17 measurements spanning 16 days, net -1. 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 34,065–34,115 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 04:17
34,096
+9
20 Aug 2026, 18:53
34,087
-7
19 Aug 2026, 21:53
34,094
+18
18 Aug 2026, 19:24
34,076
-4
17 Aug 2026, 19:08
34,080
-5
16 Aug 2026, 14:06
34,085
+4
14 Aug 2026, 23:36
34,081
+10
13 Aug 2026, 12:36
34,071
-5
12 Aug 2026, 14:03
34,076
-2
11 Aug 2026, 13:53
34,078
-12
10 Aug 2026, 15:51
34,090
-6
9 Aug 2026, 19:05
34,096
-10
8 Aug 2026, 20:54
34,106
-3
7 Aug 2026, 21:33
34,109
+1
6 Aug 2026, 21:01
34,108
+11
6 Aug 2026, 05:30
34,097
no change
6 Aug 2026, 05:23
34,097
first reading
Engagement
62 posts held, back to 29 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 36 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
7.24%
avg views ÷ 34,096 subscribers
Avg views / post
2,470
62 posts measured
Reaction rate
0.951%
reactions ÷ views · ER floor
Posts in window
62
of 62 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
Window
Rolling 30 days · latest post in window 21 August 2026
Posts held
62 (29 July 2026 – 21 August 2026)
Views total
153,050
Reactions total
1,455
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Aug 2026, 04:56 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
≈1,480
Videos
≈76
Links
≈3,660
Lifetime counters from Telegram’s own channel header, read 23 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 00s
Average length
1m 00s
Measured directly from 2 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
1,357 reactions across 59 posts, in 27 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
377
27.8%
👍
346
25.5%
🔥
267
19.7%
🤣
129
9.51%
😁
51
3.76%
👏
40
2.95%
🤔
22
1.62%
🤯
20
1.47%
🤡
17
1.25%
😱
14
1.03%
👎
12
0.884%
💯
9
0.663%
🗿
9
0.663%
🤝
9
0.663%
❤🔥
7
0.516%
🍌
5
0.368%
😭
5
0.368%
⚡
3
0.221%
🤪
3
0.221%
🥴
3
0.221%
7 further kinds
9
0.663%
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 62 of the 62 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 1,455reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 62 most recent posts we hold, published 29 July 2026 to 21 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.
Advertising
Ad load
14.5%
9 of 62 posts carry an ad marker
Regulatory tokens
9
posts carrying an erid · 9 distinct tokens
Median views · ads
2,230
over 9 measured posts
Median views · rest
2,460
over 53 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjcoUVhM
1
17 August 2026
17 August 2026
2SDnjdHdbPh
1
19 August 2026
19 August 2026
2VSb5xkMrDx
1
13 August 2026
13 August 2026
2Vtzqutxq9D
1
21 August 2026
21 August 2026
2VtzqwCm1Gn
1
3 August 2026
3 August 2026
2VtzqwFuGPD
1
10 August 2026
10 August 2026
2VtzqwvQe9j
1
13 August 2026
13 August 2026
CQH36pWzJqE1dR7Fx2i1iCEDtVeSpsZ41tZRHmjDQCAg7B
1
18 August 2026
18 August 2026
CQH36pWzJqVJECKdWQakXxCvUt3rtUhWc3EsX59yz4DZqu
1
30 July 2026
30 July 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 62 most recent posts we hold, published 29 July 2026 to 21 August 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.
Повод для гордости
Эндрю Марритт, автор Bayesian Thinking for People Analytics, отдельно поблагодарил меня в своей книге.
Edward Babushkin deserves separate thanks. The turnover data in Chapter 17 is real, anonymised employee records that he chose to publish: genuine tenure, genuine departures, right-censored exactly the way real data arrives. Very few people share anything like it, and survival analysis is a great d…
Вебинар Яндекс Практикума. ИИ для бизнеса: как экономить часы без расширения команды
ИИ-инструменты позволяют экономить до 12,2 часов в неделю — почти полтора рабочих дня. Это те самые часы, которые руководители и HR-команды могли бы тратить на развитие бизнеса и людей, а не на рутину.
На бесплатном вебинаре 27 августа покажем реальные сценарии использования ИИ в работе — без громких обещаний и теории ради теории.…
Самый дорогой Новый год — тот, который начали планировать слишком поздно
Сентябрь — крайний срок, чтобы подготовить качественный корпоратив без спешки и компромиссов.
Получите практические советы по организации праздника на бесплатном вебинаре 26 августа в 12:00 по Москве. Юлия Терешко из Битрикс24 и Антон Харченко из SMARTMICE расскажут:
— Что бронировать сейчас, пока есть выбор и цены не выросли.
— Как придумать…
10 токсичных типов сотрудников и как с ними работать руководителю
1️⃣Нытик (The Complainer) Постоянно критикует и находит недостатки во всём. На любое решение у него есть проблема. Как управлять: напрямую разбирайте его замечания, давайте конструктивную обратную связь и чётко обозначайте ожидания.
2️⃣Лентяй (The Slacker) Систематически избегает работы и делает минимум. Как управлять: внимательно следите за результа…
ИИ-навыки перестают быть сверхспособностью на рынке труда
По материалам Форбс
Исследование НИУ ВШЭ на данных более 700 тыс. вакансий от 124 тыс. компаний показывает любопытную вещь: зарплатная премия за ИИ-навыки в России быстро снижается.
В 2022 году она составляла 31,8%, а в 2025-м — уже 11,8%.
Это не означает, что ИИ стал менее ценным. Скорее наоборот: навык постепенно становится массовым.
Когда компетенция редк…
⚡️Новый закон о стажировках: что работодателям нужно учесть до 2027 года
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27 августа в 10:30 (МСК) Changellenge >> проведет бесплатный онлайн-вебинар и на практике разберет:
— какие программы будут признаваться стажировками;
— …
Решение сотрудника остаться в компании зависит не только от уровня зарплаты.
На бесплатном вебинаре 26 августа в 11:00 по мск вместе с Максимом Королёвым, директором по продуктам HRTech-компании «Поток», и Ильёй Понукалиным, директором по персоналу Smartway, разберём, что действительно влияет на удержание сотрудников и как выстроить системный подход к этой задаче.
За 1 час вы узнаете:
— почему удержание начинается …
🤖 Эмпатия — это не чувство, а навык (и ИИ умеет его учить)
Люди чувствуют эмпатию, но не умеют её выражать — и короткое обучение через ИИ это быстро исправляет.
Два урока исследования:
Эмпатию надо выражать, а не только чувствовать
ИИ может выступать коучем – и это работает!
👥 Авторы
Aakriti Kumar, Nalin Poungpeth, Diyi Yang и др. (Northwestern, Stanford)
🧪 Метод
Экспериментальная платформа: участники общались с И…
$25 млрд CEO считает, что часового собеседования недостаточно
Большинство собеседований длится около 45 минут. CEO Bupa Инаки Эреньо считает, что этого недостаточно, чтобы понять, стоит ли брать человека на senior-позицию.
Поэтому он построил собственную систему отбора: три встречи по два часа — всего около шести часов.
Первая встреча — подробный разбор CV.
Вторая — завтрак или обед в ресторане. И здесь CEO смотрит у…
Бесплатный вебинар про развитие руководителей
По данным Brimco, компании с продуманными программами развития руководителей в 12 раз чаще показывают сильные бизнес‑результаты. Исследование New Level Work подтверждает: 42% компаний фиксируют рост выручки благодаря таким программам.
На вебинаре разберем, как выстроить систему развития менеджеров так, чтобы каждый час обучения конвертировался в результаты команды — и …
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В одной команде могут работать представители разных поколений — с разным опытом, привычками и ожиданиями. Кто-то ждёт частой обратной связи, кто-то считает, что если всё хорошо, то и обсуждать нечего. Одни и те же слова и действия воспринимаются по-разному, и даже привычные рабочие ситуации могут становиться поводом для недопонимания.
27 августа в 11…
Exit-интервью. Маршрут движения
Ниже - все значимые материалы по теме выходного интервью в нашем канале. Только один материал - Эрика ван Вулпена, остальные мои.
Когда-то я понял, что анализ причин увольнения - последнее, что должно нас интересовать. Если мы просто спрашиваем сотрудника, почему он увольняется, то смотрим слишком узко и упускаем гораздо более важный вопрос: он уходит от нас или он уходит куда-то?
Дал…
🔥17❤5👍3❤🔥1👏1🙏1
Showing the 12 most recent of 62 posts we hold for @hranalitycs. 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
@hranalitycs edited 2 posts 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
16 August 2026
Most recent edit
17 August 2026
Citation-graph rank
Citation-graph rank — 23,705 of 1,584,420entries 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
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 22 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.
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.
В найме норм! @Vnaime_norm · 81,776 Telegram ranks this channel #26 of 94 here — alongside 93 others — read 18 August 2026
ЭКСЕЛЬХАК @excelhackru · 73,723 Telegram ranks this channel #49 of 87 here — alongside 86 others — read 19 August 2026
This channel appears in 2 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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“HR-аналитика” (@hranalitycs), 34,096 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/hranalitycs.
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.