5 measurements spanning 10 days, net -49. 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 6,088–6,151 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 09:28
6,095
-13
13 Aug 2026, 17:15
6,108
-12
11 Aug 2026, 01:56
6,120
-22
7 Aug 2026, 16:11
6,142
-2
7 Aug 2026, 10:46
6,144
first reading
Engagement
20 posts held, back to 1 May 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
5.61%
avg views ÷ 6,095 subscribers
Avg views / post
342
11 posts measured
Reaction rate
3.83%
reactions ÷ views · ER floor
Posts in window
11
of 20 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. It is computed over the 10 of 11 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
20 (1 May 2026 – 11 August 2026)
Views total
3,761
Reactions total
127
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:31 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
Video runtime
59s
Average length
59s
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
324 reactions across 19 posts, in 19 distinct kinds. The most used accounts for 39.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
127
39.2%
❤
95
29.3%
👍
26
8.02%
❤🔥
21
6.48%
⚡
11
3.40%
💯
7
2.16%
👀
6
1.85%
🤔
6
1.85%
😁
5
1.54%
🤡
5
1.54%
🎉
3
0.926%
🙏
3
0.926%
👏
2
0.617%
💅
2
0.617%
👌
1
0.309%
😐
1
0.309%
😭
1
0.309%
🤗
1
0.309%
🤣
1
0.309%
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 19 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 324reactions 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 May 2026 to 11 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
2
across the posts below
Posts paid on
2
of 20 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 @julstrel_updates. 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 May 2026 to 11 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.
Готова поспорить, что никто из моих HR-читателей еще не работал над вакансией “философа”. А скоро придется...
ИИ-компании довольно энергично нанимают философов – про это уже написали The Atlantic, Wired, Guardian, Financial Times. А The Economist опубликовал статистику, что выпускники философских факультетов находят работу даже лучше, чем инженеры (интересно, заголовок "Forget Python, study Plato" ИИ придумал или жи…
Последний пост про соционику и начнем исследовать другие темы. Тут уже был пост про историю про подход в целом, а тут — про варианты отношений между типами личности.
Не знаю, насколько вы зафиксировали внимание на идее "дуальных отношений", но, имхо, это самая интересная идея во всей соционике. Ради нее я и начала все это писать.
Сейчас идея тандемного управления как будто бы все больше кажется привлекательной. В п…
🔝🔝🔝 Я сама больше сосредоточена на содержательной части конференции “Больше чем обучение”. Но мне очень нравится идея, которая у нас появилась пару лет назад и, надеюсь, станет традицией: во время конференции выставлять в фойе кампуса работы современных художников. Буду очень рада, если получится познакомиться с новыми интересными и близкими по мировоззрению именами.
OPEN CALL для художников, галерей и творческих объединений 💻
СберУниверситет объявляет открытый отбор художественных проектов для флагманской конференции «Больше чем обучение». Это крупнейшее мероприятие про обучение и развитие человека, которое ежегодно собирает 1000+ руководителей: первых лиц крупнейших компаний страны, лидеров образовательной индустрии, а также представителей культуры.
Больше 1000+ гостей участв…
Продолжаем рассуждать про соционику, начало тут.
Мне кажется, что самое прикольное в соционике — это 14 вариантов отношений между типами. Если MBTI скорее заточен на коммерческое использование, то соционистов активно интересовали личные отношения, и они много думали об этом (вот и говорите, что в СССР любви не было...).
Конечно, эти таблицы отношений – чистое теоретизирование, я никогда не слышала про серьезную до…
17 августа в моём родном кампусе СберУниверситета близкие и любимые коллеги проводят классную конференцию «Мосты» — о внутрикорпоративных сообществах и внутренних коммуникациях.
Шок-контент: подключиться к онлайн-трансляции конференции может совершенно бесплатно любой желающий! Для бесплатного очного участия нужно оставить заявку на сайте, аргументировать свой интерес к теме сообществ и дождаться подтверждения регис…
Пару слов про соционику.
Соционика и MBTI – это буквально теории-близнецы, разлученные в детстве. Книгу К. Юнга "Психологические типы", опубликованную в 1921, внимательно прочитали мама и дочь Кэтрин Бриггс и Изабель Бриггс Майерс в США (публиковались в 1943), а также Аушра Аугустинавичюте в советской Латвии (1970-е). Майерс и Бриггс придумали MBTI (у меня уже был лонгрид), Аушра — соционику.
И в MBTI и в соционике…
Внезапно: попалась и понравилась цитата Максима Горького:
"Я не ждал помощи извне и не надеялся на счастливый случай, но во мне постепенно развивалось волевое упрямство, и чем труднее слагались условия жизни — тем крепче и даже умнее я чувствовал себя. Я очень рано понял, что человека создаёт его сопротивление окружающей среде."
Всегда очень живо интересовал вопрос оформления рабочих пространств. Мне кажется, главная развилка (и в дизайне дома, и в дизайне офиса) всегда такая:
а) сделать, чтобы себе и близким было хорошо и удобно
б) сделать, чтобы соседям (конкурентам) было плохо и завидно.
И вот офис модной кроссовочной компании On в Цюрихе очень-очень красивый, но как будто все-таки это вариант Б.
Что думаем?
Конечно, не могу не написать про Одиссею Нолана.
Был старый анекдот про мужика, который лечился у психотерапевта от ночного недержания. И через полгода лечения друг его спрашивает – “Ну как, помог тебе психотерапевт?” – “Да, очень” – “Ты больше не писаешься?” – “Писаюсь, но теперь я горжусь этим”.
Так вот в новой Одиссее все как в анекдоте, только наоборот. Сюжет классический гомеровский, но только теперь мы им не …
Похоже, замена HR-ов на ИИ немного откладывается. Рекрутеры придумали себе pivot и новую строчку в должностной инструкции: собирать секретики конкурентов на интервью с кандидатами.
https://www.nytimes.com/2026/07/10/technology/apple-openai-lawsuit.html
🔥4👀2👏2😁1😐1
Showing the 12 most recent of 20 posts we hold for @julstrel_updates. 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.
Citation-graph rank
Citation-graph rank — 226,125 of 1,480,975entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 1 registered channel — 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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“Рыжий HR | Юлия Стрельцова” (@julstrel_updates), 6,095 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/julstrel_updates.
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.