Other / unclassifiable — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 76% 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
63 measurements spanning 94 days, net -1,790. 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 78,497–80,824 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
8 Nov 2026, 16:37
78,765
-38
7 Nov 2026, 10:38
78,803
-27
6 Nov 2026, 10:11
78,830
-11
5 Nov 2026, 12:38
78,841
-20
4 Nov 2026, 11:26
78,861
-29
3 Nov 2026, 11:59
78,890
-24
2 Nov 2026, 10:49
78,914
-9
1 Nov 2026, 09:04
78,923
-29
31 Oct 2026, 07:27
78,952
-23
30 Oct 2026, 07:10
78,975
-41
29 Oct 2026, 04:00
79,016
-27
28 Oct 2026, 00:48
79,043
-41
27 Oct 2026, 00:46
79,084
-29
25 Oct 2026, 23:27
79,113
-32
25 Oct 2026, 01:17
79,145
-31
24 Oct 2026, 01:17
79,176
-26
22 Oct 2026, 22:56
79,202
-28
21 Oct 2026, 22:27
79,230
-45
20 Oct 2026, 15:06
79,275
-19
19 Oct 2026, 16:50
79,294
first reading
Engagement
115 posts held, back to 1 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 192 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.73%
avg views ÷ 78,765 subscribers
Avg views / post
5,300
30 posts measured
Reaction rate
7.34%
reactions ÷ views · ER floor
Posts in window
30
of 115 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 8 November 2026
Posts held
115 (1 July 2026 – 8 November 2026)
Views total
158,940
Reactions total
11,661
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 21:27 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
≈1,050
Videos
≈93
Links
≈164
Lifetime counters from Telegram’s own channel header, read 8 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.
Video runtime
3m 13s
Average length
21s
Measured directly from 9 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
46,769 reactions across 113 posts, in 22 distinct kinds. The most used accounts for 47.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
22,252
47.6%
🔥
5,080
10.9%
🤣
3,949
8.44%
💯
3,866
8.27%
😁
3,180
6.80%
👍
2,810
6.01%
😢
1,385
2.96%
💔
1,019
2.18%
🥰
865
1.85%
❤🔥
606
1.30%
😱
578
1.24%
🤝
391
0.836%
👏
332
0.71%
🎉
190
0.406%
🤩
127
0.272%
👻
100
0.214%
🤓
11
0.024%
💘
9
0.019%
🏆
8
0.017%
😘
7
0.015%
2 further kinds
4
0.009%
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 115 of the 115 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 46,769 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 115 most recent posts we hold, published 1 July 2026 to 8 November 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: 11 of 30 posts held from the last 30 days (36.7%) 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).
Немного полевых заметок о нашем отдыхе в Турции:
Сегодня идём делать вторую прививку от бешенства. Придётся проходить целый - курс - Нину на пляже поцарапала кошка. Наверное, это было предсказуемо - в Турции миллион кошек, а Нина их обожает. При этом, я в детстве раз сто была поцарапана уличными кошками и конечно, ни у кого и мысли не было ставить прививки. Но времена изменились, а вместе с ними и мы - стали более …
В "Идиоте" Достоевского шедеврально описаны два социотипа - Гамлет (Настасья Филипповна) и Достоевский (князь Мышкин). Ни один соционик в мире не покажет эти типажи глубже чем великий писатель.
Особенно ослепителен и страшен образ Настасьи Филлиповны - здесь Гамлет не обычный, а надломленный, кровоточащий, травмированный, но верный своей природе - не живущий, а играющий в жизнь. Надо принять решение? Орел или решка?…
Отдых на остывающем ноябрьском море - удовольствие не для всех. Вот я, малодушный Дон Кихот, стоя по колено в воде ежусь от холода и только слова маленькой дочки: "Мама, давай!" не позволяют мне опрометью выскочить на берег. Я нерешительно переминаюсь с ноги на ногу и веду с собой внутренний диалог до последнего сомневаясь - стоит ли окунаться? В то время, как волевые сенсорики заходят в воду без малейшего колебани…
- Муж сказал, что мне непременно надо увеличить грудь, плакала в трубку подруга Надя. - А я боюсь, это же больно.
- А зачем ему, чтоб ты исправляла грудь? удивилась я. - Он же тебя полюбил с твоим вторым размером.
- Ну он эстет, понимаешь. Меня любит, а моя грудь его, по его словам перестала возбуждать. Вобщем, буду думать.
Грудь у Нади красивая, просто маленькая. Есть мужчины, которым большой размер важен. Помню, …
Несколько фото из нашего путешествия по Анталии. Маленькие от всего в восторге, пожилые по любому поводу брюзжат, а я просто наблюдаю.
Здесь много животных, особенно кошек. Дочка любит их гладить, кормит. Но недавно я видела, как она сознательно наступила на муравьишку, который тащил соломинку в свой домик. Меня очень это расстроило. И теперь каждое наше утро начинается с того, что мы с Ниной собираем бесчисленных …
Вчера ездили на водопад и я вспомнила свою уборщицу Алёну. Эта удивительная девушка, которая в свободное от уборки квартир время путешествует по всему миру - от Зимбабве до Шанхая. И вот, когда я оплачивала её работу - Алёна каждый раз говорила: "Спасибо, на эти деньги я увижу водопад", "Спасибо, этого мне хватит на экскурсию в старый замок с привидениями", "Эту сумму я отложу, чтобы побывать на сафари в заповеднике…
С интересом посмотрела Клаву Коку у Ксении Собчак. И с ещё большим интересом прочитала комментарии: "Как скучно! Даже рекламу смотреть интереснее!", "Какая она пластиковая и наигранная".
А вот мне Клава не показалась ни скучной, ни наигранной. Наоборот, мне очень понравилось, что кто-то напомнил о ценностях, забытых современным обществом. Что "уводить чужого партнёра - это дно". Как редко это стало звучать, как час…
Писатель с которым у меня самые сложные отношения, как ни странно, Достоевский. Долгое время моё знакомство с ним ограничивалось "Преступлениеи и наказанием", прочитанным ещё в школе. Далее много раз я пыталась читать ФМ, но ни одна его книга мне не заходила - мне было скучно
Был даже курьезный случай, я нашла на даче книгу Достоевского, начала вдруг (к собственному удивлению) с интересом читать, но выяснилось, чт…
❤211👍58🥰25🔥23😱1
Signed олеся
Showing the 12 most recent of 115 posts we hold for @vse_o_socionike. 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
@vse_o_socionike 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
15 August 2026
Most recent edit
15 August 2026
Posts recorded as deleted after publishing
We recorded 3 posts on @vse_o_socionike as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
27 September 2026
Most recent seen missing
24 October 2026
Median time before seen missing
25 hours
Seen missing in the last 30 days
2
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.
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 18 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.
Vselennaya @vselen_naya1 · 116,603 Telegram ranks this channel #18 of 87 here — alongside 86 others — read 24 August 2026
sola_monova @sola_monova · 65,234 Telegram ranks this channel #20 of 76 here — alongside 75 others — read 21 August 2026
5 умных мыслей @worldthought · 175,006 Telegram ranks this channel #22 of 77 here — alongside 76 others — read 12 August 2026
Настя Колсанова @kolsanovanastia · 83,761 Telegram ranks this channel #28 of 71 here — alongside 70 others — read 18 August 2026
Ирина Лилло @irina_lillo · 93,033 Telegram ranks this channel #29 of 81 here — alongside 80 others — read 16 September 2026
Анна Кирьянова: эссе о жизни и любви @av_kiryanova · 80,587 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 18 August 2026
НАПРАВЛЕНИЯ @dmitry_lukyanchuk · 123,820 Telegram ranks this channel #36 of 82 here — alongside 81 others — read 14 August 2026
Необычные путешествия @mikearoundtheworld · 151,064 Telegram ranks this channel #36 of 76 here — alongside 75 others — read 14 August 2026
Собачий Потрох @sobachkyn_potroh · 47,398 Telegram ranks this channel #39 of 70 here — alongside 69 others — read 26 August 2026
Наталья pro_knigi_kino @pro_knigi_kino · 36,222 Telegram ranks this channel #42 of 79 here — alongside 78 others — read 1 September 2026
Кристина Бошчех @bo_kris · 63,182 Telegram ranks this channel #43 of 79 here — alongside 78 others — read 24 August 2026
Эля_апреля @elyaaprelya · 42,509 Telegram ranks this channel #46 of 62 here — alongside 61 others — read 3 October 2026
mariiarichard @mariiarichard · 22,026 Telegram ranks this channel #46 of 72 here — alongside 71 others — read 21 September 2026
Ira_khay @ira_khay · 45,271 Telegram ranks this channel #49 of 71 here — alongside 70 others — read 20 September 2026
Историк в телефоне @history_doronina · 48,985 Telegram ranks this channel #54 of 77 here — alongside 76 others — read 25 August 2026
неНумерология с Перцевой @ne_numerolog · 21,036 Telegram ranks this channel #58 of 82 here — alongside 81 others — read 24 September 2026
Александр Толмачёв @detlektor · 82,603 Telegram ranks this channel #62 of 87 here — alongside 86 others — read 18 August 2026
ARINA SHUMAKOVA @arina_travels · 87,448 Telegram ranks this channel #70 of 76 here — alongside 75 others — read 17 August 2026
Неудобный психолог @mamaterapia · 60,851 Telegram ranks this channel #71 of 82 here — alongside 81 others — read 22 August 2026
UletimRU - о путешествиях и не только @uletimru · 41,462 Telegram ranks this channel #76 of 77 here — alongside 76 others — read 29 August 2026
Resto_ray | Рецепты от шефа @resto_ray · 96,041 Telegram ranks this channel #80 of 81 here — alongside 80 others — read 16 August 2026
Шура-док @schura_doc · 25,346 Telegram ranks this channel #86 of 94 here — alongside 93 others — read 18 September 2026
ДОКТОР АБАКУМОВ @drabakumof · 144,315 Telegram ranks this channel #86 of 87 here — alongside 86 others — read 12 August 2026
Доктор Афинская @liza_afinskaia · 71,894 Telegram ranks this channel #87 of 89 here — alongside 88 others — read 20 August 2026
This channel appears in 24 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Vse_o_socionike” (@vse_o_socionike), 78,765 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/vse_o_socionike.
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.