Автор Ольга Балицкая
https://www.gosuslugi.ru/snet/690b5895064eca2d2898b2de
📌 Обзоры и тренды рынка труда
📌 Практические кейсы в менеджменте
📌 Записи и материалы с публичных выступлений
сотрудничество @alicesvo
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 83% 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 the other topics.
Growth
23 measurements spanning 90 days, net -218. 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 9,725–10,009 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
5 Nov 2026, 09:59
9,758
-24
1 Nov 2026, 22:54
9,782
-12
29 Oct 2026, 23:37
9,794
-14
26 Oct 2026, 17:35
9,808
-14
24 Oct 2026, 04:11
9,822
-3
21 Oct 2026, 05:50
9,825
-10
17 Oct 2026, 23:00
9,835
-2
11 Oct 2026, 11:22
9,837
-1
4 Oct 2026, 17:18
9,838
-50
24 Sept 2026, 22:19
9,888
-11
12 Sept 2026, 06:40
9,899
-1
8 Sept 2026, 09:20
9,900
-10
3 Sept 2026, 09:33
9,910
-11
31 Aug 2026, 12:16
9,921
-21
28 Aug 2026, 12:46
9,942
+27
25 Aug 2026, 05:47
9,915
-10
22 Aug 2026, 10:38
9,925
-5
18 Aug 2026, 18:22
9,930
-6
16 Aug 2026, 04:55
9,936
-3
12 Aug 2026, 17:22
9,939
first reading
Engagement
62 posts held, back to 19 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 50 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.05%
avg views ÷ 9,758 subscribers
Avg views / post
688
21 posts measured
Reaction rate
2.62%
reactions ÷ views · ER floor
Posts in window
21
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 6 November 2026
Posts held
62 (19 July 2026 – 6 November 2026)
Views total
14,456
Reactions total
379
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 09:13 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
698
Videos
77
Links
482
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
8s
Average length
8s
Measured directly from 1 video 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
1,451 reactions across 58 posts, in 17 distinct kinds. The most used accounts for 32.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
472
32.5%
🔥
440
30.3%
💯
208
14.3%
👍
130
8.96%
😁
118
8.13%
custom 5438489737125975601
20
1.38%
⚡
15
1.03%
🏆
10
0.689%
🆒
7
0.482%
👌
7
0.482%
custom 5433823461317301154
6
0.414%
✍
6
0.414%
🤔
6
0.414%
👻
3
0.207%
🌚
1
0.069%
🕊
1
0.069%
🤷♀
1
0.069%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 59 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 1,451 reactions 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 19 July 2026 to 6 November 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
2
across the posts below
Posts paid on
2
of 61 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @TheBalitskaya. 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 62 most recent posts we hold for this entry, published 19 July 2026 to 6 November 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.
Advertising
Ad load
8.06%
5 of 62 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
557
over 5 measured posts
Median views · rest
919
over 56 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
2VSb5z5sQmY
1
3 November 2026
3 November 2026
2VtzqvQhDiW
1
6 November 2026
6 November 2026
2Vtzqx5G9pi
1
31 October 2026
31 October 2026
2W5zFJJAduK
1
28 August 2026
28 August 2026
CQH36pWzJqVHsjNDeAreQGj96FLvcPNHCChWyb9Li1W3nE
1
25 August 2026
25 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.
Measured over the 62 most recent posts we hold, published 19 July 2026 to 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 21 posts held from the last 30 days (9.52%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Переписка с кандидатами — без лишних переключений
Когда подбором занимается небольшая команда HR, а вакансию нужно закрыть вчера, важно оперативно связываться с кандидатами.
Обычные мессенджеры заметно уступают в этом вопросе чату hh.ru, в котором кандидаты отвечают гораздо быстрее. К тому же в чате присутствует ряд полезных функций для найма:
Открывайте резюме и краткую выжимку из него, не выходя из диалога.
Уп…
Чем больше аудитория, тем меньше задают вопросы
Замечали ли вы, что чем больше группа людей, тем больше «тишины» на встрече?
В принципе раскачать на хорошие вопросы или конструктивную реакцию непросто. Участники как будто бы немного прячутся друг за друга.
Я, чтобы понять, что делать в таких ситуациях, как-то поспрашивала участников групповых встреч.
Что услышала:
▪️что, если скажу ерунду
▪️похоже всем очевидно, …
Треть офисных сотрудников признались, что саботируют внедрение ИИ в своей компании 🙃
Пока готовилась ко вчерашней конференции, наткнулась на опрос Writer и Workplace Intelligence, который они провели весной 2026 года. Опросили 2400 человек в США, Великобритании и Европе, половина из них топ-менеджеры (Fortune, 8 апреля 2026).
Выяснили, что треть сотрудников — саботажники, из которых 44% зумеры.
Как именно саботир…
Как полюбить ноябрь? 🍁
У меня есть только одна гениальная идея - проспать его.
Очнуться уже в декабре.
Что вы делаете, когда вот это вот все и сразу: серость, холод, отсутствие солнца, сонливость?
История одного собеседования
Когда в прошлом году я читала книге Десять образов нашего будущего, я не ожидала, что оно наступит так быстро.
Binance рассказал, как его взломали. Хакеры попали внутрь через подменённую программу, фальшивое собеседование и внутренний ИИ-инструмент самой биржи.
Подготовка заняла почти пять месяцев.
Июнь. DevOps инженер A из команды, которая отвечает за кошельки, искал в поисковике попу…
Устойчивое лидерство: бесплатный гайд для руководителей 📚
Сегодня от руководителя ждут не только выполнения краткосрочных планов. Важно учитывать, как принятые решения повлияют на бизнес, команду и окружающую среду в долгосрочной перспективе. Именно на этом строится устойчивое лидерство.
В гайде от корпоративного университета УТРО собраны практические инструменты, которые помогут:
✅разобраться, чем устойчивое лиде…
Рынок труда от Авито
Все-таки питаю я слабость к отчетам о рынке труда Авито.
▪️выходят раз в квартал. По мне так это нормальная периодичность.
▪️всегда к общерыночным трендам добавляют какую-то интересную тему
В этот раз тема номера: вахта.
Хоть я никогда в бытность своего HR-ства не имела опыта с вахтой, я с любопытством пролистала отчет. Потому что имею некоторые знания как это организовано в других странах. Б…
Управление ожиданиями
Если бы меня попросили назвать один навык, который я бы попросила у «феи крестной», в начале своей карьеры, я бы назвала не стратегическое мышление и не харизму. А умение управлять ожиданиями.
Скольких конфликтных ситуаций я могла бы избежать.
На недавней регате случилась просто классика, когда ожидания максимально разъехались с реальностью. Итог - испорченный отпуск.
Погода в этот раз была …
❗️ Внедрение ИИ в компании стоит начинать не с выбора инструментов, а с понимания, где он действительно сэкономит время, как оценить эффект и какие задачи бизнеса должен решить.
Разберите эти вопросы с топовым экспертом из Яндекса и НИУ ВШЭ на бесплатной консультации при покупке любой программы ИИ-тренингов до конца ноября.
Формат: 1 час с предварительным брифингом. Тему согласуем заранее.
Что вас ждёт:
➡️ Обсудим…
Что будет, если убрать из компании всех людей?
Мечта последних двух лет - организация без сотрудников. Ни больничных, ни проблем с наймом, ни совещаний, ни растущего ФОТ. Только ИИ-агенты, которые просто работают.
General Reasoning построили такую компанию. Модель Avalon-M1: CEO-агент сам нанимает до 8 специалистов, все общаются через мессенджер с каналами и личками, а вознаграждение команда получает одно на всех.…
Какое милое исследование. Даже непонятно здорово ли что ии агенты копируют человеческие модели или нет. Или это просто этап к следующему уровню.
❤1👌1💯1
Showing the 12 most recent of 62 posts we hold for @TheBalitskaya. 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
@TheBalitskaya edited 1 post 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
12 August 2026
Most recent edit
12 August 2026
Posts recorded as deleted after publishing
We recorded 7 posts on @TheBalitskaya as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
8 August 2026
Most recent seen missing
28 August 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
0
Polls
The 6 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 105%, 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.
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is 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 62 most recent posts we hold, published 19 July 2026 to 6 November 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.
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.
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.
Пригодится! 🍎 Библиотека для HR @savetoreadlater · 22,093 Telegram ranks this channel #4 of 100 here — alongside 99 others — read 21 September 2026
Эйчаргейт| Перезагрузка @hrgate · 56,981 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 28 August 2026
Ольга Абрамова про переговоры @HRD_mediator · 28,318 Telegram ranks this channel #8 of 99 here — alongside 98 others — read 9 September 2026
РОЛЬФ @rolf_company · 150,809 Telegram ranks this channel #14 of 71 here — alongside 70 others — read 21 August 2026
Зайдите в кадры! @kadrovoedelojournal · 30,652 Telegram ranks this channel #17 of 100 here — alongside 99 others — read 6 September 2026
WTF_HR @WTF_HR · 19,221 Telegram ranks this channel #22 of 99 here — alongside 98 others — read 2 October 2026
topcareer @topcareerschool · 23,213 Telegram ranks this channel #23 of 100 here — alongside 99 others — read 18 September 2026
Лидерская позиция | Андрей Шапенко @leadership_position · 27,449 Telegram ranks this channel #26 of 98 here — alongside 97 others — read 11 September 2026
Филипп Гузенюк I Счастье в деятельности @guzenuk · 22,037 Telegram ranks this channel #28 of 99 here — alongside 98 others — read 21 September 2026
Я Топ @i_top_groups · 19,284 Telegram ranks this channel #29 of 100 here — alongside 99 others — read 5 October 2026
The Future Of Work @thefutureofwork · 21,113 Telegram ranks this channel #29 of 99 here — alongside 98 others — read 26 September 2026
Управление персоналом | hr, карьера, кадры @secrets_hr · 21,873 Telegram ranks this channel #33 of 93 here — alongside 92 others — read 22 September 2026
Альфа-Курс @alfa_course · 20,397 Telegram ranks this channel #37 of 88 here — alongside 87 others — read 26 September 2026
Самородов Про АвтоБизнес @protradein · 34,070 Telegram ranks this channel #38 of 78 here — alongside 77 others — read 3 September 2026
Полезное для Кадровика @trud_krut · 23,339 Telegram ranks this channel #39 of 96 here — alongside 95 others — read 18 September 2026
HR-аналитика @hranalitycs · 34,236 Telegram ranks this channel #40 of 100 here — alongside 99 others — read 3 September 2026
Haraba Авто @haraba_telega · 21,826 Telegram ranks this channel #43 of 46 here — alongside 45 others — read 22 September 2026
Лаборатория Карьеры @careerlaboratory · 51,150 Telegram ranks this channel #47 of 99 here — alongside 98 others — read 25 August 2026
Авито Работа @avito_jobs · 21,271 Telegram ranks this channel #48 of 97 here — alongside 96 others — read 23 September 2026
Авто.ру | Для профессионалов @autoru_profi · 24,270 Telegram ranks this channel #51 of 71 here — alongside 70 others — read 17 September 2026
ДЕНИС МИГАЛЬ @den_migal · 69,704 Telegram ranks this channel #54 of 78 here — alongside 77 others — read 19 August 2026
Хабр Карьера @habr_career · 33,709 Telegram ranks this channel #65 of 97 here — alongside 96 others — read 4 September 2026
TOP LEVEL JOB [топ вакансии для руководителей] @toplevel_job · 20,828 Telegram ranks this channel #66 of 100 here — alongside 99 others — read 26 September 2026
СберУниверситет @sber_university · 24,305 Telegram ranks this channel #70 of 100 here — alongside 99 others — read 17 September 2026
This channel appears in 28 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Балицкая / TheBalitskaya” (@TheBalitskaya), 9,758 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/TheBalitskaya.
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.