Personal blog — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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
20,100 average views per post against 21,650 subscribers — an engagement rate of 92.6%. Across the 6,050 registered channels in the same cohort — 10,312–31,622 subscribers, posting mainly in Russian — the middle half sit between 5.35% and 23.9%, with a median of 11.6%.
What this was computed from
Window
30 days (2 September 2026 – 2 October 2026)
Posts measured
9 of 9 published in the window (0 exact, 9 rounded by Telegram)
Views totalled
180,470
Mature posts only
92.6% over 9 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 2 October 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
37 measurements spanning 51 days, net +1,060. 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 20,148–21,966 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
26 Sept 2026, 04:21
21,650
-34
19 Sept 2026, 09:58
21,684
+331
16 Sept 2026, 20:58
21,353
-26
14 Sept 2026, 21:37
21,379
-25
13 Sept 2026, 06:38
21,404
-44
11 Sept 2026, 12:41
21,448
-14
8 Sept 2026, 19:20
21,462
-54
5 Sept 2026, 09:35
21,516
-226
3 Sept 2026, 13:01
21,742
-3
2 Sept 2026, 04:18
21,745
-5
1 Sept 2026, 04:13
21,750
+2
31 Aug 2026, 01:44
21,748
+2
30 Aug 2026, 04:34
21,746
-1
29 Aug 2026, 04:03
21,747
-9
28 Aug 2026, 02:13
21,756
+21
26 Aug 2026, 22:56
21,735
+58
25 Aug 2026, 20:27
21,677
+1,319
24 Aug 2026, 21:48
20,358
-54
23 Aug 2026, 08:24
20,412
-26
21 Aug 2026, 21:05
20,438
first reading
Engagement
35 posts held, back to 29 June 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 63 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
92.6%
avg views ÷ 21,650 subscribers
Avg views / post
20,100
9 posts measured
Reaction rate
0.619%
reactions ÷ views · ER floor
Posts in window
9
of 35 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 29 September 2026
Posts held
35 (29 June 2026 – 29 September 2026)
Views total
180,470
Reactions total
1,118
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 14:06 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
118
Videos
64
Links
47
Lifetime counters from Telegram’s own channel header, read 30 September 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
26m 15s
Average length
1m 38s
Measured directly from 16 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
5,658 reactions across 34 posts, in 6 distinct kinds. The most used accounts for 46.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,644
46.7%
🔥
1,956
34.6%
👏
565
9.99%
👍
425
7.51%
🤔
47
0.831%
👎
21
0.371%
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 34 of the 35 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 5,658 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 29 June 2026 to 29 September 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
104
across the posts below
Posts paid on
26
of 34 we hold a reading for · 76%
Most on one post
14
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @breytenbikher. 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 35 most recent posts we hold for this entry, published 29 June 2026 to 29 September 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.
Показать фильм про Грибоедова на кинофестивале для меня несколько новый опыт. И случился он в родном Новосибирске, на XVIII кинофестивале «Встречи в Сибири» имени Эллы Давлетшиной. Спасибо организаторам за приглашение, очень приятно.
Был рад, что пришли клиенты банка. Что задавали вопросы. Их было не мало, и все по делу.
Особенно трогательными для меня оказались отзывы учителей русского языка и литературы. Сказали,…
Есть классическое «друг познается в беде». Мне же кажется, что дружбу и проверять не надо. И считать, кто кому звонил последним, кто за кого платил, кто первым извинился.
Друг – это человек, которому не нужно объяснять, почему ты такой. Но который все-таки иногда объясняет тебе, почему таким оставаться нельзя.
Попробуйте заменить друга другим человеком с теми же достоинствами. Получится, может быть, прекрасный чело…
Наконец-то на выходных (по причине отсутствия сьемок) дошли руки посмотреть, чем закончилась летняя серия «Что? Где? Когда?».
Как раз перед осенней. Пусть и с опозданием... )
Общее впечатление:
команда молодая, и смотреть на нее интересно. Есть чувство свежести, азарта и новизны.
Хотя не без ошибок, но в этом и есть дополнительное ощущение энергии юности.
Отдельно отмечу Антона Милашенко. Видимо, очень скоро точн…
На книжной ярмарке в Гостином дворе с РБК провели паблик-ток. В открытом формате: люди просто шли мимо, кто захотел, тот останавливался, присоединялся к дискуссии.
Интересное ощущение, как у музыканта в переходе, когда выхватываешь из потока лица, заинтересованные и не очень и не знаешь, кто подсядет, кто пройдет мимо, кто прислушается и задаст вопрос.
Говорили про интерес к литературе, про ум и «горе от него», про…
«О спорт, ты – мир!» – сказал в своей «Оде спорту» Кубертен.
В моем случае, скорее, получается: «О спорт, ты – че?» ))
Закончилась спартакиада, в которой мое участие ограничилось поздравлением волейболистов. Я закончил играть в волейбол выступая за сборную... школы )
А тут тот редкий случай и приобщиться к спорту, и почувствовать себя и свои 190 см роста... мелковатым по теперешним даже внутрикорпоративным спортив…
— Есть номер, который мы знаем наизусть, и позвонить от силы две минуты. Но мы не звоним, а идем мыть чашку, потом еще одну, потом ту, которая и так была чистой.
Называем это ленью или неподходящим моментом, хотя чаще всего за этим стоит одно короткое и некрасивое слово – страх.
Человек не решается позвонить, не начинает дело, молчит перед начальником, не может сказать сыну «прости». Вроде бы разные люди и разные п…
Вышел ролик «ВТБ – это классика» по «Королю Лиру». Делюсь видео и фотографиями того, что осталось за кадром. И по традиции самим роликом.
Из всего Шекспира «Лир», по-моему, стареет неохотнее всего. Четыреста с лишним лет, а все так же актуально и свежо.
Как тогда, так и сегодня мы хотим, чтобы нас любили просто за то, какие мы есть. По праву рождения. Даже если оставить в стороне власть, деньги, должность и право р…
Все разговоры про искусственный интеллект рано или поздно упираются в гадание на кофейной гуще – сколько же профессий он отберет. По последним данным исчезнут 92 млн рабочих мест и появится около 170 млн новых.
По факту из этих цифр ничего не следует про конкретного человека, который завтра выйдет на работу. Или того, кто на перепутье и думает, как усилить себя и не выпасть из обоймы.
Поэтому в своей колонке для BR…
На прошлой неделе был на сессии о молодежи. Да, именно так, с общим названием: «Чему власть и бизнес могут научиться у зумеров». Я слушал и по привычке рефлексировал. Следом было мое выступление с «навыками, востребованными экономикой 2030–2050».
Власть и бизнес сегодня в основном представляют люди 50+, которые многое прошли и многое знают... Но поучиться и правда есть чему.
Новое поколение взрослело внутри смартфо…
Еще раз спасибо всем, кто посмотрел Грибоедова и не поленился написать отзывы, комментарии и предложения. В том числе несколько важных критических. Им я, честно говоря, рад больше всего.
Если собрать всё вместе, замечания сложились в три группы:
1) Грибоедов выглядел не так.
2) Дата рождения и возраст указаны неверно.
3) И, конечно, самое изысканное от петербуржцев по географии моих петербургских вставок.
Работу…
«О ценности слов, сказанных от сердца»
«Здоровья, успехов, счастья, всего самого-самого и побольше» – так примерно выглядит усредненное поздравление с днем рождения. Для меня это, скорее, вежливость.
А что есть поздравление? На минуту по-настоящему и с теплом подумать о человеке. Вспомнить то хорошее, чего он сам уже может не замечать. И с душой переложить это на слова. Пусть неидеально, зато свои.
День рождения –…
У Главы Frank RG – Юры Грибанова вышло мое интервью. Пожалуй, одно из самых личных за последнее время.
Не ожидал, что отмотаем так далеко назад. Поговорили и о том, с чего начинал банковскую карьеру. Как совмещать аналитику с творчеством…
Хотя тут все кажется ничего не меняется: творчество без аналитики – это искусство, а аналитика без творчества – просто отчет. И только вместе – это бизнес.
Так что и о бизнесе.
П…
❤53🔥16👏14
Showing the 12 most recent of 35 posts we hold for @breytenbikher. 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.
Posts edited after publishing
@breytenbikher edited 2 posts 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
23 August 2026
Most recent edit
25 August 2026
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 15 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.
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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Брейтенбихер” (@breytenbikher), 21,650 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/breytenbikher.
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.
