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 9 September 2026 and assigned it the closest of 31 fixed categories, at 41% 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
35 measurements spanning 52 days, net +31. 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 34,060–34,155 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 19:00
34,128
-16
17 Sept 2026, 10:21
34,144
+11
15 Sept 2026, 12:20
34,133
-1
13 Sept 2026, 21:36
34,134
-4
9 Sept 2026, 21:37
34,138
-3
6 Sept 2026, 15:16
34,141
+5
4 Sept 2026, 05:17
34,136
+12
2 Sept 2026, 18:24
34,124
+9
1 Sept 2026, 17:47
34,115
+2
31 Aug 2026, 20:55
34,113
-8
30 Aug 2026, 23:35
34,121
-1
30 Aug 2026, 00:03
34,122
-1
29 Aug 2026, 03:13
34,123
-1
28 Aug 2026, 04:34
34,124
+6
27 Aug 2026, 06:02
34,118
+3
26 Aug 2026, 04:37
34,115
+6
25 Aug 2026, 03:37
34,109
+5
23 Aug 2026, 20:03
34,104
+8
22 Aug 2026, 04:17
34,096
+9
20 Aug 2026, 18:53
34,087
first reading
Engagement
145 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 87 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.81%
avg views ÷ 34,128 subscribers
Avg views / post
2,320
69 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
69
of 145 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 25 September 2026
Posts held
145 (29 July 2026 – 25 September 2026)
Views total
160,400
Reactions total
1,672
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 06:36 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
≈1,530
Videos
≈77
Links
≈3,720
Lifetime counters from Telegram’s own channel header, read 27 September 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
7m 11s
Average length
1m 48s
Measured directly from 4 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
3,603 reactions across 142 posts, in 42 distinct kinds. The most used accounts for 28.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,008
28.0%
👍
848
23.5%
🔥
549
15.2%
🤣
295
8.19%
👏
142
3.94%
🤔
103
2.86%
🤡
97
2.69%
💯
91
2.53%
😁
88
2.44%
🤯
59
1.64%
👎
46
1.28%
😱
39
1.08%
🙈
35
0.971%
🤬
33
0.916%
❤🔥
17
0.472%
😐
15
0.416%
🗿
14
0.389%
💔
13
0.361%
🍾
12
0.333%
😭
11
0.305%
22 further kinds
88
2.44%
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 145 of the 145 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 3,701 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 145 most recent posts we hold, published 29 July 2026 to 25 September 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
13.8%
20 of 145 posts carry an ad marker
Regulatory tokens
20
posts carrying an erid · 20 distinct tokens
Median views · ads
2,290
over 20 measured posts
Median views · rest
2,510
over 125 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
2SDnjdLNWzP
1
17 September 2026
17 September 2026
2SDnjdcumY7
1
27 August 2026
27 August 2026
2SDnjdkaBi3
1
9 September 2026
9 September 2026
2VSb5xYZeVg
1
1 September 2026
1 September 2026
2VSb5xkMrDx
1
13 August 2026
13 August 2026
2VfnxvbDtGL
1
1 September 2026
1 September 2026
2VfnxxHgM3A
1
8 September 2026
8 September 2026
2VfnxyV1zqa
1
24 September 2026
24 September 2026
2Vtzqutxq9D
1
21 August 2026
21 August 2026
2VtzqvkEbhu
1
26 August 2026
26 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. 8 further tokens are held for this entry and not listed here.
Measured over the 145 most recent posts we hold, published 29 July 2026 to 25 September 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.
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Редакция нашего канала считает, что вот такая шпаргалка снимает все вопросы по поводу пирамиды. И заод…
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1 октября в 10:30 (МСК) Changellenge >> проведет бесплатный онлайн-вебинар на тему: «Fast track EVP: как быстро пересобрать EVP всего за 3 месяца».
На вебинаре коллеги разберут:
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Автор: Dr. Christian Poensgen
1.❌ «Я открыт к чему угодно».
Почему: звучит так, будто вы сами не знаете, чего хотите.
✅ «Меня особенно привлекает эта роль, потому что она совпадает с моим опытом в [конкретный навык/отрасль]».
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Я решил проверить в цифрах. Взял население страны, число выдач гражданств и сравнил доли.
Самое слабое место – считал именно гражданства, потому что далеко …
Нанимать по-старинке больше нельзя 😭
Как HR перестроить наем на новые рельсы и быть в тренде расскажем на офлайн-конференции Хантфлоу в Санкт-Петербурге 1 октября.
Зарегистрироваться
Главными инсайтами 2026 года поделятся эксперты Первой Портовой Компании, ФК Пульс, REDDAY, Наймологии и Хантфлоу.
В программе:
— Как превратить кадровый резерв в измеримый инструмент бизнес.
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Этой фразой в Циане описывают 25 лет работы на рынке недвижимости. Компания начинала в 2001 году с Excel-таблицы, а сегодня работает с аудиторией 20 млн пользователей в месяц.
История хорошо показывает, что устойчивость компании не означает неизменность. Наоборот, долгий путь требует способности пересобирать процессы, продукт и подходы к работе, не теряя общего направления.
К 25-летию команда …
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Может поэтому HRD чаще дамы?
🎓Авторы: Mark Van Vugt, Brian Spisak
Вуз: University of Kent (Великобритания)
Год публикации: 2008
Метод
Исследователи собрали группы студентов и предложили им с…
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👍3❤1
Showing the 12 most recent of 145 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 3 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
25 September 2026
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 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 3 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Авито Работа @avito_jobs · 21,452 Telegram ranks this channel #7 of 97 here — alongside 96 others — read 23 September 2026
HR[хаб]вакансии @hrhubvacancy · 22,465 Telegram ranks this channel #7 of 100 here — alongside 99 others — read 20 September 2026
topcareer @topcareerschool · 23,425 Telegram ranks this channel #7 of 100 here — alongside 99 others — read 18 September 2026
Пригодится! 🍎 Библиотека для HR @savetoreadlater · 22,278 Telegram ranks this channel #14 of 100 here — alongside 99 others — read 21 September 2026
The Future Of Work @thefutureofwork · 20,679 Telegram ranks this channel #16 of 99 here — alongside 98 others — read 26 September 2026
Управление персоналом | hr, карьера, кадры @secrets_hr · 21,849 Telegram ranks this channel #18 of 93 here — alongside 92 others — read 22 September 2026
В найме норм! @Vnaime_norm · 81,098 Telegram ranks this channel #26 of 94 here — alongside 93 others — read 18 August 2026
Кадровику @kadroviku · 45,141 Telegram ranks this channel #35 of 93 here — alongside 92 others — read 27 August 2026
hh.ru @hh_ru_official · 90,584 Telegram ranks this channel #37 of 83 here — alongside 82 others — read 10 September 2026
DigitalHR (ДиджиталлЭйчАр): работа | вакансии | рекрутинг | стартапы @digital_hr · 31,686 Telegram ranks this channel #42 of 100 here — alongside 99 others — read 6 September 2026
Skolkovo School of Management @skolkovo_channel · 43,308 Telegram ranks this channel #46 of 100 here — alongside 99 others — read 28 August 2026
ЭКСЕЛЬХАК @excelhackru · 73,606 Telegram ranks this channel #49 of 87 here — alongside 86 others — read 19 August 2026
Живое обучение @prolearning · 20,688 Telegram ranks this channel #51 of 100 here — alongside 99 others — read 26 September 2026
СберУниверситет @sber_university · 24,091 Telegram ranks this channel #64 of 100 here — alongside 99 others — read 17 September 2026
Зайдите в кадры! @kadrovoedelojournal · 30,922 Telegram ranks this channel #73 of 100 here — alongside 99 others — read 6 September 2026
TOP LEVEL JOB [топ вакансии для руководителей] @toplevel_job · 20,587 Telegram ranks this channel #74 of 100 here — alongside 99 others — read 26 September 2026
Рабочие лайфхаки: секреты и советы @lifehackoftheday · 25,674 Telegram ranks this channel #75 of 97 here — alongside 96 others — read 13 September 2026
Get IT @Getitrussia · 21,091 Telegram ranks this channel #97 of 97 here — alongside 96 others — read 24 September 2026
This channel appears in 18 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“HR-аналитика” (@hranalitycs), 34,128 subscribers as measured 26 September 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.