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 11 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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
59 measurements spanning 94 days, net -186. 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 10,388–10,630 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
8 Nov 2026, 21:56
10,416
-8
7 Nov 2026, 11:15
10,424
+2
6 Nov 2026, 13:40
10,422
+1
5 Nov 2026, 14:09
10,421
+1
4 Nov 2026, 16:35
10,420
-7
3 Nov 2026, 13:31
10,427
+1
2 Nov 2026, 15:51
10,426
-1
1 Nov 2026, 15:06
10,427
-1
31 Oct 2026, 18:19
10,428
-3
29 Oct 2026, 20:35
10,431
+1
28 Oct 2026, 22:06
10,430
-2
27 Oct 2026, 22:26
10,432
+1
26 Oct 2026, 19:56
10,431
-2
25 Oct 2026, 17:06
10,433
-4
24 Oct 2026, 19:45
10,437
-2
23 Oct 2026, 19:40
10,439
-6
22 Oct 2026, 19:08
10,445
-6
21 Oct 2026, 16:05
10,451
-5
20 Oct 2026, 13:30
10,456
+3
19 Oct 2026, 10:29
10,453
first reading
Engagement
39 posts held, back to 11 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 50 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.15%
avg views ÷ 10,416 subscribers
Avg views / post
745
13 posts measured
Reaction rate
3.01%
reactions ÷ views · ER floor
Posts in window
13
of 39 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 12 of 13 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
39 (11 July 2026 – 7 November 2026)
Views total
9,682
Reactions total
270
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 21:35 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
19m 59s
Average length
3m 20s
Measured directly from 6 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
943 reactions across 36 posts, in 20 distinct kinds. The most used accounts for 56.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
535
56.7%
🔥
136
14.4%
👍
121
12.8%
💯
20
2.12%
👏
17
1.80%
🤔
17
1.80%
😍
16
1.70%
🕊
13
1.38%
❤🔥
12
1.27%
🙏
12
1.27%
🎉
11
1.17%
🤗
8
0.848%
🤩
6
0.636%
👌
5
0.53%
🥰
4
0.424%
☃
3
0.318%
😁
3
0.318%
🍾
2
0.212%
🍓
1
0.106%
🤣
1
0.106%
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 36 of the 39 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 943 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 11 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
1
across the posts below
Posts paid on
1
of 39 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @trenerolgaparatnova. 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 39 most recent posts we hold for this entry, published 11 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 13 posts held from the last 30 days (7.69%) 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).
Я очень благодарна своей сестре.
Последние несколько лет она активно исследует историю нашего рода.
Восстанавливать память о предках — в этом есть правда и красота. Это важно, это нужно. А в нашей стране, где беспамятство стало нормой, особенно.
Несколько раз за последние 10 лет совесть говорила мне, что хорошо бы этим заняться. Но сил так и не хватило.
И вот несколько лет назад сестра вошла в эту тему. Да еще как…
❗️Сотрудники – важная движущая сила компании. Но именно от руководителя зависит направление, куда будут двигаться сотрудники.
⠀
Успех во многом зависит от того, как руководитель общается со своей командой, как ставит задачи, как поддерживает и развивает ее.
⠀
Делюсь тремя важными шагами, которые нужно учитывать при общении с сотрудниками, чтобы они были мотивированными, хотели работать с вами долго и проявляли свои л…
Сегодняшний герой нашей рубрики про предпринимателей – основатель одной из известнейших корпораций нашего времени Apple. Смелый человек. Талантливый и гениальный бизнесмен и предприниматель. Это Стивен Пол Джобс, больше известный всему миру как Стив Джобс.
⠀
Свою первую работу в Hewlett-Packard гениальный инженер получил в 13 лет. А в 25 уже стал миллионером 💵 Его историю знает весь мир.
Я же хочу поделиться с вами …
Мини-продукты «Дома управленческого мастерства», которые помогут вам справиться с выгораниям и точечно усилить управление:
1️⃣ Если важно понять, почему вы застряли в операционке
Запись вебинара «Как перестать “тушить пожары” и начать управлять»
бесплатно
Разберётесь:
🔹 почему руководитель застревает в операционке
🔹 что именно не работает в управлении
🔹 за счёт чего команда может работать без постоянного контроля
…
Сегодня на встречах по библейской мудрости будем читать притчу о талантах 🌿
Один богатый господин, удаляясь в другую страну, созвал своих слуг и оставил на них свое достояние.
И вручил он кому пять талантов, кому два, кому один...
И очень по-разному они со своими талантами поступили...
Удивительно, что у слова "талант" в момент, когда рассказывалась Христом эта притча, было только одно значение:
🟢 Талант - это кр…
21 октября была на встрече «Уверенное родительство».
Взяла для себя много важных мыслей. Делюсь с вами некоторыми из них ⬇️
Есть 3 кита воспитания:
🔵 ОБЩЕНИЕ
Как наш ребенок общается со старшими, ровесниками, младшими. Все это разные виды общения и все эти уровни нужны для качественной взрослой жизни.
🔵 ТРУД И ТВОРЧЕСТВО
Насколько наши дети любят и готовы трудиться, насколько реализуют свой творческий потенциал.
…
А я благодарна Ольге за слово « важно». Для меня это прям открытие в постановке задач. Вместо : нужно сделать то и то то , в такой то срок , .... ну, все, по классике smart... говорю : мне важно, чтобы в результате было..... И это заставляет меня сформулировать что я хочу в результате , вместо формулирования процесса выполнения задачи. И сотрудникам так легче понять : что же от них хотят в итоге.
Наталья, благодарю …
Получили вот такой комментарий к посту о выгорании руководителей.
Казалось бы, все действительно просто: если команда не выполняет результат и создаёт головную боль руководителю, нужно сменить команду. И все сразу наладится.
Но есть проблема.
Часто мы, как руководители, сами портим свою команду.💯
У нас есть определенный стиль управления, определенный привычки, которые формируют в сотрудниках те или иные модели пов…
В продолжение темы выгорания руководителей поделюсь с вами отрывком выступления основателя и владельца компании «ВсеИнструменты.ру» Виктора Кузнецова с очной встречи участников тренинга «Академия руководителей»
В видео Виктор отвечает на вопрос, где он берет энергию на управление такой крупной компании и множество других проектов.
Поделитесь в комментариях, какие из советов Виктора об источниках энергии забираете с…
Продолжим тему выгорания руководителей.
Причину №1 мы рассмотрели 3 дня назад. Сегодня разберем еще 2 частых причины. Поехали 🚀
Руководителю важно понимать, что:
⠀
👉 Выгорание - это НЕ естественный процесс. Это скорее сигнал нам, что что-то в нашей жизни сейчас устроено не так. Что нужны изменения.
⠀
Обратите внимание на 2 важных момента ⤵️
2️⃣ Руководители быстро выгорают, если нет взаимопонимания в команде.
⠀
❌Е…
На этой неделе поговорим о выгорании руководителей.
По данным исследования McKinsey Global Institute, в 2026 году 87% руководителей среднего и высшего звена сталкиваются с симптомами профессионального истощения.
⠀
Бороться с выгоранием не стоит. Ведь каждый раз, когда мы с чем-то боремся, оно борется в ответ с нами и становится сильнее 🏋️♀️
Поэтому лучше понять причины происходящего. И устранить их.
⠀
ПРИЧИНА ВЫГОР…
«УВЕРЕННОЕ РОДИТЕЛЬСТВО»
Цикл встреч о фундаментальных вопросах воспитания детей
Что делать если ребенок не слушается? Как понять, где сказать "да" и разрешить, а когда пора сказать твердое "нет"? Как быть, если ребенок обманывает или грубит? В процессе воспитания родитель сталкивается с сотнями подобных вопросов. Не всегда понятно, как поступить правильно. Это рождает неуверенность. Неуверенность ведет к усталости …
❤9👍3💯3🤗2🥰1
Showing the 12 most recent of 39 posts we hold for @trenerolgaparatnova. 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.
Posts edited after publishing
@trenerolgaparatnova edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
18 August 2026
Most recent edit
18 August 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 107%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 39 most recent posts we hold, published 11 July 2026 to 7 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 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.
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.
Университет практической психологии Н.И. Козлова @univer_pp · 21,048 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 26 September 2026
Игорь Рызов | Переговоры и продажи @ryzov_igor · 46,630 Telegram ranks this channel #11 of 98 here — alongside 97 others — read 27 August 2026
Александр Высоцкий @alexander_visotsky · 36,719 Telegram ranks this channel #18 of 95 here — alongside 94 others — read 1 September 2026
Король Говорит! Ораторское @korolgovorit_school · 24,156 Telegram ranks this channel #19 of 94 here — alongside 93 others — read 17 September 2026
Татьяна Маричева @tm_producer · 30,727 Telegram ranks this channel #19 of 85 here — alongside 84 others — read 6 September 2026
Максим Батырев @Maxim_Batyrev · 20,710 Telegram ranks this channel #23 of 94 here — alongside 93 others — read 26 September 2026
Михаил Дашкиев @mikhaildashkiev · 44,784 Telegram ranks this channel #26 of 92 here — alongside 91 others — read 28 August 2026
Павел Гительман @potok_gitelman · 38,792 Telegram ranks this channel #36 of 91 here — alongside 90 others — read 1 September 2026
Нечто | Сообщество предпринимателей @nechto_community · 23,095 Telegram ranks this channel #37 of 89 here — alongside 88 others — read 18 September 2026
Трус Юлия про бизнес @trusprobusiness · 36,973 Telegram ranks this channel #40 of 88 here — alongside 87 others — read 31 August 2026
Игорь Манн @mann_igor · 27,443 Telegram ranks this channel #44 of 94 here — alongside 93 others — read 8 September 2026
Я — предприниматель @dashkievpro · 22,147 Telegram ranks this channel #50 of 91 here — alongside 90 others — read 24 September 2026
Мария Солодар | Интернет-маркетинг и фриланс @marketing_Solodar · 21,906 Telegram ranks this channel #53 of 84 here — alongside 83 others — read 21 September 2026
Психолог Николай Баранов @nibaranovpsy · 35,078 Telegram ranks this channel #54 of 81 here — alongside 80 others — read 3 September 2026
Гений переговоров | Ольга Грищенко @kotperegovor · 42,805 Telegram ranks this channel #74 of 96 here — alongside 95 others — read 28 August 2026
Олег Шевелев @olegcloser · 35,480 Telegram ranks this channel #80 of 92 here — alongside 91 others — read 2 September 2026
This channel appears in 16 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ольга Паратнова. Руководитель Разумный” (@trenerolgaparatnova), 10,416 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/trenerolgaparatnova.
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.