Для тех, кто очень хочет отношений, но почему-то не получается. Мы подготовили две очень крутые лекции в августе. Обе пройдут в формате дискуссий, поэтому вы сможете задавать вопросы и получать ответы от наших спикеров. 🩷 5 вавгуста в 19:00 «Между нами начинается с меня» Спикер — Роман Медведев, психолог, гештальт-терапевт. 🧠 14 августа в 20:30 «Нейронное строение любви. Как наш мозг выбирает партнёра» Спикер — Евг…

Channel
Подружка психолог
@psy_girlfriend
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
940subscribers
-3 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 | -1001996132394 |
|---|---|
| Type | Channel |
| Username | @psy_girlfriend |
| Created | Between 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/psy_girlfriend |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 12:08 | 940 | -3 |
| 8 Aug 2026, 00:49 | 943 | no change |
| 7 Aug 2026, 14:27 | 943 | first reading |
Engagement
15 posts held, back to 28 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.47%
- avg views ÷ 940 subscribers
- Avg views / post
- 89.0
- 11 posts measured
- Reaction rate
- 3.98%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 15 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. It is computed over the 7 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 15 (28 June 2026 – 3 August 2026) |
| Views total | 979 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 00:49 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
- 1m 01s
- Average length
- 20s
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
36 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 97.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 35 | 97.2% | |
| 💯 | 1 | 2.78% |
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 9 of the 15 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 36reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 28 June 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
Почему Егор Крид вдруг стал кринжем, хотя, кажется, он был таким всегда? На самом деле изменился не только Егор. Изменилась его аудитория. Мы выросли вместе с ним, и теперь мозг видит взрослого 32-летнего мужчину, но периодически считывает подростковые ужимки, анимешную эстетику и манеру поведения, которая ассоциируется с гораздо более юным возрастом. Возникает когнитивный диссонанс: что-то здесь не сходится. Добав…
💯1
Немного обо мне и о том, с чем ко мне можно прийти. Я клинический психолог. Работаю с вопросами самооценки и самоценности, реализации, тревожности, депрессивных состояний, сложностей в отношениях и повторяющихся сценариев. Если вы давно думаете о терапии, но не знаете, с чего начать и подхожу ли я вам как специалист, у меня есть бесплатная 20-минутная онлайн-встреча. За это время мы познакомимся, обсудим ваш запро…
❤3
А теперь немного научной критики про «позицию жертвы». Я рассказывала об исследовании 2020 года, где учёные описали склонность к межличностной виктимности: потребность в признании своей обиды, ощущение моральной правоты, снижение эмпатии к другой стороне и постоянное возвращение к пережитой несправедливости. Но научное сообщество задало важный вопрос: а действительно ли это новый психологический феномен? Похожее п…
❤3
Спасибо вам большое 💗
❤7
А что, если человек привыкает быть жертвой? В 2020 году группа исследователей изучила склонность к межличностной виктимности, то есть устойчивую тенденцию ощущать себя жертвой в разных отношениях. Авторы выделили четыре ключевых компонента: • потребность, чтобы другие признали причинённую несправедливость • ощущение собственной моральной правоты • снижение эматии к другой стороне • постоянное возвращение мыслями к …
❤4
Sticker, posted without a caption
Бимбо-стоицизм: почему «глупая блондинка» внезапно встретилась со стоиками. Новый тренд, который я неистово поддерживаю, называется бимбо-стоицизм. И само название прекрасно объясняет его идею. Bimbo долго было уничижительным словом для привлекательной, сексуальной, часто гиперженственной и якобы не очень умной женщины. Та самая вечная конструкция: если блондинка с большими губами, значит, с интеллектом наверняка п…
❤4
Регистрация на лекцию тут https://komnata-dekabrista.timepad.ru/event/4060788/
62 участника на лекцию «Жертва как идентичность. Зачем мы выбираем страдать?» Мест все меньше !
Супер сильно люблю наш Ростов-на-Дону. Обязательно возьмите в прокат катер без капитана и покатайтесь по закатному Дону.
❤4
Друзья, очень прошу вас пройти опрос, связанный с развитием культуры нашего любимого Ростова-на-Дону. Опрос занимает не больше 5 минут. Опрос тут
Showing the 12 most recent of 15 posts we hold for @psy_girlfriend. 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Подружка психолог” (@psy_girlfriend), 940 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/psy_girlfriend.
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.