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Channel

Заметки Натальи Бехтеревой

@bekhterevans

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

9,749subscribers

+216 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-1001682842154
TypeChannel
Username@bekhterevans
DescriptionКанал для тех, кто привык думать — и не боится заглянуть глубже. Психотерапевт. Организационный консультант. Издатель. Династия Бехтеревых. • Сотрудничество и запись на терапию @bekhterevapsy
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 live6 November 2026
Measurements held24
Confirmed unchanged2 times, most recently 6 November 2026
On Telegramt.me/bekhterevans

Topic

Health & wellness — 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 85% 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 the other topics.

Growth

9,4899,7499,6197 August 2026 — 9,533 subscribers7 August 2026 — 9,533 subscribers7 August 2026 — 9,526 subscribers10 August 2026 — 9,513 subscribers14 August 2026 — 9,515 subscribers17 August 2026 — 9,507 subscribers20 August 2026 — 9,511 subscribers24 August 2026 — 9,509 subscribers26 August 2026 — 9,489 subscribers30 August 2026 — 9,514 subscribers7 September 2026 — 9,534 subscribers11 September 2026 — 9,542 subscribers15 September 2026 — 9,534 subscribers19 September 2026 — 9,545 subscribers29 September 2026 — 9,557 subscribers6 October 2026 — 9,617 subscribers12 October 2026 — 9,603 subscribers15 October 2026 — 9,597 subscribers18 October 2026 — 9,649 subscribers21 October 2026 — 9,703 subscribers24 October 2026 — 9,719 subscribers27 October 2026 — 9,727 subscribers30 October 2026 — 9,738 subscribers3 November 2026 — 9,749 subscribers7 August 20263 November 2026
24 measurements spanning 88 days, net +216. 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 9,450–9,788 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
3 Nov 2026, 01:309,749+11
30 Oct 2026, 18:019,738+11
27 Oct 2026, 18:289,727+8
24 Oct 2026, 12:009,719+16
21 Oct 2026, 15:319,703+54
18 Oct 2026, 21:219,649+52
15 Oct 2026, 21:119,597-6
12 Oct 2026, 17:349,603-14
6 Oct 2026, 01:419,617+60
29 Sept 2026, 00:599,557+12
19 Sept 2026, 09:399,545+11
15 Sept 2026, 09:399,534-8
11 Sept 2026, 18:019,542+8
7 Sept 2026, 02:009,534+20
30 Aug 2026, 06:459,514+25
26 Aug 2026, 21:029,489-20
24 Aug 2026, 02:389,509-2
20 Aug 2026, 15:439,511+4
17 Aug 2026, 09:269,507-8
14 Aug 2026, 02:149,515first reading

Engagement

53 posts held, back to 14 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 43 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.2%
avg views ÷ 9,749 subscribers
Avg views / post
1,380
16 posts measured
Reaction rate
4.73%
reactions ÷ views · ER floor
Posts in window
16
of 53 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 7 November 2026
Posts held53 (14 July 2026 – 7 November 2026)
Views total22,080
Reactions total1,045
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 22:25 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

Photos
≈1,350
Videos
≈36
Links
≈530

Lifetime counters from Telegram’s own channel header, read 7 November 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.

Video runtime
38s
Average length
19s

Measured directly from 2 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

5,246 reactions across 53 posts, in 26 distinct kinds. The most used accounts for 59.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,14059.9%
🔥81615.6%
👍5109.72%
💯3376.42%
👏1041.98%
❤‍🔥881.68%
✍410.782%
😁400.762%
🤔380.724%
🙏370.705%
🥰230.438%
🎉220.419%
⚡110.21%
🤗80.152%
💘60.114%
🕊60.114%
🤯40.076%
😘30.057%
👌20.038%
👎20.038%
6 further kinds80.152%

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 53 of the 53 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 5,246 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 14 July 2026 to 7 November 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 53 we hold a reading for · 21%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bekhterevans. 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 53 most recent posts we hold for this entry, published 14 July 2026 to 7 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 16 posts held from the last 30 days (6.25%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 18:10 UTC508 views29 reactionsread 7 November 2026
Forwarded from @OxanaLavretievaPhoto

Вчера мы с Наташей Бехтеревой вели VIP-группу для женщин-предпринимательниц (да, кстати, забыла вам рассказать эту новость!). Теперь мы ведём такие группы в Питере и скоро собираемся запустить их в Москве, чтобы разбирать реальные бизнес-кейсы в кругу сильных, успешных женщин-предпринимательниц вместе с двумя такими разными специалистами, как я и Наташа. Наташа психотерапевт-психиатр-бизнес консультант. Я – коуч, тра…

❤18🔥7🤔4

6 Nov 2026, 14:28 UTC992 views66 reactionsread 7 November 2026
Photo

Как происходит озарение, которое меняет жизнь В 16 лет Альберт Эйнштейн задался вопросом: что он увидит, если будет двигаться рядом с лучом света с той же скоростью? Будет ли свет казаться ему неподвижным? Позже он вспоминал об этом вопросе как об одном из своих первых шагов к теории относительности. Между школьной загадкой и созданием специальной теории относительности прошло около десяти лет. Учеба, исследования,…

❤48💯14✍4

5 Nov 2026, 08:04 UTC≈1,130 views54 reactionsread 7 November 2026
Photo

Вы замечали, что мы все чаще смотрим кино без рефлексии? Перекидываемся парой фраз с друзьями на выходе из кинотеатра и на этом расстаемся с фильмом, так и не узнав, что именно он в нас задел. Сегодня в моем канале гостья — Алена Савюк. Психолог, кандидат психологических наук, доцент акмеологии и эксперт по работе с бессознательным, за плечами 25 лет практики. Из нашего недавнего знакомства выросла идея постов о т…

❤30🔥17👍6👏1

4 Nov 2026, 12:24 UTC≈1,300 views59 reactionsread 7 November 2026
Photo

Как отличить осеннюю хандру от депрессии На недавней встрече в Петербурге мы говорили с вами об осенней депрессии. Эта тема постоянно возникает и в других разговорах, даже за ужином с подругами. И каждый раз замечаю, как свободно мы обращаемся с этим словом. Не всякое плохое настроение — депрессия. Мы можем грустить, переживать разочарование, тяжело справляться с переменами. Иногда нам плохо, потому что в жизни про…

❤35🔥15🙏6👏3

3 Nov 2026, 16:24 UTC≈1,310 views74 reactions1 Starread 7 November 2026
Photo

Быть удобной в отношениях вредно для женского здоровья? Стремление сохранить мир, угодить всем и раз за разом закрывать глаза на собственные потребности — все это копится в обиду, а обида со временем влияет и на отношения, и на здоровье. В 1991 году психолог Дана Кроули Джек опубликовала книгу «Silencing the Self», в которой связала женскую депрессию с самозамалчиванием — привычкой подавлять свои чувства и желания,…

❤40🔥21👍12😢1

2 Nov 2026, 17:53 UTC≈1,310 views32 reactionsread 7 November 2026
Forwarded from @gorodokMaslovkaPhoto

Новая выставка «Женские страсти» в Музее Масловки открыта! Страсть — влечение, не поддающееся контролю. Женские страсти табуированы культурой, хотя нередко поэтизируются в искусстве. История страсти — это история жизни между «можно» и «нельзя», на фоне которой меняются образы женщин, их отношения с собой и своими желаниями. Выставка предлагает зрителям включиться в игру, примерив на себя разные образы и задать себе…

❤18👍9🔥5

2 Nov 2026, 17:53 UTC≈1,160 views22 reactionsread 7 November 2026

Открылась выставка «Женские страсти» в музее Масловки в Москве. Это было очень волнительно, так как я принимала непосредственное участие в подготовке. Очень рекомендую ее посетить и поделиться впечатлениями ✍️

❤9👍7🔥6

2 Nov 2026, 11:54 UTC≈1,340 views37 reactionsread 7 November 2026
Photo

Упражнение на восприятие. Продолжение: узнаем контекст картины Вчера я поделилась с вами этим изображением и обещала рассказать, кто автор картины и что известно о ее героине. 1. Для начала давайте вернемся к произведению, которое мы рассматривали. Если вы оставляли комментарий, имеет смысл перечитать его, прежде чем двигаться дальше. Это «Мир Кристины» американского художника Эндрю Уайета. Картина написана в 1948…

❤24🔥7👏4👍2

1 Nov 2026, 13:12 UTC≈1,410 views52 reactionsread 7 November 2026
Photo

Воскресная картина: упражнение на восприятие В прошлый раз я предлагала вам вглядеться в портрет женщины в красно-белом платье, и у этой картины есть деталь, которая многое в ней меняет. Художница выросла в семье мясников, и если присмотреться, становится видно, что платье ее героини — из мяса. Пока мы этого не знаем, мы видим изящный силуэт, яркий цвет, может быть, страсть или уязвимость. Когда узнаем, образ начин…

❤37👍10❤‍🔥3🤔2

31 Oct 2026, 13:15 UTC≈1,390 views22 reactionsread 7 November 2026
Forwarded from @olololbrandPhoto

С 30 октября по 4 ноября в разделе «Аутлет» действует специальная акция «1 + 1 = 3» В ассортименте — модели из предыдущих коллекций бренда со скидками до 60%: тёплая верхняя одежда, костюмы из натуральной шерсти, изделия из французского твида и платья на каждый день и для особых случаев. Успейте порадовать себя понравившимися вещами и обновить гардероб к холодному сезону ❤️

❤15👍6✍1

31 Oct 2026, 13:15 UTC≈1,370 views10 reactionsread 7 November 2026

Я уже рассказывала, что очень люблю OLOLOL и сама ношу вещи этого бренда. Поэтому не могу не поделиться: сейчас их можно купить с хорошими скидками.

❤8✍2

31 Oct 2026, 08:34 UTC≈1,540 views59 reactionsread 7 November 2026
Photo

Друзья, завтра, 1 ноября, в Петербурге пройдет открытая встреча со мной. Поговорим об искусстве, ментальном здоровье, осени и депрессии. Как искусство помогает справляться с осенней хандрой, находить поддержку в трудные периоды и лучше понимать себя? Начало в 15:00. Арт-центр “Притяжение”, Вознесенский, 34Ж.

❤41👍9🔥9

Showing the 12 most recent of 53 posts we hold for @bekhterevans. 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

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 12 registered channels — 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.

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

“Заметки Натальи Бехтеревой” (@bekhterevans), 9,749 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/bekhterevans.

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.