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Channel

Сидоркина про организационный дизайн

@sidorkinaorgdesign

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

6,395subscribers

-84 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-1001959702923
TypeChannel
Username@sidorkinaorgdesign
DescriptionКрупнейший в русскоязычном ТГ авторский канал про организационный дизайн - для управленцев и HR (оргструктуры, численность, эффективность) Автор 20+ лет в оргдизайне Написать: @sidorkinasvetlana Реклама в канале: @naida_biz
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/sidorkinaorgdesign

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 70% 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

6,3956,4826,438.56 August 2026 — 6,479 subscribers6 August 2026 — 6,481 subscribers9 August 2026 — 6,480 subscribers13 August 2026 — 6,475 subscribers16 August 2026 — 6,482 subscribers20 August 2026 — 6,477 subscribers23 August 2026 — 6,470 subscribers26 August 2026 — 6,466 subscribers29 August 2026 — 6,456 subscribers1 September 2026 — 6,448 subscribers5 September 2026 — 6,438 subscribers10 September 2026 — 6,425 subscribers14 September 2026 — 6,417 subscribers18 September 2026 — 6,414 subscribers27 September 2026 — 6,403 subscribers5 October 2026 — 6,411 subscribers12 October 2026 — 6,416 subscribers15 October 2026 — 6,414 subscribers17 October 2026 — 6,411 subscribers20 October 2026 — 6,416 subscribers23 October 2026 — 6,417 subscribers26 October 2026 — 6,413 subscribers29 October 2026 — 6,409 subscribers1 November 2026 — 6,407 subscribers4 November 2026 — 6,405 subscribers6 November 2026 — 6,395 subscribers6 August 20266 November 2026
26 measurements spanning 93 days, net -84. 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 6,382–6,495 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
6 Nov 2026, 21:106,395-10
4 Nov 2026, 02:166,405-2
1 Nov 2026, 11:546,407-2
29 Oct 2026, 10:176,409-4
26 Oct 2026, 07:056,413-4
23 Oct 2026, 11:466,417+1
20 Oct 2026, 20:056,416+5
17 Oct 2026, 15:386,411-3
15 Oct 2026, 02:076,414-2
12 Oct 2026, 00:006,416+5
5 Oct 2026, 09:566,411+8
27 Sept 2026, 06:156,403-11
18 Sept 2026, 06:016,414-3
14 Sept 2026, 01:406,417-8
10 Sept 2026, 04:586,425-13
5 Sept 2026, 01:386,438-10
1 Sept 2026, 13:326,448-8
29 Aug 2026, 23:076,456-10
26 Aug 2026, 19:246,466-4
23 Aug 2026, 12:086,470first reading

Engagement

54 posts held, back to 16 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 16 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.83%
avg views ÷ 6,395 subscribers
Avg views / post
501
24 posts measured
Reaction rate
1.45%
reactions ÷ views · ER floor
Posts in window
24
of 54 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 21 of 24 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 November 2026
Posts held54 (16 July 2026 – 6 November 2026)
Views total12,014
Reactions total148
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 11:19 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
599
Videos
21
Links
606

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. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
6s
Average length
6s

Measured directly from 1 video 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

319 reactions across 41 posts, in 2 distinct kinds. The most used accounts for 58.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤18858.9%
🔥13141.1%

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 46 of the 54 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 394 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 16 July 2026 to 6 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.

Advertising

Ad load
5.56%
3 of 54 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
337
over 3 measured posts
Median views · rest
507
over 51 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjeG9BiB16 August 20266 August 2026
2W5zFG1wx33111 August 202611 August 2026
CQH36pWzJqVHt7LWb6QFMPPyzQrrdJ6WPnT3pAtYP26eFm110 August 202610 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 54 most recent posts we hold, published 16 July 2026 to 6 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 24 posts held from the last 30 days (4.17%) 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).

6 Nov 2026, 03:34 UTC292 views6 reactionsread 7 November 2026
File

Коллеги, СберУниверситет подогнал очередное исследование про то, как ИИ преобразит нашу жизнь и работу. Вот некоторые выводы исследования (курсивом - мои комментарии): 🧠 К 2031 году технологии меняют работу, но не гарантируют уменьшения нагрузки: на смену прежним шагам приходит работа с ИИ. А за что боролись-то, коллеги? Меньше работать не будем. 🧠 Человеку будет всё сложнее выдерживать нагрузку, сохранять концент…

❤5🔥1

5 Nov 2026, 09:34 UTC321 views1 reactionsread 7 November 2026

🤔 А так ли уж устарела функциональная оргструктура? 🏛 Гибкие структуры, плоские, продуктовые, матричные, экосистемы, холакратия… О современных типах оргструктур сейчас пишут и говорят очень много (и я в том числе). Но когда я общаюсь с реальными российскими компаниями, картина другая: навскидку процентов 90 из них работают в классической функциональной структуре или, по крайней мере, этот тип структуры там является …

🔥1

5 Nov 2026, 03:29 UTC310 views2 reactionsread 7 November 2026

📅 Коллеги, собрала в одном посте информацию о наших с Оксаной Усачёвой активностях на ближайшие три месяца. Будем рады вашему участию! 🔹 С 7 ноября по 12 декабря, по субботам — практикум «Драйверная модель за 5 недель» Мой курс по построению факторной (драйверной) модели расчета численности персонала. Освободилось одно место, так что ещё можно успеть. 🔹 19–20 и 26–27 ноября — «ФОТ под нож» Авторская программа Оксан…

❤2

4 Nov 2026, 03:32 UTC317 views7 reactionsread 7 November 2026
Photo

Друзья, с Днем народного единства! Оно нам сейчас очень нужно.

❤6🔥1

3 Nov 2026, 03:30 UTC368 views10 reactionsread 7 November 2026
Photo

Детские книжки содержат в себе очень даже взрослые идеи. Вот, например, Винни-Пух Алана Милна. В главе про то, как Пух и Пятачок ловили Слонопотама мы видим прекрасный пример того, чем кончается проектирование продукта без изучения своего клиента. **** — Я думаю поймать его, — сказал Пух, подождав ещё немножко, — в западню. И это должна быть очень Хитрая Западня, так что тебе придётся помочь мне, Пятачок. — Пух, — …

❤6🔥4

2 Nov 2026, 09:35 UTC395 views5 reactionsread 7 November 2026
Forwarded from @volotovskayaelena

96 книг от McKinsey в 2026 году McKinsey опубликовала свой ежегодный список книг: в этом году это 96 произведений, рекомендованных более чем 50 руководителями компаний, экспертами и представителями академического сообщества. Ниже большая часть списка по темам: ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ 1. A Brief History of Intelligence — Max Bennett 2. The Coming Wave — Mustafa Suleyman, Michael Bhaskar 3. Human Raised — Dana Susk…

🔥3❤2

2 Nov 2026, 03:34 UTC386 views3 reactionsread 7 November 2026

Врываемся в начало ноября и начало рабочей недели с дайджестом постов октября 🍁 🍁Итоги конференции «ИИ в HR» раз и два 🍁Про движение компаний по спирали в стрессе 🍁Про норму управляемости как резерв оптимизации оргструктуры 🍁Откуда берется руководитель одного подчиненного? 🍁Как учитывать отпуска и больничные при расчете численности 🍁Про работу со стрессом в конце года 🍁А нужны ли нам планерки в эпоху ИИ? 🍁Что…

🔥3

30 Oct 2026, 03:31 UTC491 viewsread 7 November 2026
Poll

Друзья, в продолжение вчерашнего разговора - как будут в будущем учиться джуны?

  1. Как Люси и Газонокосильщик - через стимуляцию мозга13%
  2. Как Лилу из "Пятого элемента" - через просмотр информации на ускоренной перемотке43%
  3. Как Тринити в "Матрице" - оператор, загрузи в мозг программу пилотирования вертолета48%
  4. Свой вариант (напишу в комментариях)0%

The shares total 104%, 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.

29 Oct 2026, 06:36 UTC493 views3 reactionsread 6 November 2026
Video

🎃 Даже у опытных специалистов бывают случаи, к которым невозможно подготовиться. В работе с людьми не всегда всё идёт по плану. Клиент заходит в тупик, привычные техники не помогают, а готового ответа нет. И приходится искать другой путь, пробовать новое и разбираться, что на самом деле происходит. 30 октября Школа карьерного менеджмента приглашает на бесплатную онлайн-встречу «Байки из карьерного склепа». Поговори…

❤3

29 Oct 2026, 03:31 UTC461 views8 reactionsread 7 November 2026

Кому теперь в "песочницу"? 🧩 Есть ещё одна тема, которая меня беспокоит в связи с внедрением ИИ: как будут набираться опыта наши джуны? Сейчас специалист проходит определённый путь профессионального роста. Пробует, ошибается, делает выводы, принимает решения, и всё это постепенно «прошивается» в него. Через несколько лет он уже не просто знает, как правильно, а чувствует, где подвох, и почему здесь лучше сделать ин…

❤6🔥2

28 Oct 2026, 15:23 UTC450 views2 reactionsread 7 November 2026

🌶 Друзья, практикум по драйверной модели - fully booked.

🔥2

28 Oct 2026, 03:31 UTC506 views6 reactionsread 7 November 2026

📊 Практикум «Драйверная модель за 5 недель» стартует уже в следующую субботу, 7 ноября, и группа, в общем-то, набрана. Но если вы долго думали и всё-таки хотите решиться, пару мест мы ещё найдём. Практикум для вас, если нужно управлять численностью персонала не интуитивно, а с математически обоснованными расчётами. Даже если вы не особо математик (таких у нас всегда немало, и все справляются). Что разбираем: ▫️ пол…

🔥5❤1

Showing the 12 most recent of 54 posts we hold for @sidorkinaorgdesign. 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 recorded as deleted after publishing

We recorded 1 post on @sidorkinaorgdesign as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
12 August 2026
Most recent seen missing
12 August 2026
Median time before seen missing
9 days
Seen missing in the last 30 days
0

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.

30 Oct 2026, 03:31 UTCAnonymous Poll23 voters

Друзья, в продолжение вчерашнего разговора - как будут в будущем учиться джуны?

  1. Как Люси и Газонокосильщик - через стимуляцию мозга13%
  2. Как Лилу из "Пятого элемента" - через просмотр информации на ускоренной перемотке43%
  3. Как Тринити в "Матрице" - оператор, загрузи в мозг программу пилотирования вертолета48%
  4. Свой вариант (напишу в комментариях)0%

The shares total 104%, 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 54 most recent posts we hold, published 16 July 2026 to 6 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

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 4 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.

Управление персоналом | hr, карьера, кадры
@secrets_hr · 21,850
Telegram ranks this channel #17 of 93 here — alongside 92 others — read 22 September 2026
Пригодится! 🍎 Библиотека для HR
@savetoreadlater · 22,092
Telegram ranks this channel #17 of 100 here — alongside 99 others — read 21 September 2026
Эйчаргейт| Перезагрузка
@hrgate · 56,959
Telegram ranks this channel #17 of 93 here — alongside 92 others — read 28 August 2026
topcareer
@topcareerschool · 23,207
Telegram ranks this channel #29 of 100 here — alongside 99 others — read 18 September 2026
The Future Of Work
@thefutureofwork · 21,123
Telegram ranks this channel #38 of 99 here — alongside 98 others — read 26 September 2026
WTF_HR
@WTF_HR · 19,219
Telegram ranks this channel #40 of 99 here — alongside 98 others — read 2 October 2026
HR-аналитика
@hranalitycs · 34,232
Telegram ranks this channel #45 of 100 here — alongside 99 others — read 3 September 2026
Ольга Абрамова про переговоры
@HRD_mediator · 28,309
Telegram ranks this channel #52 of 99 here — alongside 98 others — read 9 September 2026
Полезное для Кадровика
@trud_krut · 23,338
Telegram ranks this channel #69 of 96 here — alongside 95 others — read 18 September 2026
Рабочие лайфхаки: секреты и советы
@lifehackoftheday · 25,870
Telegram ranks this channel #78 of 97 here — alongside 96 others — read 13 September 2026
Альфа-Курс
@alfa_course · 20,389
Telegram ranks this channel #82 of 88 here — alongside 87 others — read 26 September 2026
REFORUM
@reforum · 18,736
Telegram ranks this channel #85 of 100 here — alongside 99 others — read 5 October 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях
@kireeva_science · 21,161
Telegram ranks this channel #86 of 96 here — alongside 95 others — read 25 September 2026
Кадровику
@kadroviku · 44,907
Telegram ranks this channel #91 of 93 here — alongside 92 others — read 27 August 2026
Я Топ
@i_top_groups · 19,290
Telegram ranks this channel #92 of 100 here — alongside 99 others — read 5 October 2026
HR[хаб]вакансии
@hrhubvacancy · 22,862
Telegram ranks this channel #92 of 100 here — alongside 99 others — read 20 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Сидоркина про организационный дизайн” (@sidorkinaorgdesign), 6,395 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/sidorkinaorgdesign.

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.