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Channel

ЭКОПСИ Assessment Point

@digital_assessment

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

9,411subscribers

-25 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-1001135928681
TypeChannel
Username@digital_assessment
CreatedBetween 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/digital_assessment

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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

9,4099,4599,4346 August 2026 — 9,436 subscribers6 August 2026 — 9,433 subscribers9 August 2026 — 9,423 subscribers12 August 2026 — 9,455 subscribers15 August 2026 — 9,459 subscribers18 August 2026 — 9,456 subscribers25 August 2026 — 9,445 subscribers28 August 2026 — 9,444 subscribers31 August 2026 — 9,433 subscribers3 September 2026 — 9,424 subscribers9 September 2026 — 9,418 subscribers12 September 2026 — 9,409 subscribers17 September 2026 — 9,411 subscribers9,4116 August 202617 September 2026
13 measurements spanning 42 days, net -25. 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 9,402–9,467 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 07:599,411+2
12 Sept 2026, 22:589,409-9
9 Sept 2026, 03:599,418-6
3 Sept 2026, 23:589,424-9
31 Aug 2026, 08:059,433-11
28 Aug 2026, 06:539,444-1
25 Aug 2026, 03:299,445-11
18 Aug 2026, 15:499,456-3
15 Aug 2026, 06:529,459+4
12 Aug 2026, 07:319,455+32
9 Aug 2026, 15:119,423-10
6 Aug 2026, 10:009,433-3
6 Aug 2026, 05:479,436first reading

Engagement

33 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 34 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.90%
avg views ÷ 9,411 subscribers
Avg views / post
461
3 posts measured
Reaction rate
3.61%
reactions ÷ views · ER floor
Posts in window
3
of 33 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
WindowRolling 30 days · latest post in window 28 August 2026
Posts held33 (23 July 202628 August 2026)
Views total1,384
Reactions total50
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:23 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.

Reaction mix

320 reactions across 25 posts, in 7 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁10031.3%
🔥9529.7%
7623.8%
🙏288.75%
👍113.44%
🤩61.88%
💯41.25%

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 30 of the 33 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 374 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 23 July 2026 to 28 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.

Recent posts

26 Aug 2026, 06:04 UTC436 views8 reactionsread 29 August 2026

Отвечаем на вопросы про Орион 💬 На вебинаре-премьере Ориона мы получили много вопросов от участников и решили собрать самые интересные из них в этом посте. Почему Орион состоит именно из трёх опросников? Три аспекта наиболее полно описывают личность для целей самопознания и развития: сильные стороны (таланты), слабые стороны/риски (деструкторы) и движущие силы (ценности). Чем Орион отличается от оценки по Хогану?

🔥43🙏1

24 Aug 2026, 06:03 UTC575 views10 reactionsread 29 August 2026
Photo

Продолжаем разбирать аналитику «Лидеров России» В первой части мы говорили о том, что перфекционизм мешает, конфликт — инструмент переговоров, а капля злопамятности полезна. Во второй части — ещё несколько неочевидных выводов о том, какие команды побеждают. 1️⃣ Возраст важен, но не так, как вы думаете Средний возраст участников высокорезультативных команд — на 3,5% ниже, чем у низкорезультативных. А средний возра

5🔥3🙏2

21 Aug 2026, 10:02 UTC506 views5 reactionsread 29 August 2026
Photo

Нет времени. Нет сил. Нет голоса. О чём молчит внутриком? Операционка съедает время на стратегию, сотрудники выгорают, а иногда остаются в компании, но фактически уже выключаются из работы. 🟣 Именно эти три проблемы будут разбирать 26 августа на «Айс кофе HR» — практической мини-конференции от Агентства Новиковой и канала «Усталый ивентор» в партнёрстве с фондом «Дети наши». В программе: ▪️ Два коротких доклада на

🔥31🙏1

20 Aug 2026, 11:30 UTC555 views8 reactionsread 29 August 2026
Photo

*️⃣ Книжные рекомендации от Арины Коркмаз Выходные — хороший повод отключить уведомления и добраться до книг, которые давно ждут своей очереди. Арина Коркмаз поделилась любимыми авторами и историями, к которым хочется возвращаться. ➡️ Юнас Юнассон, «Сто лет и чемодан денег в придачу» Ироничная история о столетнем старике, который сбегает из дома престарелых и случайно прихватывает чужой чемодан с деньгами. Дальше —

4🔥2🙏2

20 Aug 2026, 06:42 UTC610 views15 reactionsread 29 August 2026
Photo

Онлайн-митап «Оценка руководителей: подходы, решения, результаты» Что происходит за кулисами крупных проектов по оценке руководителей? Как они строятся и с какими сложностями приходится сталкиваться? ➡️ 3 сентября на онлайн-митапе клиенты ЭКОПСИ расскажут о своих кейсах: какие проблемы решали, какие решения принимали и к каким результатам пришли. А эксперты ЭКОПСИ дополнят их истории методологическим разбором — пок

🔥6👍54

18 Aug 2026, 07:45 UTC578 views5 reactionsread 29 August 2026
Photo

🙂🙂🙂🙂 Мифы и реальность: как работать с деструкторами руководителя в коучинге В работе с «тёмными» сторонами руководителей есть устойчивые мифы. Одни ожидают быстрые изменения за три сессии, другие утверждают, что деструкторы невозможно изменить — и это только вершина айсберга. Наши эксперты в статье для HR-eLearning разобрали пять самых частых заблуждений в работе с деструкторами и рассказали чего ожидать от работы

2🔥2🙏1

17 Aug 2026, 11:12 UTC632 views19 reactionsread 29 August 2026

Как построить оценочный бизнес: 17 уроков от Роберта Хогана Автор: Юрий Шатров Сейчас тесты Хогана в России официально не купить, а жаль: как мне по мне, это сильный провайдер с сильной командой в РФ, и находиться с ним на одном рынке мне было интересно. ➡️ По этому поводу вспомнил статью Роберта Хогана 2020 года: 17 уроков построения оценочного бизнеса — в том порядке, в котором он их постигал. Ниже выжимка стать

🔥116🙏2

13 Aug 2026, 11:02 UTC750 views21 reactionsread 29 August 2026
Photo

Выступаю со стендапом Автор: Юрий Шатров 18 августа в Москве — HR-Стендап «Кадры решают»: восемь спикеров из индустрии шутят про наём, вовлечённость, exit-интервью и прочие особенности профессии. Я — про жизнь оценщика и про две личные темы. Какие — приходите, узнаете. Вечер проходит в котокафе, и 100% денег с билетов идут котикам — на корм и ветеринара. Так что польза точно будет. 📍 18 августа, сбор с 19:00, стен

🔥109🙏2

13 Aug 2026, 07:34 UTC680 views20 reactionsread 29 August 2026

Исследования в оценке персонала | Июль 2026 Автор: Юрий Шатров Люблю читать научные статьи по оценке и смежным областями, и иногда делюсь с вами самыми интересными. Вот то, что поймал за июль и часть августа ⬇️ 1️⃣ Первое впечатление о человеке — одна общая оценка, скорее хорошая или плохая, а не набор отдельных черт. По сути, это метаанализ гало-эффекта на 204 выборках. Впечатления о компетентности и теплоте корре

7🔥6👍4🙏3

Showing the 12 most recent of 33 posts we hold for @digital_assessment. 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.

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 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.

Логика молока
@logikamoloka · 32,600
Telegram ranks this channel #51 of 76 here — alongside 75 others — read 5 September 2026
topcareer
@topcareerschool · 23,471
Telegram ranks this channel #68 of 100 here — alongside 99 others — read 18 September 2026
HR-аналитика
@hranalitycs · 34,144
Telegram ranks this channel #68 of 100 here — alongside 99 others — read 3 September 2026
Пригодится! 🍎 Библиотека для HR
@savetoreadlater · 22,278
Telegram ranks this channel #70 of 100 here — alongside 99 others — read 21 September 2026
СберУниверситет
@sber_university · 24,108
Telegram ranks this channel #83 of 100 here — alongside 99 others — read 17 September 2026
HR[хаб]вакансии
@hrhubvacancy · 22,415
Telegram ranks this channel #95 of 100 here — alongside 99 others — read 20 September 2026

This channel appears in 6 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“ЭКОПСИ Assessment Point” (@digital_assessment), 9,411 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/digital_assessment.

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.