Кто?
custom 54676980444745193172

Channel
@leontevskaya
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
295subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001514099920 |
|---|---|
| Type | Channel |
| Username | @leontevskaya |
| Description | Вместо таблетки — эмоциональная регуляция и психология общения. Как минимум смешно, как максимум полезно. Осторожно, мат☝️ Автор — психолог, гипнотерапевт, тренер по коммуникации Юлия Леонтьевская @julia_leontevskaya |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/leontevskaya |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 08:05 | 295 | no change |
| 7 Aug 2026, 09:49 | 295 | first reading |
12 posts held, back to 2 August 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 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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 12 (2 August 2026 – 8 August 2026) |
| Views total | 568 |
| Reactions total | 103 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 08:05 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.
Lifetime counters from Telegram’s own channel header, read 8 August 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.
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.
103 reactions across 12 posts, in 12 distinct kinds. The most used accounts for 25.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 26 | 25.2% | |
| ❤🔥 | 25 | 24.3% | |
| custom 5334869231588619276 | 9 | 8.74% | |
| 💯 | 8 | 7.77% | |
| 😁 | 8 | 7.77% | |
| 💔 | 7 | 6.80% | |
| custom 5469843170185473331 | 6 | 5.83% | |
| 👍 | 6 | 5.83% | |
| 🍓 | 3 | 2.91% | |
| custom 5467698044474519317 | 2 | 1.94% | |
| 💋 | 2 | 1.94% | |
| 🤝 | 1 | 0.971% |
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 12 of the 12 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 103reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 2 August 2026 to 8 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.
Кто?
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С тех пор прошло полтора века. Женщин больше не сдают в лечебницу за собственное мнение. Но норму для нас по-прежнему пытается регулировать общество. Однако, кажется, женщин это больше не волнует. Сильно поменялось понятие нормы. Отсюда столько разводов. Что похоже на революцию, да. Впервые женщины массово отказываются терпеть то, что веками шло в «комплекте» к большинству мужчин: ✅неуважение, ✅обесценивание, ✅наси…
❤🔥6🔥2
В XIX веке в Европе и США женщин действительно могли поместить в психиатрическую лечебницу по решению мужа или родственников за поведение, которое просто не вписывалось в гендерные нормы🤪 Диагноз «истерия» («болезнь матки», «женская нервозность») был реальным инструментом социального контроля: муж мог так убрать неудобную жену, получить единоличную опеку над детьми, завладеть её имуществом или расчистить путь к ново…
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Лэйдис фром Сочио, внимание на слайды❣️ Мы с @nastyalook_ru ждем вас! Возьмите любимое украшение, заякорим🧚🏻♀️
❤🔥4🔥3
Четверг же, а значит #разборкино. Мальчик приходит в магазин, который принадлежит отцу и тычет пальцем: хочу вот этого. «Этот» - живой взрослый человек, журналист Перрен. Его действительно «покупают» и на несколько дней он становится игрушкой ребёнка миллионера. Это доведённая до гротеска сцена, которую многие отыгрывают без всякого папиного магазина. Речь о функциональном отношении к людям. Когда у одного власть …
🔥6💋2🤝1
Замечали, что у нас помощь надо заслужить? Не просто попросить, а сначала доказать, что тебе действительно достаточно хреново. Отстрадать положенное💪 Дойти до края, чтобы никто потом не сказал «Ой, да ладно, ерунда какая, потерпел бы». Это зашито в нашем языке: «Не сахарный, не растаешь». «Поболит и пройдёт». «Терпи, казак». «Не жили богато, нечего и начинать». Наш человек к врачу идёт, когда таблетки уже не берут…
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У меня есть клиенты, которых я шлю на 3 буквы, то есть на dbt. Пошла сама подучиться к https://t.me/psyiceberg. Так, чтобы было. Каникулы же в магистратуре.
👍4
Мне так нравится, как Инста подслушивает мои сессии с клиентами, а потом выдает рилсы на тему того, над чем мы работали. Несмотря на кучу слов, которые существуют в психологии для описания этого типа людей, мы давно забыли простое русское слово БЛЯДИ, - отрезюмировал Инстаграм очередную сессию, предложив новое старое слово для описания человека, из-за которого клиент оказался в терапии 😅
😁8🔥4
Мамино сообщение - лучшая иллюстрация, почему дочка пошла в терапию👌
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В семье мужчина должен быть выше по положению. Если жена получает больше зарплату или выше должность - это уже не семья, - звучит как закон физики. Вода кипит при 100 градусах, жена не должна получать больше, что тут обсуждать?! Такие фразы называются убеждениями-аксиомами. Спорить с ними бесполезно. Дело в том, что подобные аксиомы никогда не проверялись человеком, не сверялись с реальностью. Они просто въехали в г…
🔥7💯3❤🔥2👍2
Новая старая рубрика ЗАЕBali 😤 Знаете это чувство, когда внутри всё кипит, а поделиться не с кем? Сосед сверлит по выходным с восьми утра и ты не успеваешь восстановиться перед рабочей неделей. Коллега отвечает «Ну ты же понимаешь» на любой вопрос. Мама спрашивает про личную жизнь третий раз за ужин. И ты вроде взрослый человек, а хочется топать ногами. Так вот. Топайте. Злость — это не про то, что вы «плохой» и …
❤🔥5
Выходные были такими, что как-будто в отпуск сходила🥰 А у вас?
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Showing the 12 most recent of 12 posts we hold for @leontevskaya. 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 — 1,140,583 of 1,481,217entries 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.
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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Вместо Таблетки” (@leontevskaya), 295 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/leontevskaya.
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.