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Максим Дорофеев: Прокрастинация и джедайские техники

@mnogosdelal

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

24,739subscribers

-49 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001146223279
TypeChannel
Username@mnogosdelal
DescriptionПсихология продуктивности, критическое мышление и "Джедайские техники". Каждый вторник - мудрая заметка, Каждую пятницу - провокационная. Корпоративное обучение: https://t.me/mnogosdelal_corp Вопросы по выступлениям/конференциям: @mnogokaterina
Created8 April 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/mnogosdelal

Growth

24,73924,78824,763.56 August 2026 — 24,788 subscribers6 August 2026 — 24,788 subscribers7 August 2026 — 24,777 subscribers8 August 2026 — 24,763 subscribers9 August 2026 — 24,762 subscribers10 August 2026 — 24,768 subscribers11 August 2026 — 24,769 subscribers12 August 2026 — 24,770 subscribers13 August 2026 — 24,762 subscribers14 August 2026 — 24,748 subscribers16 August 2026 — 24,739 subscribers6 August 202616 August 2026
11 measurements spanning 10 days, net -49. 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 24,732–24,795 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 08:4524,739-9
14 Aug 2026, 20:2424,748-14
13 Aug 2026, 12:0824,762-8
12 Aug 2026, 08:3224,770+1
11 Aug 2026, 08:1224,769+1
10 Aug 2026, 08:5124,768+6
9 Aug 2026, 10:5124,762-1
8 Aug 2026, 13:3724,763-14
7 Aug 2026, 11:2424,777-11
6 Aug 2026, 03:3024,788no change
6 Aug 2026, 03:2424,788first reading

Engagement

26 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.4%
avg views ÷ 24,739 subscribers
Avg views / post
7,010
14 posts measured
Reaction rate
0.994%
reactions ÷ views · ER floor
Posts in window
14
of 26 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 14 August 2026
Posts held26 (22 June 202614 August 2026)
Views total98,200
Reactions total976
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 17:43 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
545
Videos
10
Links
746

Lifetime counters from Telegram’s own channel header, read 16 August 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

2,069 reactions across 25 posts, in 19 distinct kinds. The most used accounts for 35.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
73035.3%
🔥45722.1%
😁45421.9%
👍26412.8%
💯592.85%
❤‍🔥231.11%
🤯211.01%
👏170.822%
90.435%
🙉60.29%
🤔60.29%
🤡50.242%
🫡50.242%
👀40.193%
🎉20.097%
🐳20.097%
👎20.097%
🤝20.097%
🤨10.048%

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 26 of the 26 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 2,115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 22 June 2026 to 14 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

14 Aug 2026, 13:02 UTC≈3,000 views21 reactionsread 16 August 2026

Да, вдогонку к предыдущему посту... Два момента. Момент первый. Если у вас и так уже много в закладках и сохранёнках, что хочется прочитать, но "времени не хватает": 👉 мы открыли набор на программу "Как 'нечитать' книги?" Это о том, как быстрее (на самом деле нет) перерабатывать входящие материалы (книги, статьи, видео) и превращать их в кусочки своей картины мира в виде заметок в заметочнике. Естественно Рустам ещ

21

14 Aug 2026, 13:01 UTC≈2,540 views39 reactionsread 16 August 2026

Posted without readable text

24🔥9👍4❤‍🔥1💯1

12 Aug 2026, 13:45 UTC≈4,140 views60 reactionsread 16 August 2026
Photo

Мы не очень любим весь этот маркетинговый булшит: ✡️ «купите сейчас, а то завтра подорожает». Вместо этого нам больше по душе проводить открытые занятия: приходите, смотрите, и сами решаете, надо ли оно вам. 15 сентября у нас стартует новый, уже 17-й, поток «Как (не)читать книги», и в рамках подготовки к этой движухе мы приглашаем вас попробовать формат, в котором мы проводим обучение. В этот раз «пробовать будем»

48👍8🔥3❤‍🔥1

11 Aug 2026, 14:51 UTC≈4,820 views49 reactionsread 16 August 2026
Photo

Написал ещё один фрагмент свой третьей книги. Фрагмент называется: "Диктатура раздолбайства" Изначально я думал, что это будет фрагмент «Нам нужны методы статистики для оценки сроков проектов», но позже решил вынести в отдельный пример и пример использования другого инструмента: древоматрицы выгод-издержек. В этом фрагменте мы при помощи инструментов прикладной рациональности ("улиток") разбираемся с проблемой: Пом

🔥369👀4

7 Aug 2026, 15:49 UTC≈6,970 views68 reactionsread 16 August 2026
Photo

#ПятничныйНаброс про обучение или селекцию Когда-то давным-давно смотрел на ютюбе видео Дэвида Эпштейна (не того, у кого остров, а другого Эпштейна). Он задался вопросом: глядя на результаты топовых (это важно) спортсменов, на то как уменьшаются секунды и увеличиваются метры их результатов, можно ли сказать, что мы как человечество эволюционируем и становимся быстрее, выше, сильнее? И его основной тезис заключается

😁4019👍6🐳2❤‍🔥1

6 Aug 2026, 13:38 UTC≈8,310 views87 reactionsread 16 August 2026
Photo

Месяц назад я анонсировал исследование Индекса Проникновения ИИ в Повседневное Использование (ИПИИПИ). У меня был вариант названия: Показатель Индивидуальной Зависимости Деятельности от Инструментов ИИ, не помню, почему он проиграл. И вот я подготовил результаты анализа первого среза, но теперь хочу получить у вас новые данные: 👉 ПРОЙТИ ОПРОС (займет 2 минуты) 👈 А в сентябре ещё новые, а потом в октябре... В общем

🔥36😁19189🫡5

4 Aug 2026, 15:31 UTC≈6,910 views57 reactionsread 16 August 2026
Photo

Как сделать выступление действительно обучающим? Меня часто приглашают куда-то выступить. И часто в запросе звучит фраза: ... не могли бы вы нашим слушателям дать ... Кто помнит пошлый анекдот про разницу между дать и взять? Если говорить о лекциях (онлайн или оффлайн), то самый большой вопрос даже не "Что слушатели возьмут?". Тут ответ скорее очевиден: НИ-ЧЕ-ГО! Куда более важным является другой вопрос: Как это

32👍12🔥10😁2🤨1

31 Jul 2026, 15:45 UTC≈8,290 views105 reactionsread 16 August 2026
Photo

#ПятничныйНаброс про KPI 🔸 Кто из вас принимал участие в проекте по внедрению KPI? 🔸 Кто из вас и что думает на тему привязки KPI к премиям и пересмотру зарплат? 🔸 А внедряли ли вы KPI, для наблюдения за тем, в какой мере не похер на важные задачи, не покрытые другими KPI?

😁69👍1810🙉6🤡2

29 Jul 2026, 15:21 UTC≈8,680 views154 reactionsread 16 August 2026
Photo

Каждая последняя среда месяца - это #среда_мемов Присылайте в комментарии к этому посту мемы. Сегодня давайте про нейронки и ИИ.

😁114🔥2315❤‍🔥2

28 Jul 2026, 16:01 UTC≈7,910 views92 reactionsread 16 August 2026
Photo

Очередной фрагмент моей третьей книги (пока еще в открытом доступе) _____________________ В разделе 3.2.2 мы говорили, что за словами «это мой опыт» должна скрываться как минимум одна конкретная история. В разделе 3.2.3 мы рассуждали о том, что опыт является свидетельством достаточности, но не необходимости. В этом разделе я хочу затронуть момент релевантности опыта, особенно когда мы используем его для подтверждени

60👍26😁3👏2❤‍🔥1

25 Jul 2026, 08:34 UTC≈8,410 views72 reactionsread 16 August 2026
Photo

Неплохой способ быстро отличить джуна от сеньора — узнать, как каждый из них называет три вещи: поиск инфы, обсуждение плана работ и созвон с менеджерами. Junior: рисёрчить, брейнштормить и митинг. Senior: гуглить, попиздеть и ёбаный созвон. Из канала I'm CTO, bitch Уже завтра мы приглашаем вас на митинг конференцию. Участие бесплатное, но на всех участников надо подписаться, тогда этот бот выдаст вам ссылку. Ре

😁4017🔥10🤡3👍2

24 Jul 2026, 15:30 UTC≈7,890 views64 reactionsread 16 August 2026

Сегодня будет не #ПятничныйНаброс, а очередное видео. Некоторое время назад Литрес позвал меня на подкаст, куда я пришел и мы поговорили про всякое. Мы говорили про внимание и сосредоточение, лень и усталость, выгорание и расслабление, немного про ИИ и моё предвзятое отношение к литературе, как предмету в школе. В общем, я подумал, что это больше подходит для пятничного вечернего просмотра, а не для вторничной вдум

👍30🔥2113

Showing the 12 most recent of 26 posts we hold for @mnogosdelal. 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

Citation-graph rank — 49,669 of 1,481,243entries 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.

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 7 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.

RationalAnswer | Павел Комаровский
@RationalAnswer · 105,525
Telegram ranks this channel #88 of 98 here — alongside 97 others — read 15 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Максим Дорофеев: Прокрастинация и джедайские техники” (@mnogosdelal), 24,739 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/mnogosdelal.

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.