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Channel

Время тренинга

@ExecutiveTrainer

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

6,576subscribers

-145 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-1001719850780
TypeChannel
Username@ExecutiveTrainer
DescriptionОрганизационная психология для лидеров и HR От тренера-консультанта Марии Тихоновой www.mariatikhonova.ru Записаться на сессию: @Mariatih
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 live9 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/ExecutiveTrainer

Topic

Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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

6,5756,7216,6487 August 2026 — 6,721 subscribers8 August 2026 — 6,721 subscribers11 August 2026 — 6,712 subscribers14 August 2026 — 6,701 subscribers20 August 2026 — 6,697 subscribers24 August 2026 — 6,693 subscribers27 August 2026 — 6,686 subscribers30 August 2026 — 6,678 subscribers2 September 2026 — 6,670 subscribers6 September 2026 — 6,649 subscribers11 September 2026 — 6,658 subscribers15 September 2026 — 6,649 subscribers27 September 2026 — 6,617 subscribers5 October 2026 — 6,606 subscribers12 October 2026 — 6,624 subscribers15 October 2026 — 6,614 subscribers18 October 2026 — 6,609 subscribers21 October 2026 — 6,604 subscribers24 October 2026 — 6,607 subscribers27 October 2026 — 6,599 subscribers30 October 2026 — 6,593 subscribers2 November 2026 — 6,585 subscribers5 November 2026 — 6,575 subscribers9 November 2026 — 6,576 subscribers6,5767 August 20269 November 2026
24 measurements spanning 93 days, net -145. 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 6,553–6,743 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
9 Nov 2026, 00:306,576+1
5 Nov 2026, 12:046,575-10
2 Nov 2026, 07:016,585-8
30 Oct 2026, 01:366,593-6
27 Oct 2026, 09:416,599-8
24 Oct 2026, 06:496,607+3
21 Oct 2026, 09:396,604-5
18 Oct 2026, 08:316,609-5
15 Oct 2026, 07:466,614-10
12 Oct 2026, 07:176,624+18
5 Oct 2026, 08:166,606-11
27 Sept 2026, 08:556,617-32
15 Sept 2026, 09:206,649-9
11 Sept 2026, 10:176,658+9
6 Sept 2026, 11:216,649-21
2 Sept 2026, 08:066,670-8
30 Aug 2026, 17:126,678-8
27 Aug 2026, 16:246,686-7
24 Aug 2026, 08:276,693-4
20 Aug 2026, 08:166,697first reading

Engagement

48 posts held, back to 13 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 18 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.97%
avg views ÷ 6,576 subscribers
Avg views / post
327
11 posts measured
Reaction rate
5.62%
reactions ÷ views · ER floor
Posts in window
11
of 48 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 9 November 2026
Posts held48 (13 June 2026 – 9 November 2026)
Views total3,592
Reactions total202
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 09:38 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
332
Videos
19
Links
295

Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

895 reactions across 48 posts, in 22 distinct kinds. The most used accounts for 27.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍24927.8%
🔥22525.1%
❤18320.4%
😁687.60%
🤣566.26%
❤‍🔥323.58%
👏141.56%
👌131.45%
💯131.45%
😍131.45%
👻50.559%
🙏50.559%
🤝40.447%
🍓30.335%
🙈30.335%
🤔30.335%
⚡10.112%
🏆10.112%
🐳10.112%
👀10.112%
2 further kinds20.223%

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 48 of the 48 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 895 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 48 most recent posts we hold, published 13 June 2026 to 9 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
2
across the posts below
Posts paid on
2
of 48 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ExecutiveTrainer. 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 48 most recent posts we hold for this entry, published 13 June 2026 to 9 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: 0 of 11 posts held from the last 30 days (0%) 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).

9 Nov 2026, 06:05 UTC108 views12 reactionsread 9 November 2026

Приветствую новых подписчиков подборкой материалов по теме «Практики адаптации» Вот здесь можно проголосовать за те инструменты адаптации, которые используются в вашей компании Вот здесь посмотреть, какие инструменты адаптации чаще используются в России Почитать о практиках онбординга в российских компаниях Проникнуться классными идеями и опытом на моем вебинаре Задуматься о том, что осложняет адаптацию новичков…

❤6👍4🔥2

Signed Тихонова Мария

5 Nov 2026, 06:04 UTC257 views20 reactionsread 9 November 2026

«Ну вот же Антон нормально работает, какие ко мне претензии?!» Сценарий классический: к опытному сотруднику прикрепляют новичка, но у наставника нет ни времени, ни желания с ним возиться. Поэтому он выдает новому коллеге стопку унылых распечаток или ссылку на 20-страничный регламент со словами «на, почитай», и уходит по своим делам. А дальше компания включает режим естественного отбора: Тип первый (условный Антон):…

👍12🔥5❤1👌1💯1

Signed Тихонова Мария

2 Nov 2026, 06:44 UTC288 views12 reactionsread 9 November 2026
Forwarded from @neohr

Posted without readable text

👍6🔥4👌1💯1

Signed Тихонова Мария

31 Oct 2026, 07:51 UTC295 views22 reactionsread 9 November 2026
Forwarded from @kupnonnPhoto

HR-ВСТРЕЧА В КУПНО: ТРАНСФОРМИРУЕМ СИСТЕМУ АДАПТАЦИИ Уже ждёте следующую HR-встречу в КУПНО? Мы знали и подготовили для вас что-то очень интересное! ❓ Новичок вышел на работу, но что поможет ему остаться и стать частью команды? Для HR за этим вопросом стоят затраты на подбор, риск повторного поиска и необходимость вовлекать руководителя. Не теряет актуальности и вопрос о роли технологий: что можно поручить чат-бота…

❤8👏4🔥4😍4👍2

Signed Тихонова Мария

31 Oct 2026, 07:51 UTC269 views4 reactionsread 9 November 2026

Встречаемся в Нижнем Новгороде 👌

❤4

Signed Тихонова Мария

30 Oct 2026, 07:15 UTC317 views18 reactionsread 9 November 2026

«Что еще я должен сделать, чтобы меня заметили?!» Александр работает в компании уже два года. Начинал с рядовой позиции, быстро стал одним из лучших сотрудников. Руководитель им доволен, коллеги уважают. Нужно выйти в выходной? Александр выйдет. Коллега заболел? Возьмет его работу на себя. Срочное задание в семь вечера? Останется, пока не закончит. Он действительно много работает. И очень гордится тем, что на него в…

👍11❤‍🔥3❤2🔥2

Signed Тихонова Мария

28 Oct 2026, 05:33 UTC356 views19 reactionsread 9 November 2026

«Вот бы вы наших руководителей этому поучили!» Как же часто я это слышу 😎 И ведь участники правы, что уж там. Исследования показывают: когда руководители участников тренинга проходят такое же обучение – навыки у их сотрудников быстрее переносятся в рабочую практику и лучше закрепляются. А что еще помогает переносу навыков в рабочую практику и их закреплению? Есть несколько факторов! • Когда на тренинге разбираютс…

👍8🔥7❤3👌1

Signed Тихонова Мария

26 Oct 2026, 05:30 UTC399 views21 reactionsread 9 November 2026
Photo

Что предпринять, когда все смотрят на тебя..? На фото Джули Чжо ─ бывший вице-президент по продуктовому дизайну Facebook. Она родилась в Шанхае, выросла в Техасе, окончила Стэнфорд по специальности Computer Science. Интересно, что выбор компьютерных наук был её формой подросткового бунта: родители хотели, чтобы она стала врачом или юристом. После окончания университета Джули пришла в Facebook на стажировку и за 14…

❤12👍6🔥2👌1

Signed Тихонова Мария

19 Oct 2026, 06:19 UTC472 views24 reactionsread 9 November 2026
Photo

«Любовь моя»: талант, характер и право на чужое терпение В фильме «Любовь моя» (вы уже посмотрели? я да) Хавьер Бардем играет знаменитого режиссёра. Его профессиональная слава соседствует с тяжёлым прошлым: грубость, насилие, запрещенные вещества. И вот новые съемки, и в главной роли дочь, рядом с которой ему хочется быть другим. Но не получается. Конфликт на съемочной площадке вызывает закономерный вопрос: что мож…

🔥13👍7❤‍🔥4

Signed Тихонова Мария

16 Oct 2026, 06:03 UTC439 views25 reactionsread 9 November 2026
Photo

Пути Одиссея Руководителя уволили полгода назад. Всё это время он ищет работу, но оффера пока нет. Это вполне естественная ситуация для рынка труда, но психологически выносить ее тяжело. Консультируя клиентов в такой ситуации, я начинаю с анализа самого процесса поиска работы: какие цели ставит перед собой клиент, какие способы поиска работы использует, какие вакансии выбирает для отклика, на каком этапе возникают…

👍13❤8🔥4

Signed Тихонова Мария

14 Oct 2026, 06:05 UTC392 views25 reactionsread 9 November 2026
Photo

«Репутация даёт вам доверие, компетенции – инструмент, отношения – поддержку, инициатива – движение наверх. Когда эти элементы соединяются, получается то, что другие называют успехом». А.Низник. @ExecutiveTrainer

🔥10❤7👍5💯3

Signed Тихонова Мария

12 Oct 2026, 06:02 UTC424 views17 reactionsread 9 November 2026
Photo

«Хочу развиваться. Но наставничество — не моё» Опытный продавец бутика пришёл к менеджеру с запросом на развитие. Хорошо продаёт, знает бренд, постоянные клиенты обращаются именно к нему. Хотелось двигаться дальше. Менеджер предложил в качестве следующего шага наставничество — помочь новому сотруднику адаптироваться в компании и научиться продавать. Попробовал. Не понравилось: «Пока я ему объясняю, мог бы занимать…

👍11❤3❤‍🔥2🏆1

Signed Тихонова Мария

Showing the 12 most recent of 48 posts we hold for @ExecutiveTrainer. 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

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 2 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Эйчаргейт| Перезагрузка
@hrgate · 55,184
Telegram ranks this channel #63 of 93 here — alongside 92 others — read 28 August 2026
Школа мышления. Вояж в страну загадок.
@shkolamishleniA · 22,756
Telegram ranks this channel #71 of 97 here — alongside 96 others — read 20 September 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях
@kireeva_science · 21,239
Telegram ranks this channel #85 of 96 here — alongside 95 others — read 25 September 2026
Живое обучение
@prolearning · 20,607
Telegram ranks this channel #86 of 100 here — alongside 99 others — read 26 September 2026
Пригодится! 🍎 Библиотека для HR
@savetoreadlater · 22,075
Telegram ranks this channel #90 of 100 here — alongside 99 others — read 21 September 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Время тренинга” (@ExecutiveTrainer), 6,576 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/ExecutiveTrainer.

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.