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Channel

НейроПсих|Патринник

@NeiroPsiPatrik

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

361subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001289489834
TypeChannel
Username@NeiroPsiPatrik
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/NeiroPsiPatrik

Growth

3613633627 August 2026 — 363 subscribers7 August 2026 — 363 subscribers15 August 2026 — 361 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net -2. 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 361–363 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 14:15361-2
7 Aug 2026, 15:06363no change
7 Aug 2026, 03:02363first reading

Engagement

10 posts held, back to 13 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.5%
avg views ÷ 361 subscribers
Avg views / post
48.8
8 posts measured
Reaction rate
9.23%
reactions ÷ views · ER floor
Posts in window
8
of 10 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 3 August 2026
Posts held10 (13 July 20263 August 2026)
Views total390
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 03:02 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

56 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 41.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2341.1%
👍1323.2%
🔥1323.2%
🥰58.93%
👎23.57%

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 10 of the 10 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 56reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 13 July 2026 to 3 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

3 Aug 2026, 19:06 UTC21 views2 reactionsread 7 August 2026
Photo

Созависимость часто маскируется под любовь, заботу или долг, но если вы ловите себя на мысли, что ваше настроение полностью зависит от настроения другого, вы чувствуете ответственность за его чувства и поступки, а ваши собственные желания ушли на второй план - это повод остановиться. В моей практике я часто вижу, как за этим стоит не столько "сильная любовь", сколько страх - страх быть покинутым, страх, что без меня

1👍1

1 Aug 2026, 05:37 UTC33 views8 reactionsread 7 August 2026
Photo

Друзья, привет! 👋 В это воскресенье, 2 августа, в 12:30, мы снова с вами на связи! На этот раз мы, психологи Александр и Софья Патринник, приглашаем вас на откровенный разговор о том, как мы видим своих партнёров. Мы часто думаем, что любим реального человека. Но так ли это? Или мы любим свой образ, свои ожидания, свои фантазии о том, «каким он должен быть»? 📍 В эфире обсудим: — Почему мы надеваем на партнёра «мас

4🥰2👍1🔥1

28 Jul 2026, 17:58 UTC49 views5 reactionsread 7 August 2026
Photo

Я мать... Да, фото с моей дочерью здесь не при чём. Этот пост про мою личность в психотерапии и как ее чувствует клиент. Лет 15 назад, когда я начал своё служение в церкви в качестве дьякона, на приходе, в котором я служил, священник - мой старый товарищ, дал мне прозвище "мама". Этому поспособстаовал ряд ситуаций, в которых, как ему казалось, я проявил себя с заботой по отношению к нему. С тех пор, в узких кругах

👍31🔥1

26 Jul 2026, 16:17 UTC62 views5 reactionsread 7 August 2026

Отпуск подошёл к концу. Всё когда-то кончается - хорошее или плохое. Все уходит в прошлое, оставляя след 👣 Отдых нужен всему, природа так задумала, "И совершил Бог к седьмому дню дела Свои, которые Он делал, и почил в день седьмый от всех дел Своих, которые делал". Всё в жизни циклично и психика не одобряет стабильности, застоя, так же как и крутых поворотовй не любит. Но я знаю ее потребности, потому что я изучаю

🥰32

19 Jul 2026, 09:57 UTC68 views5 reactionsread 7 August 2026

Рекомендации коллегам - как не очароваться. Не путайте эмпатию со слиянием, наша работа - быть рядом, но не быть одним целым. Если вы чувствуете, что начинаете восторгаться коллегой до потери пульса - возьмите паузу, спросите себя: "А что я чувствую сейчас на самом деле? Чего я хочу, а чего хочет он?" - сли ответы совпадают под копирку - бегите, это не родство душ, так выглядит поглощение! Но если уж случилось (а с

🔥5

19 Jul 2026, 09:57 UTC55 views5 reactionsread 7 August 2026
Photo

Вляпался в человека как в какашку. Инструкция по отмыванию для психологов Коллеги, давайте честно - мы любим говорить про отзеркаливание, проекции, переносы, правда иногда случается такое, что вся эта красивая терминология летит к чертям, потому что ты просто вляпался. Я не боюсь этого слова! Вляпался по-крупному, в человека, а самое обидное - это не в клиента, а в коллегу, в "своего". Вот мой личный опыт. Есть лю

3👎1🔥1

17 Jul 2026, 18:15 UTC63 views16 reactionsread 7 August 2026
Photo

"Я","Оно" и отпуск Лето, пора отпусков, поездок за город на водоёмы. Вот и я отправился с семьёй в незапланированный отпуск - клиенты разъехались, кто-то на паузу поставил наши отношения, кто-то ушёл и может быть вернётся - может нет. Я не переживаю, хотя до этого сильно переживал. А переживать перестал благодаря одной из ключевых категорий китайской философии - Дзен. Это фундаментальное понятие, которое по-разному

7👍4🔥4👎1

13 Jul 2026, 14:16 UTC74 views4 reactionsread 7 August 2026

https://youtu.be/9F0ZF4p7dkM?si=7Z7-OGMPgN2FKeao

2👍1🔥1

Showing the 10 most recent of 10 posts we hold for @NeiroPsiPatrik. 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.

Citation-graph rank

Citation-graph rank — 286,372 of 1,480,975entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 1 registered channel — 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.

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

“НейроПсих|Патринник” (@NeiroPsiPatrik), 361 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/NeiroPsiPatrik.

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.