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Channel

РИМ-III. Когда нужен результат

@Pavel_Alferov_RIM_III

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

8,384subscribers

-10 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001781657186
TypeChannel
Username@Pavel_Alferov_RIM_III
Created24 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Pavel_Alferov_RIM_III

Topic

Technology — 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 87% 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 why it has no browse page of its own yet.

Growth

8,3748,4038,388.56 August 2026 — 8,394 subscribers6 August 2026 — 8,394 subscribers6 August 2026 — 8,390 subscribers9 August 2026 — 8,393 subscribers13 August 2026 — 8,394 subscribers16 August 2026 — 8,400 subscribers19 August 2026 — 8,403 subscribers23 August 2026 — 8,402 subscribers26 August 2026 — 8,391 subscribers29 August 2026 — 8,383 subscribers1 September 2026 — 8,381 subscribers4 September 2026 — 8,374 subscribers9 September 2026 — 8,386 subscribers13 September 2026 — 8,376 subscribers18 September 2026 — 8,384 subscribers8,3846 August 202618 September 2026
15 measurements spanning 43 days, net -10. 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 8,370–8,407 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 03:168,384+8
13 Sept 2026, 12:218,376-10
9 Sept 2026, 19:018,386+12
4 Sept 2026, 19:008,374-7
1 Sept 2026, 08:078,381-2
29 Aug 2026, 13:548,383-8
26 Aug 2026, 20:378,391-11
23 Aug 2026, 14:148,402-1
19 Aug 2026, 19:528,403+3
16 Aug 2026, 18:238,400+6
13 Aug 2026, 02:568,394+1
9 Aug 2026, 19:518,393+3
6 Aug 2026, 17:308,390-4
6 Aug 2026, 03:028,394no change
6 Aug 2026, 02:058,394first reading

Engagement

11 posts held, back to 9 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 23 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 25 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

275 reactions across 11 posts, in 9 distinct kinds. The most used accounts for 41.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11341.1%
👍7728.0%
❤7226.2%
👏41.45%
👀31.09%
🤔20.727%
🤩20.727%
⚡10.364%
🥰10.364%

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 11 of the 11 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 275 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 9 July 2026 to 25 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 11 we hold a reading for · 9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Pavel_Alferov_RIM_III. 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 11 most recent posts we hold for this entry, published 9 July 2026 to 25 August 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

25 Aug 2026, 10:40 UTC842 views20 reactionsread 28 August 2026
Forwarded from @Secretariatus

Давно хотел прочитать наизанятнейшую работу, опубликованную в начале лета на arXiv. Название этого труда ещё недавно сошло бы за синопсис фантастического романа: «Моделирование человекоподобных обществ земного масштаба с миллиардом агентов». Тринадцать авторов из семи китайских институтов, среди которых Университет науки и технологий Китая, Цинхуа, Фудань и пекинская академия Чжунгуаньцунь, описывают в ней систему Li…

❤10👍6👏4

Signed Pavel Alferov

25 Aug 2026, 10:40 UTC921 views2 reactionsread 28 August 2026

До появления аналогичной машинки для моделирования стейкхолдеров конкретного проекта на основе анализа переписки и доступной (плюс не очень доступной) информации осталось 10... 9... 8...

🔥2

Signed Pavel Alferov

21 Aug 2026, 11:50 UTC≈1,600 views87 reactions1 Starread 28 August 2026
Photo

Скоро на книжных полках каждого города

🔥67❤13👍5🤩1🥰1

Signed Pavel Alferov

7 Aug 2026, 10:38 UTC≈2,640 views13 reactionsread 28 August 2026
Photo

Продолжаю копать тему ИИ-агентов. Пока все никак не определиться их место в проектном управлении. То, что без них теперь никак тут уже понятно. И если у ИТ-шников понятно прямо всем, то вне ИТ многие сомневаются. Не сомневайтесь - все там будем 🙃 Mastt, State of AI in Construction PM 2026 (июль - свежак!). Это стройка, не разработка. Агентов в капстрое уже используют 9,3%, планируют 46,3%; барьер №1 — не сложность и…

❤7👍5🔥1

Signed Pavel Alferov

6 Aug 2026, 11:01 UTC≈1,970 views48 reactionsread 28 August 2026
Forwarded from @MPochinokPhoto

Когда-то, много лет назад, мы с моим партнером, коллегой и единомышленником @Павлом Алферовым провели свой первый семинар по управлению изменениями… в белых халатах. Он назывался «Лекарство против страха». С тех пор было бесчисленное количество программ в Сколково, открытых и корпоративных. Тема управления изменениями росла и развивалась вместе с нами: дополнялась нашим практическим опытом, исследованиями, современ…

👍24❤15🔥9

Signed Pavel Alferov

23 Jul 2026, 09:00 UTC≈2,140 views25 reactionsread 28 August 2026
Forwarded from @leadership_positionPhoto

С некоторыми опозданием рефлексия по финалу ЧМ по футболу и выводы для управленцев и предпринимателей. Можно сколько угодно говорить про тактику, стратегию, командный дух и вот это всё, но ключевой КПЭ в футболе, который влияет на итоговый результат - количество ударов в створ ворот противника. В недавнем финале Испания сделала 12 таких ударов, а Аргентина НОЛЬ. По статистике, примерно каждый четвёртый удар в створ…

❤13👍7🔥4⚡1

Signed Pavel Alferov

23 Jul 2026, 09:00 UTC≈9,960 views8 reactionsread 28 August 2026

Коллега Шапенко выдал очередной блистательный пост. Очень красивая метафора, отлично ложащаяся практически на любую менеджерскую дисциплину. Добавлю занудства: «удар в створ» — это всегда опережающая метрика. Гол, выручка, сданный проект — запаздывающая. Это то, что уже случилось, ими поздно управлять. А вот удар в створ то на чем стоит сосредоточиться, то что проще контролировать. И он статистически тянет результа…

❤8

Signed Pavel Alferov

21 Jul 2026, 15:34 UTC≈4,970 views39 reactionsread 28 August 2026
Photo

Попался очень старый англоязычный мем, по-моему до сих пор крайне актуальный 🦉 Перевел его и немножко обновил дизайн - совсем уж был древний 🙃 Оригинал в комментариях

🔥30👍8🤩1

Signed Pavel Alferov

10 Jul 2026, 13:39 UTC≈2,470 views3 reactionsread 28 August 2026
Photo

Кстати кому интересно будущее проектной методологии очень рекомендую посмотреть вебинар Андрея Малахова на эту тему. У Андрея интересный авторский подход как разложить все в цифровую модель. Мне показалось очень интересным, хотя и не самым простым упражнением. https://pmlogic-event.timepad.ru/event/4066469/

❤3

Signed Pavel Alferov

10 Jul 2026, 13:35 UTC≈2,320 views15 reactionsread 28 August 2026
Photo

PM Forum 2026: Что в приоритете На прошлой неделе вел блиц-панель «Project management 2026: что в приоритете?». Все не доходили руки опубликовать Сессия проходила сразу после доклада Вениамина Кизеева с его прогнозами про закат профессии РП (первая картинка). Было особенно интересно "обстучать" эти мысли об участников в зале и о шесть руководителей проектных офисов крупнейших компаний страны. Так сказать проверить…

👍10👀3❤2

Signed Pavel Alferov

9 Jul 2026, 21:58 UTC≈1,580 views15 reactionsread 28 August 2026
Forwarded from @skolkovo_channelPhoto

Искусственный интеллект меняется быстрее, чем успевают появляться исследования о его влиянии на работу компаний и команд. Но уже сейчас они помогают увидеть важные закономерности: где технологии ускоряют работу, где создают новые риски и какие управленческие решения выходят на первый план. В карточках собрали результаты нескольких исследований и практические выводы от Павла Алферова, профессора бизнес-практики СКОЛК…

👍12🤔2❤1

Signed Pavel Alferov

Showing the 11 most recent of 11 posts we hold for @Pavel_Alferov_RIM_III. 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 9 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.

Лидерская позиция | Андрей Шапенко
@leadership_position · 27,168
Telegram ranks this channel #6 of 98 here — alongside 97 others — read 11 September 2026
Skolkovo School of Management
@skolkovo_channel · 43,308
Telegram ranks this channel #6 of 100 here — alongside 99 others — read 28 August 2026
Про Проекты и карьеру в ИТ | Романова
@proProject1 · 37,220
Telegram ranks this channel #25 of 97 here — alongside 96 others — read 1 September 2026
🔥 Дмитрий Ирешев: AI • Продукты • Проекты
@dmitrii_ireshev_Agile_PMP · 27,750
Telegram ranks this channel #33 of 97 here — alongside 96 others — read 12 September 2026
СберУниверситет
@sber_university · 24,091
Telegram ranks this channel #39 of 100 here — alongside 99 others — read 17 September 2026
Про Управление
@ProYpravlenca · 32,601
Telegram ranks this channel #70 of 99 here — alongside 98 others — read 6 September 2026
pmclub — учим управлять
@pmclub · 20,761
Telegram ranks this channel #74 of 97 here — alongside 96 others — read 26 September 2026

This channel appears in 7 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“РИМ-III. Когда нужен результат” (@Pavel_Alferov_RIM_III), 8,384 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Pavel_Alferov_RIM_III.

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.