Channel
@hr_kakonest
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,448subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001572795094 |
|---|---|
| Type | Channel |
| Username | @hr_kakonest |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/hr_kakonest |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 03:06 | 1,448 | -1 |
| 12 Aug 2026, 22:24 | 1,449 | -1 |
| 10 Aug 2026, 00:29 | 1,450 | -3 |
| 6 Aug 2026, 21:58 | 1,453 | +1 |
| 6 Aug 2026, 07:47 | 1,452 | no change |
| 6 Aug 2026, 00:48 | 1,452 | first reading |
20 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.
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 1 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (3 July 2026 – 6 August 2026) |
| Views total | 1,461 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 07:47 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.
Очередная статья на РБК с моими комментариями: на этот раз о том, как сотрудники угрожают компании увольнением и получают повышение или прибавку к зарплате. https://pro.rbc.ru/demo/6a6e1bac9a794721b64b2513 Статья доступна только по подписке, поэтому традиционно делюсь полным текстом моего комментария. 1️⃣ Почему практика манипуляции от сотрудников с помощью угроз увольнением сегодня стала более популярной? Какие д…
Signed Tatiana Kozhevnikova
✅ Часть 3. Что работает эффективнее в текущей экономической ситуации: единоличный командир или система корпоративного управления, которая снижает зависимость от конкретной личности? Эффективнее работает система управления, снижающая зависимость от конкретной личности. Это понимают не только собственники и Советы директоров, но и сами СЕО. По данным исследования «Компетенции будущего» консалтинговой компании Regroup…
Signed Tatiana Kozhevnikova
✅ Часть 2. В каких отраслях возможно единоличное управление, а где это неэффективно? Наверное, в некоторых отраслях промышленности и энергетики единоличное управление имеет право на жизнь, так как все процессы там жестко регламентированы, инициатива не приветствуется и люди работают в компаниях всю свою жизнь. Но те отрасли, где развитие идет быстрыми темпами, где высокая степень конкуренции и неопределенности, тр…
Signed Tatiana Kozhevnikova
На прошлой неделе РБК ПРО выпустили материал с моим комментарием на тему того, как модель «СЕО - единоличный лидер» трансформируется в систему коллегиального управления. Так как материал РБК доступен только по подписке, а моя цитата очень короткая, привожу комментарий полностью, причем в трех частях. https://pro.rbc.ru/demo/6a69c2689a79471f9e777218 ✅ Часть 1. Действительно ли компании всё чаще компании ищут не «г…
Signed Tatiana Kozhevnikova
Photo, posted without a caption
Signed Tatiana Kozhevnikova
Как известно, сани надо готовить летом, поэтому мы с коллегами из InterComm интенсивно формируем программу конференции, которая состоится 10 и 11 ноября на ВДНХ, в павильоне Техноград. Моя роль - это идеолог трека, посвященного кейсам развития корп. культуры и бренда работодателя. Стараемся собрать самые необычные, креативные и яркие проекты🚀🚀 Но я решила пойти дальше и даже съездила на ВДНХ, чтобы оценить, наскольк…
Signed Tatiana Kozhevnikova
Вышла моя колонка про ДМС: тема старая, как мир, но продолжает вызывать интерес🚑🚑🚑
Signed Tatiana Kozhevnikova
👍👍👍👍👍👍👍👍Не ДМСом единым — как работодателям сэкономить на страховании, но при этом удерживать и привлекать сотрудников Независимый директор, эксперт в области управления персоналом Института экономики роста им. П.А. Столыпина Татьяна Кожевникова в авторской колонке специально для «Суверенной экономики»: Добровольное медицинское страхование в некоторых отраслях российской экономики уже является базовым минимумом. Эт…
Signed Tatiana Kozhevnikova
Photo, posted without a caption
Signed Tatiana Kozhevnikova
Photo, posted without a caption
Signed Tatiana Kozhevnikova
Компания Б1 недавно опубликовала интересное исследование, посвященное аутсорсингу, проанализировав отчетность десятков тысяч (!) компаний: https://b1.ru/analytics/b1-outsourcing-development-in-russia-survey-2026/ ⚠️Специалисты по HR хорошо знают все плюсы аутсорсинга, но не всегда могут убедить в этом руководство компании, которое считает, что это дорого и неэффективно. Так вот, в отчете есть масса конкретных цифр в…
Signed Tatiana Kozhevnikova
Channel photo updated
Showing the 12 most recent of 20 posts we hold for @hr_kakonest. 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 — 526,696 of 1,481,217entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
“Hrkakonest” (@hr_kakonest), 1,448 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/hr_kakonest.
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.