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 14 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
17 measurements spanning 64 days, net +143. 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 3,391–3,579 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Oct 2026, 22:37
3,557
+40
4 Oct 2026, 22:16
3,517
-16
25 Sept 2026, 19:36
3,533
+39
15 Sept 2026, 17:21
3,494
-7
11 Sept 2026, 20:35
3,501
-15
7 Sept 2026, 07:36
3,516
+25
2 Sept 2026, 13:15
3,491
-5
30 Aug 2026, 19:34
3,496
-4
27 Aug 2026, 14:17
3,500
-13
24 Aug 2026, 13:53
3,513
+23
21 Aug 2026, 00:41
3,490
+42
18 Aug 2026, 07:03
3,448
-4
14 Aug 2026, 22:48
3,452
+14
11 Aug 2026, 08:18
3,438
+25
8 Aug 2026, 17:41
3,413
-1
7 Aug 2026, 20:01
3,414
no change
7 Aug 2026, 19:21
3,414
first reading
Engagement
10 posts held, back to 16 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 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 10 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 21s
Average length
41s
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
55 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 41.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
23
41.8%
🔥
17
30.9%
👍
9
16.4%
🏆
4
7.27%
👏
1
1.82%
🤩
1
1.82%
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 9 of the 10 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 55 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 16 July 2026 to 7 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @talent_q. 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 10 most recent posts we hold for this entry, published 16 July 2026 to 7 August 2026. 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.
А какой подход ближе вам? Используете ли вы мотивационные опросники при отборе и на каком этапе? 🙂
Да, на финальном этапе25%
Да, но не на финальном этапе, а раньше75%
Да, но не используем опросники: оцениваем мотивацию через интервью и поведенческие вопросы0%
Нет, в нашей сфере важнее скорость найма и навыки. Факторы мотивации отслеживаем в процессе работы25%
Еще не пробовали, но интересно25%
The shares total 150%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Принимая кадровые решения, часто во главу угла ставится опыт, hard & soft skills. А вот мотивационное соответствие — насколько стремления человека совпадают с ценностями и культурой компании — нередко остаются на потом.
И зря.
Особенно если речь идет об управленческих ролях.
Мотивация — это не просто «хочет ли человек работать», это то, в какую сторону он будет двигать процессы и какую культуру транслировать коман…
13-14 августа, 17-18 августа проведем
3й модуль ШКОЛЫ ОЦЕНЩИКА
🤩 Обсудим и проработаем две объемные темы:
🌟Оценка «360 градусов» и
🌟Создание ИПР (индивидуальных планов развития) 🤩
Первые два дня тренинга эксперты Talent Q посвятят
🔳ключевым особенностям оценки «360» (начиная со стадии целеполагания),
🔳преимуществам и возможным препятствиями для реализации метода,
🔳рекомендациям по повышению эффективности применен…
📆 Календарь HR-событий на конец АВГУСТА-СЕНТЯБРЬ 2026
Уважаемые коллеги, вы уже видели расписание HR-мероприятий на август-сентябрь 2026?
Традиционно бизнес-год начинается концентрированно и мощно! Мы с командой выбираем, какие именно Форумы/конференции посетить и где выступить нашим спикерам. Делимся подборкой с вами и ждем встреч!
🔗 ссылки — активные.
Август 2026
🟧7 августа
Онлайн,
Интерактивная конференция Де…
🏆 Кейс-тест «Контекст Про» —
"та самая" психометрическая методика...
«Контекст Про» — та психометрическая методика, которая не просто измеряет числовой и вербально-логический интеллект, а показывает, насколько успешно кандидат или действующий руководитель применяет свои способности для решения рабочих задач. Ведь управленцам приходится постоянно искать оптимальные подходы на пересечении данных и смыслов.
Контекст ти…
27-29 июля —
Сертификационный семинар «Система оценки компетенций Навигатор (Navigator)»
✅ Что вы освоите на обучении?
🔵Психометрическую архитектуру опросника: как устроены шкалы, как работает IRT-механизм и защита от социальной желательности (ипсативное предъявление, коррекционные шкалы);
🔵Интерпретацию результатов: чтение индивидуальных и групповых отчётов, анализ соответствия целевому профилю, определение зон ри…
Давайте честно: мы с вами давно знаем, что выгорание — это не про «лень» или «плохое настроение». Это про потерю денег, текучку кадров, разбитые команды.
🔑 Мы разработали инструмент оценки выгорания «Аларм-тест» — полноценную диагностическую систему для HR и руководителей, которая не просто дает ответ «есть выгорание или нет», а раскладывает состояние сотрудника по уровням и показывает:
🚀 Общую стадию выгорания — о…
Сформировать команду.
Эффективную и успешную.
🔵 как отобрать нужных людей из большого пула кандидатов или
🔵 как распределить всех имеющихся сотрудников по чётко определённому числу команд
🔵и при этом собрать сбалансированные команды, где участники дополняют друг друга по своим личностным характеристикам?
К нам часто обращаются с такими вопросами. И, да, в компаниях такие задачи часто решаются вручную: команды соста…
❤6🔥5🏆2👍1
Showing the 10 most recent of 10 posts we hold for @talent_q. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
А какой подход ближе вам? Используете ли вы мотивационные опросники при отборе и на каком этапе? 🙂
Да, на финальном этапе25%
Да, но не на финальном этапе, а раньше75%
Да, но не используем опросники: оцениваем мотивацию через интервью и поведенческие вопросы0%
Нет, в нашей сфере важнее скорость найма и навыки. Факторы мотивации отслеживаем в процессе работы25%
Еще не пробовали, но интересно25%
The shares total 150%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 10 most recent posts we hold, published 16 July 2026 to 7 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 10 October 2026 — this
entry's latest reading, not the date you are reading this.
“Talent Q Pro” (@talent_q), 3,557 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/talent_q.
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.