4 measurements spanning 16 days, net -6. 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 510–518 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
23 Aug 2026, 12:28
511
-2
16 Aug 2026, 09:07
513
-4
8 Aug 2026, 04:03
517
no change
7 Aug 2026, 17:10
517
first reading
Engagement
20 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
23.6%
avg views ÷ 511 subscribers
Avg views / post
121
5 posts measured
Reaction rate
14.7%
reactions ÷ views · ER floor
Posts in window
5
of 20 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 3 August 2026
Posts held
20 (1 July 2026 – 3 August 2026)
Views total
604
Reactions total
89
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 04:03 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
Video runtime
3m 18s
Average length
40s
Measured directly from 5 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
390 reactions across 20 posts, in 17 distinct kinds. The most used accounts for 42.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
164
42.1%
🔥
56
14.4%
👍
37
9.49%
🤣
22
5.64%
🙏
20
5.13%
😁
19
4.87%
😢
15
3.85%
💯
14
3.59%
❤🔥
9
2.31%
😱
9
2.31%
🦄
7
1.79%
🤷♀
6
1.54%
💔
5
1.28%
👏
3
0.769%
🤝
2
0.513%
🤔
1
0.256%
🤪
1
0.256%
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 20 of the 20 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 390reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 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.
Telegram Stars
Stars received
14
across the posts below
Posts paid on
11
of 20 we hold a reading for · 55%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @add_psy. 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 20 most recent posts we hold for this entry, published 1 July 2026 to 3 August 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.
А вы знали, что наш центр реабилитационный, а не медицинский?
Это не значит, что мы лечим травами и заговорами 😄 Для серьёзных вещей у нас есть внешние врачи - психиатры, терапевты, массажисты. Это называется аутсорсинг, но по факту просто наши дополнительные супергерои 🦸
Всё начинается с психиатра-нарколога. Зависимость редко приходит одна, обычно она тащит за собой депрессию, тревожность, бессонницу или что-то по…
…Если бы жена Достоевского пришла ко мне на консультацию, я бы отправила её на группу для созависимых
Зависимость Достоевского от рулетки - факт известный. Он проигрывал всё: свои деньги, деньги любовницы Полины Сусловой, деньги, которые высылала ему жена. Проигрывался до того, что едва держался на ногах. Проигрывал в Висбадене, в Баден-Бадене, проигрывал десятилетиями, с 1862 по 1871 год и каждый раз обещал себе и …
Они готовят селёдку под шубой в белоснежных костюмах. Их дети не какают, коты не носятся по дому, они спят два часа, зарабатывают миллионы и дышат вагиной
И ты в это веришь!
Ты сидишь в соцсетях, смотришь на идеальные жизни, где всё вылизано до блеска: квартиры без пыли, дети без истерик, завтрак только по-английски, лица без морщин, тело без жира. Тебе кажется, что это норма, а твоя жизнь с немытыми окнами, грязно…
Голоса депрессии 😞
Этот пост собран из реальных рассказов людей, которые живут с депрессией. Я пишу его, чтобы те, кому по счастливой случайности это состояние незнакомо, могли хоть немного понять, что чувствует другой человек.
И сразу – депрессия это клинический диагноз, а не «плохое настроение» на пару дней. Вот несколько критериев, по которым психиатры отличают болезнь от обычной грусти (по DSM-5):
· почти кажд…
Утренняя гимнастика от Григория Остера
1. Возьмитесь за ум.
2. Пошевелите мозгами.
3. Спинной мозг держите прямо, головной откиньте назад.
4. Начинаем вращательные движения ума.
5. Прокручиваем в голове всё, что случилось.
6. Не напрягаем задний ум, не стоит – это надо было делать раньше.
7. Пальцы не сжимаются в кулаки.
8. Не надо ничего принимать близко к сердцу.
9. Работаем только головой.
10. Не забывайте глубок…
Онихофагия: мой красивый диагноз для этой уродской привычки 🫣
Онихофагия звучит почти как название дорогого парфюма или редкого заболевания, которым болеют только аристократы. На деле, это просто медицинский термин для того, что я делала всю жизнь: грызла ногти до мяса, до крови, до стыда. Прятала руки в карманах, не давала себя фотографировать, зажевывала тревогу вместе с вкуснейшей кутикулой.
А потом я пришла на …
Очень редко мои пациенты мне пишут, не в формате сессии, а просто так, в мессенджер, спросить что‑то или рассказать, что случилось. И почти всегда они извиняются: «Простите, что беспокою не в рабочее время», «Я понимаю, что вы заняты»… И вот это «не в рабочее время» меня каждый раз цепляет.
У меня нет таймера, который выключает меня после того, как я закрыла ноутбук. Да, я занятой психолог и меня действительно много…
Как я вычисляю ВДА за пять минут разговора
Не по диагнозам, нет. Просто по тому, как человек дышит, как отвечает на простые вопросы и что делает, когда вокруг тишина.
ВДА - это не про "наркоманов" и не про "алкоголиков". Это про детей, которые выросли в доме, где за каждым углом могла поджидать опасность. Где мама могла быть доброй, а через час - страшной. Где нельзя было предсказать, что будет через минуту.
И это…
❤12🙏6💯4
Showing the 12 most recent of 20 posts we hold for @add_psy. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 23 August 2026 — this
entry's latest reading, not the date you are reading this.
“По ту сторону зависимостей 😎” (@add_psy), 511 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/add_psy.
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.