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Channel

ПСИхическая

@lg_psych

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

9,377subscribers

-110 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001745723570
TypeChannel
Username@lg_psych
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/lg_psych

Topic

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 48% 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

9,3779,4879,4327 August 2026 — 9,487 subscribers7 August 2026 — 9,487 subscribers7 August 2026 — 9,485 subscribers10 August 2026 — 9,476 subscribers14 August 2026 — 9,469 subscribers17 August 2026 — 9,456 subscribers20 August 2026 — 9,448 subscribers24 August 2026 — 9,440 subscribers27 August 2026 — 9,430 subscribers30 August 2026 — 9,419 subscribers2 September 2026 — 9,408 subscribers7 September 2026 — 9,400 subscribers11 September 2026 — 9,389 subscribers15 September 2026 — 9,377 subscribers7 August 202615 September 2026
14 measurements spanning 39 days, net -110. 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 9,361–9,504 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 09:189,377-12
11 Sept 2026, 12:559,389-11
7 Sept 2026, 00:169,400-8
2 Sept 2026, 14:279,408-11
30 Aug 2026, 05:059,419-11
27 Aug 2026, 08:379,430-10
24 Aug 2026, 04:369,440-8
20 Aug 2026, 22:439,448-8
17 Aug 2026, 12:069,456-13
14 Aug 2026, 11:589,469-7
10 Aug 2026, 17:229,476-9
7 Aug 2026, 22:009,485-2
7 Aug 2026, 09:459,487no change
7 Aug 2026, 09:399,487first reading

Engagement

19 posts held, back to 11 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.23%
avg views ÷ 9,377 subscribers
Avg views / post
303
2 posts measured
Reaction rate
9.90%
reactions ÷ views · ER floor
Posts in window
2
of 19 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
WindowRolling 30 days · latest post in window 27 August 2026
Posts held19 (11 June 202627 August 2026)
Views total606
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:23 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.

Reaction mix

488 reactions across 19 posts, in 20 distinct kinds. The most used accounts for 30.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14830.3%
😁9519.5%
🤣6813.9%
💯5110.5%
😢306.15%
💔295.94%
😱153.07%
🤯112.25%
👍91.84%
👌61.23%
🕊61.23%
👎40.82%
🔥30.615%
😐30.615%
🤔30.615%
👀20.41%
🤝20.41%
10.205%
😭10.205%
🥰10.205%

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 19 of the 19 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 488 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 11 June 2026 to 27 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.

Recent posts

26 Aug 2026, 12:21 UTC334 views33 reactionsread 29 August 2026
Photo

☕️ Страшная история первой пациентки Фрейда Эммы Экштейн. Она обратилась с жалобами на депрессию и нерегулярные болезненные менструации. Фрейд диагностировал истерию, а так как он считал, что любые неврозы имеют сексуальное происхождение, то он весьма быстро связал ее боли с детской мастурбацией. Но тут вмешался его близкий друг Флисс- врач отоларинголог. Флисс как раз считал, что любой невроз можно объяснить био

😱15🤯115👀2

12 Aug 2026, 10:09 UTC688 views15 reactionsread 29 August 2026

☕️ Ну, видимо, рецепт Идеальной женщины от Пелевина 😉 Я, кстати, заметил интересную вещь. Когда она называет меня жирным, мне не обидно, я уже привык. Когда называет слабоумным, я тоже только посмеиваюсь. Но когда она называет меня слабоумным и жирным одновременно, я чувствую обиду. И ничего не могу с этим поделать. Кроме себя мне винить некого. Я сам выставил ей сучество на максимум – никто меня не заставлял.

10💯4🥰1

5 Aug 2026, 17:55 UTC≈1,010 views37 reactionsread 29 August 2026
Photo

Photo, posted without a caption

😁20🤣12💯5

5 Aug 2026, 08:45 UTC869 views22 reactionsread 29 August 2026

☕️ Шизоидное расстройство формируется как результат постоянного «отказа» со стороны матери. То есть, в ответ на свои потребности (тепло, удовольствие, пища, игра, общение, поддержка, да не важно какие) ребёнок получает резкий травматический отказ или постепенный накопленный отказ. Иными словами, мать не в состоянии «убедить своего ребенка спонтанными и подлинными выражениями любви, что она любит его как личность

22

21 Jul 2026, 06:11 UTC≈1,110 views33 reactionsread 29 August 2026

☕️ Анна Фрейд писала о «хронических неудачниках», чей симптом заключается в неспособности хранить свое имущество. Они постоянно теряют деньги, забывают тетради в школе, а одежду – у друзей, когда приходят к ним в гости. Она отметила два слоя идентификации, имеющих место в таких случаях. Хронические неудачники пассивно отождествляют себя с утраченными предметами (и таким образом подпитывают свое ощущение потерянно

15😢13🤔3💯2

17 Jul 2026, 12:56 UTC981 views11 reactionsread 29 August 2026

👆 Для кого этот семинар 1. Для людей из бизнеса: собственники, hr, руководители 2. Для специалистов помогающих социальных профессий: коучи, психологи, преподаватели т.д. 3. Для тех, кто интересуется психологией и хочет лучше разбираться в природе человеческих отношений Что вам даст семинар 1. Научитесь видеть психопатические черты там, где раньше просто «не понимали» поведение человека 2. Узнаете, как не стать жер

5🔥3😐3

17 Jul 2026, 12:48 UTC≈1,010 views13 reactionsread 29 August 2026
Photo

👩‍🎓 Как я люблю Высшую школу экономики, вы, наверное, уже поняли! Я из тех, кто считает, что есть ВШЭ, и есть другие вузы.. ВШЭ - это как минимум гарант самых свежих актуальных программ и лучших преподавателей Так вот! Кому интересно поподробнее узнать про психопатов? (Про нарциссов, наверное, уже все все поняли😉, теперь психопаты) 5 августа с 19:00 до 20:30 Семинар «Осторожно: психопат!» Онлайн. Как опред

👌64👎3

10 Jul 2026, 19:47 UTC913 views56 reactionsread 29 August 2026
Photo

Photo, posted without a caption

😁28💯13🤣132

9 Jul 2026, 15:59 UTC942 views36 reactionsread 29 August 2026

☕️ Дети, которые потеряли важного для них человека, • до двух или трех лет - просто чувствуют, что им недостает чего-то. Это состояние сродни чувству голода. • в возрасте двух или трех лет - ребенок способен кое-что понять о смерти – просто потому, что он наверняка видел что-то мертвое: жука, цветок или домашнее животное. Но они понимают не до конца: «Ты сказал мне, что мама не вернется, но я хочу позвонить ей по

😢1713💔6

3 Jul 2026, 17:13 UTC≈1,090 views23 reactionsread 29 August 2026
Photo

🍿 Просто прекраснейший предпоследний фильм Франсуа Озона (последний ещё не смотрела) «Что случилось осенью» Насколько же Озон гениален в повествовании «между строк». Кто хочет четких линейных ответов - точно не сюда. Причём я долго откладывала, про бабушек смотреть уж очень не хотелось 😉 Но у Озона не бывает «пресно».. Бабушки оказались бывшими проститутками.. Ненависть в отношениях мать/дочь непременно убьет

16😁61

27 Jun 2026, 07:04 UTC≈1,040 views31 reactionsread 29 August 2026
Photo

Photo, posted without a caption

🤣22👍5😁4

Showing the 12 most recent of 19 posts we hold for @lg_psych. 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“ПСИхическая” (@lg_psych), 9,377 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/lg_psych.

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.