Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 68% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
7,930 average views per post against 6,384 subscribers — an engagement rate of 124.3%. Across the 40,483 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Russian — the middle half sit between 7.15% and 26.5%, with a median of 14.2%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
30 of 30 published in the window (2 exact, 28 rounded by Telegram)
Views totalled
238,009
Mature posts only
132.4% over 28 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
5 measurements spanning 6 days, net +36. 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 6,332–6,400 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 07:31
6,384
-8
9 Aug 2026, 13:23
6,392
+52
6 Aug 2026, 17:00
6,340
-8
6 Aug 2026, 03:21
6,348
no change
6 Aug 2026, 00:48
6,348
first reading
Engagement
30 posts held, back to 23 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
124.3%
avg views ÷ 6,384 subscribers
Avg views / post
7,930
30 posts measured
Reaction rate
0.393%
reactions ÷ views · ER floor
Posts in window
30
of 30 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 11 August 2026
Posts held
30 (23 July 2026 – 11 August 2026)
Views total
238,009
Reactions total
935
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:13 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
Video runtime
7m 58s
Average length
2m 00s
Measured directly from 4 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
823 reactions across 27 posts, in 25 distinct kinds. The most used accounts for 23.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
191
23.2%
👍
167
20.3%
🤣
124
15.1%
💯
102
12.4%
🔥
57
6.93%
❤
48
5.83%
👀
34
4.13%
🤡
24
2.92%
🤬
23
2.79%
⚡
8
0.972%
😱
7
0.851%
🤪
6
0.729%
🤮
6
0.729%
👏
5
0.608%
👌
4
0.486%
👎
4
0.486%
💩
2
0.243%
🖕
2
0.243%
🙈
2
0.243%
🙏
2
0.243%
5 further kinds
5
0.608%
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 30 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 935reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 23 July 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.
Герман Клименко советует готовиться к штрафам за рекламу в Telegram
"Я бы прямо сейчас, до разъяснений, не продлевал подписку, потому что, если Дуров* — экстремист и террорист, то он бенефициар Telegram.
Значит, любые платежи при покупке звезд по сути его поддержка, мы не знаем, как суд может это протрактовать.
Прямо сейчас я советую тем, кто размещает рекламу в Telegram готовиться к тому, что он повторит судьбу F…
"Яблоко" сняли с выборов. Вспомнил, как в 2011 году у Прохорова забрали партию "Правое дело". Не помню, почему тогда что-то пошло не так, но когда это "не так" стало очевидно, политтехнолог Богданов аккуратно и технично отодвинул Прохорова от руководства партии.
Прохоров такого не ожидал. Просто даже не понял, как это произошло.
Так вот помню, как тогда по ТВ появился с комментариями Явлинский. Похохатывая, он прок…
Знакомый сейчас в перевозбужденно усталом состоянии рассказывал, как его сын поступил в МГУ. Объяснял, что в этом году на престижные специальности одних высоких балов по ЕГЭ и даже внутреннему экзамену уже может не хватить. Как в спорте высших достижений важны доли секунды, так и тут включаются дополнительные факторы: два бала дают за значок ГТО, что-то за волонтерские часы, олимпиады и т.п. - в сумме до 10 лишних б…
Сказка про Колобка всегда была в категории ясельного возраста - её читали детям года в три. Никого глубокого смысла, никакой особой морали. Фактически, введение ребёнка в круг персонажей, которые будут окружать его дальше: дедушка-бабушка, заяц, лиса.
Но вот тут выпустили фильм "Последний богатырь. Колобок". Которым заместили в кинотеатрах "Человека-паука". Фанаты последнего начали возмущаться. Появились сообщения, …
Сможет ли цифровая экономика "выкинуть с борта истории" классическую, поспорили Хазин и Клименко
"Я цифровая экономика, а вы просто экономист. У меня все новое, есть странное авторское право, так как существует бесконечное количество бесплатных копий.
Мы многое что привнесли, а вы немножечко устарели.
Если говорить о рамках, то за 5 лет мы вас не подвинем. Не сможем занять эту нишу, потому что всегда много эмоций"…
📌 "ХЗ: Хазин знает" с Михаилом Хазиным в эфире радио Sputnik
Цифровая экономика, влияние ИИ на экономику
Гость: председатель Совета Фонда развития цифровой экономики Герман Клименко
Начинаем в 17:05. Слушайте на частоте 91.2 FM Москва | 91.5 FM Питер
Смотрите здесь — ВК | RUTUBE | ОК | Telegram
📌Подписаться на Радио Sputnik в МАКС
Как бы «Оземпик» не вызвал диабет у экономики
Мы все ждали неприятностей от искусственного интеллекта. Думали, что он оставит без работы программистов, журналистов и дизайнеров.
А прилетело вообще с другой стороны.
Не робот.
Не Китай.
Не кризис.
Обычный укол от диабета.
Ozempic, Mounjaro, Wegovy и их аналоги неожиданно начали менять не только людей, но и целые отрасли экономики.
Логика простая: человек меньше…
Вчера очередным постановлением правительства в стране разрешили продажу бензина стандарта уже не только Евро-3, но и Евро-2. Дефицит не исчез. Под эту новость задумался, а сколько горючего на руках у населения? Ну да, вот именно так, как золота, наличных долларов, гречки и тушенки.
Приятель (человек не бедный, топ-менеджер известной корпорации, ездит на новом Volvo) достал из сарая ещё отцовские советские 20-литр…
Второй день обсуждают увольнение по собственному желанию ректора ГИТИСа. "Ведомости" намекает, что желание это спровоцировано проверкой МВД.
Ничего не знаю ни про ГИТИС, ни про его ректора. Но вот сам факт этого увольнения кажется знаковым. Ведь как говорил Жванецкий, «может, что-то в консерватории подправить?»
Как работают дистанционные активаторы СБУ? Есть ли способы глушить такие сигналы? Рассказал Герман Клименко
"С дистанционным подрывом важен вопрос расстояния. Как бы мы ни глушили, но работают автомобильные сигнализации. А передача сигнала на активаторы идет через обыкновенный радиосигнал.
Сейчас глушат GSM частоты, поэтому СМС отправить нельзя, но во всем городе глушить абсолютно все частоты сложно", — объяснил он…
👍12
Signed Герман Клименко
Showing the 12 most recent of 30 posts we hold for @germanklimenko. 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 — 111,454 of 1,151,006entries 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 11 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@germanklimenko named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@radio_sputnik named in 2 posts, 8 August 2026 – 9 August 2026
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Клименко cоветует” (@germanklimenko), 6,384 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/germanklimenko.
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.
