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Channel

ИНСАЙТ-АНАЛИТИКА “АЗИМУТ”

@azimuth_insights

On this record: Growth · Engagement · Reactions · Stars · Posts · Cite this entry

365subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002255205806
TypeChannel
Username@azimuth_insights
CreatedBetween 1 October 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 30 August 2026
On Telegramt.me/azimuth_insights

Growth

365368366.57 August 2026 — 368 subscribers8 August 2026 — 368 subscribers15 August 2026 — 367 subscribers23 August 2026 — 365 subscribers7 August 202623 August 2026
4 measurements spanning 16 days, net -3. 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 365–368 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 09:58365-2
15 Aug 2026, 00:14367-1
8 Aug 2026, 06:20368no change
7 Aug 2026, 14:04368first reading

Engagement

20 posts held, back to 1 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 2 December 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

185 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 39.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥7339.5%
6334.1%
👍4825.9%
🥰10.541%

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 14 of the 20 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 185 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 1 April 2025 to 2 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
15
across the posts below
Posts paid on
6
of 20 we hold a reading for · 30%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @azimuth_insights. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 1 April 2025 to 2 December 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

2 Dec 2025, 10:56 UTC368 views8 reactions1 Starread 8 August 2026

Коллеги, вебинар про метод “360 градусов” - через 5 минут, еще можно успеть. Запись будет обязательно! https://my.mts-link.ru/j/90323255/8141349029/stream-new/7829003191

5🔥2🥰1

6 Nov 2025, 08:50 UTC439 views16 reactions3 Starsread 8 August 2026

Про дифференцирующую силу вопросов И как она может помочь в изучении коллектива Речь про тестовые вопросы. Если что и отличает «хорошие» вопросы от «плохих», то это как раз дифференцирующая сила. Помните, основное назначение теста – отделять людей, обладающих измеряемым свойством, от необладающих. И вопрос с высокой дифференцирующей силой делает именно это: по тому, как человек на него отвечает, сразу видно — прина

🔥9👍43

24 Sept 2025, 12:21 UTC466 views17 reactions2 Starsread 8 August 2026

Про прогностические модели и Random Forest На вебинаре в конце августа я впервые решился рассказать на HR-аудиторию про Random Forest. Ну это такая модель машинного обучения, доступная альтернатива нейронным сетям, отлично подходящая под HR-задачи. И активно используемая в современной HR-аналитике, к сожалению, пока не в российской. Random Forest — модель, которую можно использовать для построения прогнозов и котор

7👍6🔥4

24 Sept 2025, 12:21 UTC323 viewsread 8 August 2026
Photo

Дерево принятия решений – прогноз увольнения

25 Aug 2025, 06:42 UTC497 views10 reactions2 Starsread 8 August 2026

Коллеги, доброе утро! Чуть больше, чем через час, в 11:00 по Москве хочу повторить вебинар про оценку потенциала, и про прогнозы на основе результатов тестирования. В этот раз – чуть подробнее про построение прогностических моделей - как настроить прогноз успешности (или даже прогноз увольнения) под свою компанию. Ну и про темную тетраду очень хочется подробнее рассказать — как сильно недооцененную модель для оценк

👍63🔥1

20 Aug 2025, 09:45 UTC445 views14 reactions3 Starsread 8 August 2026

Forced-choice — тесты с вынужденным выбором: «честнее», но сложнее Forced-choice (или «квази-ипсативный» опросник) — это «новая» форма опросников, где человеку показывают сразу несколько утверждений и просят выбрать между ними, расположить их по степени предпочтения. Как на иллюстрации – выбор между ответами на вопрос: «почему вы работаете в компании?» Выбрать, все равно, придется все утверждения в группе, поэтому

🔥9👍32

12 Aug 2025, 08:49 UTC≈2,330 views12 reactions4 Starsread 8 August 2026

Друзья и коллеги! Для участников недавнего вебинара Алексея Каптерева с лекцией про модель HEXACO мы подготовили доступ к тесту по этой модели. И я, честного говоря, был поражен интересом людей к тестированию. Наш тест прошли в полтора раза больше респондентов, чем было участников вебинара — я такое впервые видел! Мы подумали «ничего себе!», и решили запустить новый партнерский проект — телеграм-бота, который позво

8🔥4

24 Jul 2025, 06:40 UTC453 views19 reactionsread 8 August 2026

Про «Темную тетраду» Есть одна сильно недооцененная тема в HR-оценке, особенно, когда дело касается оценки перспектив и потенциала. И рисков. Я про оценку черт, входящих в «Темную тетраду». Темная тетрада включает четыре поведенческие черты: — нарциссизм; — макиавеллизм; — психопатия; — садизм. Названия черт выглядят очень проблемными, особенно, когда речь о психически-здоровых людях, с которыми мы живем жизн

🔥13👍6

Showing the 12 most recent of 20 posts we hold for @azimuth_insights. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“ИНСАЙТ-АНАЛИТИКА “АЗИМУТ”” (@azimuth_insights), 365 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/azimuth_insights.

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.