.me/mentalchaos/6930
● вп/реклама/поболтать — @hopez
● предложка: @mental_chaos_bot
Created
30 November 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — 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 92% 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 the other topics.
Growth
56 measurements spanning 93 days, net -381. 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 10,145–10,640 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
7 Nov 2026, 03:21
10,202
-1
6 Nov 2026, 05:49
10,203
-3
5 Nov 2026, 03:51
10,206
-2
4 Nov 2026, 01:27
10,208
-10
3 Nov 2026, 02:09
10,218
-3
2 Nov 2026, 01:08
10,221
-8
31 Oct 2026, 22:21
10,229
-7
30 Oct 2026, 23:41
10,236
-20
30 Oct 2026, 00:20
10,256
-5
28 Oct 2026, 22:18
10,261
-4
27 Oct 2026, 20:37
10,265
-8
26 Oct 2026, 19:41
10,273
-4
25 Oct 2026, 21:15
10,277
-7
24 Oct 2026, 20:37
10,284
-7
23 Oct 2026, 23:36
10,291
-4
23 Oct 2026, 01:38
10,295
-5
22 Oct 2026, 03:17
10,300
-8
20 Oct 2026, 20:18
10,308
-7
19 Oct 2026, 16:11
10,315
-8
18 Oct 2026, 15:27
10,323
first reading
Engagement
22 posts held, back to 11 June 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 47 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.0%
avg views ÷ 10,202 subscribers
Avg views / post
1,530
1 post measured
Reaction rate
3.01%
reactions ÷ views · ER floor
Posts in window
1
of 22 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 30 October 2026
Posts held
22 (11 June 2026 – 30 October 2026)
Views total
1,530
Reactions total
46
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 09:11 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
≈17,200
Videos
≈123
Links
≈594
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
1,573 reactions across 22 posts, in 28 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
437
27.8%
💯
241
15.3%
❤🔥
135
8.58%
💔
127
8.07%
😁
117
7.44%
🥰
72
4.58%
🍌
69
4.39%
👀
64
4.07%
🤝
63
4.01%
🔥
50
3.18%
🌚
28
1.78%
👍
28
1.78%
💋
24
1.53%
💊
20
1.27%
💅
18
1.14%
😢
15
0.954%
😭
13
0.826%
🕊
11
0.699%
🤗
10
0.636%
👾
8
0.509%
8 further kinds
23
1.46%
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 22 of the 22 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 1,573 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 11 June 2026 to 30 October 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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огромное спасибо за поддержку 😘
закажи хоть мем авторский, а то капетс неловко!
(эта опция, кстати, всегда доступна ❤️)
❤43❤🔥4💊1💋1
Showing the 12 most recent of 22 posts we hold for @mentalchaos. 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.
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 3 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.
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.
Погранично-шизоидные отношения|ПШО @prlshrlinlove · 35,821 Telegram ranks this channel #15 of 49 here — alongside 48 others — read 2 September 2026
первой эякулирует бухгалтерия @buhcumlter · 36,986 Telegram ranks this channel #22 of 64 here — alongside 63 others — read 1 September 2026
Экспертошная по мемам @sarcasm_orgasm · 25,615 Telegram ranks this channel #29 of 72 here — alongside 71 others — read 13 September 2026
щас бы нaркoтеков и посмеяца @whynenarkoteki · 29,566 Telegram ranks this channel #30 of 32 here — alongside 31 others — read 7 September 2026
Сегодня я спиздила мем🐁 @today_i_stole_some_memes · 24,219 Telegram ranks this channel #37 of 53 here — alongside 52 others — read 16 September 2026
как стать девочкой-волшебницей @postmodernsoldier · 29,320 Telegram ranks this channel #40 of 55 here — alongside 54 others — read 8 September 2026
Руконожковые комиксы @eto_krivo · 34,282 Telegram ranks this channel #55 of 65 here — alongside 64 others — read 3 September 2026
Neural Machine @neuralmachine · 48,668 Telegram ranks this channel #66 of 69 here — alongside 68 others — read 26 August 2026
Нейрогороскопы @neural_horo · 47,737 Telegram ranks this channel #68 of 83 here — alongside 82 others — read 26 August 2026
Я не понимаю это смешно или уже нет!! @sashaonline · 86,185 Telegram ranks this channel #71 of 75 here — alongside 74 others — read 18 August 2026
уволено @avansanebudet · 67,101 Telegram ranks this channel #85 of 86 here — alongside 85 others — read 20 August 2026
Психиатр Онлайн @psychiatristonline · 20,773 Telegram ranks this channel #87 of 90 here — alongside 89 others — read 26 September 2026
Психиатрия & Нейронауки @psy_and_neuro · 22,537 Telegram ranks this channel #89 of 92 here — alongside 91 others — read 21 September 2026
This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“ментальный хаос” (@mentalchaos), 10,202 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/mentalchaos.
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.