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 95% 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
60 measurements spanning 95 days, net -325. 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 10,795–11,218 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
10 Nov 2026, 08:57
10,844
-5
8 Nov 2026, 22:49
10,849
-3
7 Nov 2026, 17:56
10,852
-4
6 Nov 2026, 16:07
10,856
-3
5 Nov 2026, 12:38
10,859
-6
4 Nov 2026, 13:46
10,865
-2
3 Nov 2026, 12:56
10,867
-8
2 Nov 2026, 09:27
10,875
-1
1 Nov 2026, 12:36
10,876
-3
31 Oct 2026, 10:28
10,879
-4
30 Oct 2026, 12:08
10,883
-2
29 Oct 2026, 11:37
10,885
-6
28 Oct 2026, 11:50
10,891
-6
26 Oct 2026, 12:11
10,897
-3
25 Oct 2026, 12:37
10,900
-3
24 Oct 2026, 12:50
10,903
-2
23 Oct 2026, 12:11
10,905
-5
22 Oct 2026, 09:46
10,910
-3
19 Oct 2026, 20:44
10,913
-3
18 Oct 2026, 23:18
10,916
first reading
Engagement
8 posts held, back to 7 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.6%
avg views ÷ 10,844 subscribers
Avg views / post
1,690
1 post measured
Reaction rate
11.4%
reactions ÷ views · ER floor
Posts in window
1
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 14 October 2026
Posts held
8 (7 June 2026 – 14 October 2026)
Views total
1,690
Reactions total
192
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 21:16 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
974
Videos
556
Links
323
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
4m 38s
Average length
1m 33s
Measured directly from 3 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
1,384 reactions across 8 posts, in 30 distinct kinds. The most used accounts for 43.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
598
43.2%
👍
279
20.2%
🔥
240
17.3%
💩
69
4.99%
🤷♂
66
4.77%
🤡
21
1.52%
🤯
17
1.23%
🤣
16
1.16%
👏
9
0.65%
⚡
8
0.578%
💘
8
0.578%
🥴
8
0.578%
👾
6
0.434%
😨
5
0.361%
😱
5
0.361%
🫡
5
0.361%
🏆
3
0.217%
😁
3
0.217%
💊
2
0.145%
🗿
2
0.145%
10 further kinds
14
1.01%
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 1,384 reactions 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 7 June 2026 to 14 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.
Telegram Stars
Stars received
142
across the posts below
Posts paid on
7
of 8 we hold a reading for · 88%
Most on one post
112
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @analiz_haraktera. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 8 most recent posts we hold for this entry, published 7 June 2026 to 14 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
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).
ОБЕССИВНО-КОМПУЛЬСИВНЫЙ ТИП ЛИЧНОСТИ
Обессивно-компульсивность - это фактически способность к эффективной деятельности. Долго, упорно что-то делать, преодолевать препятствия добиваясь нужного результата.
Качество, которое появляется в человеке, если у него есть этот радикал характера - это старательность, работоспособность. В многофакторных опросниках её называют добросовестностью.
Если вы видите человека, который…
Чикатило, Сергей Головкин, Гарри Хейдинк, Даммер.
Что объединяет этих персонажей кроме того, что это маньяки?
Ни за что не догадаетесь.
Психиатрическая экспертиза всех четверых определила как носителей шизоидного расстройства личности.
О как. Уже не такие лапочки, да?
Вот, к примеру, текст экспертного заключения Головкина ссылка
Почему-то часть шизоидов уже с пограничного уровня организации начинает хотеть кром…
СВЯЗЬ СТРЕССОУСТОЙЧИВОСТИ И МЫШЦ НОГ
В мае Дженифер Лопез решила вывести в свет своего сына Максимилиана и парень неожиданно привлёк всеобщее внимание(1 фото).
Если быть точным, всех заинтересовали его ноги.
Без всякой визуальной диагностики ясно, что ребзя лютый дрыщ и ему тотально не хватает мышечной массы.
Менее очевидно то, что люди с такими ногами слабы не только телом, но и духом.
Дело в том, что мышцы ног…
СТРАННЫЙ ГОЛОС
Диафрагма(1 фото) - это большая куполообразная мышца, движения которой - это и есть наше дыхание. Во младенчестве диафрагма - самая большая мышца нашего тела, поэтому когда малыш стрессует, его диафрагма мгновенно напрягается и теряет подвижность.
Единственный способ снова нормально задышать в этой ситуации - громко заорать, заплакать. И спазм разжимается. Это как подвигать занемевшей рукой.
Вот та…
СПОСОБНОСТЬ К ВЫСШИМ ЭМОЦИЯМ
Умение определять тип характера это, конечно, хорошо, но ключевой навык это всё-таки определение уровня организации личности.
Невротик с любым типом характера будет адекватным человеком, рядом с которым комфортно и безопасно жить.
Пограничный даже с безобидными типами личности вроде тревожно-мнительного или обессивно-компульсивного - потенциальный источник неприятностей.
Один из спосо…
........Студент сидел неподвижно, опустив глаза. Он не мог уже есть. Федосья Семеновна, не привыкшая за двадцать пять лет к тяжелому характеру мужа, вся съежилась и залепетала что-то в свое оправдание. На ее истощенном птичьем лице, всегда тупом и испуганном, появилось выражение изумления и тупого страха. Ребята и старшая дочь Варвара, девушка-подросток с бледным, некрасивым лицом, положили свои ложки и замерли.
Шир…
Хороший пример эпилептоидного характера есть в рассказе Чехова "Тяжёлые люди". Приведу кусочек:
Ширяев, Евграф Иванович, мелкий землевладелец из поповичей (его покойный родитель о. Иоанн получил в дар от генеральши Кувшинниковой 102 десятины земли), стоял в углу перед медным рукомойником и мыл руки. По обыкновению, вид у него был озабоченный и хмурый, борода не чесана.
– Ну, да и погода! – говорил он. – Это не пого…
ЭПИЛЕПТОИДНЫЙ ТИП ХАРАКТЕРА
Эпилептоиды это сочетание фаллического нарциссизма и обессивно-компульсивности. Тоесть, мало того, что человек смел, склонен к гневным вспышкам и требует к себе безусловного уважения, так ещё и крайне старательный, ответственный и склонный к контролю.
Получается крайне тяжёлый персонаж, которого вы все знаете, потому что это типаж типичного российского начальника, эдакий всемогущий дирек…
👍82❤34🤣16🔥14🥴8🤓2👾1💯1
Showing the 8 most recent of 8 posts we hold for @analiz_haraktera. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
VNNV — криминал и новости @vnnva4 · 43,737 Telegram ranks this channel #44 of 70 here — alongside 69 others — read 28 August 2026
ЛУЧ | Добро и милота @luchdobro · 20,048 Telegram ranks this channel #67 of 76 here — alongside 75 others — read 26 September 2026
[Long Chik] Плохие новости, Криминальные новости @Long_Chik1 · 111,819 Telegram ranks this channel #71 of 73 here — alongside 72 others — read 14 August 2026
This channel appears in 3 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Анализ Характера | Визуальная диагностика” (@analiz_haraktera), 10,844 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/analiz_haraktera.
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.