Channel
@shtyrbu_name
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
832subscribers
+4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001103710980 |
|---|---|
| Type | Channel |
| Username | @shtyrbu_name |
| Created | Between 1 February 2017 and 31 March 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/shtyrbu_name |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 01:04 | 832 | +4 |
| 6 Aug 2026, 18:10 | 828 | no change |
| 6 Aug 2026, 17:18 | 828 | first reading |
12 posts held, back to 17 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 12 (17 July 2026 – 5 August 2026) |
| Views total | 3,768 |
| Reactions total | 249 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 17:18 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.
283 reactions across 12 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 283 | 100.0% |
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 12 of the 12 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 283reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 17 July 2026 to 5 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.
ОДИССЕЯ: НОВЫЙ СТАРЫЙ СПОР (3/3) Если задуматься, русскоязычный читатель знаком лишь с ремейком "Одиссеи". Уже в этом первом своем гомеровском дебюте, как потом в предисловии к Одиссее, Жуковский прямо заявляет, что он не знает по-гречески. <...> Около 1810 года Жуковский пробовал самостоятельно приняться за греческий язык. Сохранилась его самодельная тетрадь из синеватой бумаги, страницы которой тщательно разграф…
❤25
ОДИССЕЯ: НОВЫЙ СТАРЫЙ СПОР (2/3) Французы в те времена задавали моду, поэтому их взгляды разделяли и в других европейских странах. Переделке подвергались не только древние, но и вполне современные тексты. Как известно, впервые в России его назвал поэт и драматург А. П. Сумароков (1717—1777) в 1748 г. в «Епистоле о стихотворстве», где в числе великих поэтов прошлого, населяющих Геликон, упомянуты «Мильтон и Шекесп…
❤17
ОДИССЕЯ: НОВЫЙ СТАРЫЙ СПОР (1/3) Нолановскую Одиссею я не смотрел, но одобряю. Чисто потому, что фильм стряхнул пыль с полемики о том, нужно ли адаптировать тексты при переводе. Того же Гомера часто пытались "улучшить". Особенно этим отличились французы, у которых грек вызывал, мхм, гомерический хохот. В Гомере французам той эпохи не нравились его «грубости», «низости» («les bassesses») или «подлости» («подлый» …
❤19
BLOODY Продолжая тему ругательств. Сегодня это может показаться странным, но в своё время bloody было весьма крепким словом. Считалось, что это богохульство: то ли отсылка к God’s blood, то ли искажённое by our lady — в общем, что-то явно немыслимое в приличном обществе. Поэтому при королеве Виктории его печатали как “b—y”. Это табу было нарушено лишь в 1912 году, когда Бернард Шоу опубликовал “Пигмалион” — пьесу…
❤30
Более подробные данные из исследования. Тут всё довольно предсказуемо. Самые популярные слова — fuck, cunt и shit. Молодёжь спокойнее относится к ругани, чем старшие поколения. Мужчины — спокойнее, чем женщины, но разница не столь уж радикальна.
❤25
Рейтинг крепости ругательных слов. Актуален для британского английского. Составитель — YouGov.
❤23
У trainers по идее есть отдельная подкатегория для кед. Но у этой подкатегории нет устоявшегося названия. Даже самым популярным словом — plimsolls — пользуется лишь каждый второй. Согласно последним данным (опрос YouGov от 2025 года, в котором приняло участие 38к человек), британцы называют кеды следующими словами: plimsolls 53% pumps 23% gym shoes 6% daps 5% sandshoes / sannies 5% (Оставшиеся проценты приходятс…
❤17
Какую обувь носил Гарри Поттер? Если верить издательству “Росмэн”, это были кроссовки. … проворчал Гарри, стаскивая с себя кроссовки и выжимая их. Однако в переводе от “Махаона” главный герой обут в кеды. … пробурчал Гарри, снимая кеды и выливая из них воду. А что написано в английском тексте? Там, как ни странно, тоже есть расхождения. В британском издании фигурирует trainers. … said Harry, taking off his tr…
❤19
ZIP ZILCH NADA Ещё в английском есть немного сленговые, но приемлемые в большинстве ситуаций zip, zilch и nada. Их используют — как по отдельности, так и в разнообразных сочетаниях — чтобы придать экспрессии: ничегошеньки, абсолютный ноль, дырка от бублика. Of course there were a few minor problems—the fact that I knew absolutely zilch about the Pennsylvania State Police, for one thing… (Кинг) Конечно, были кое-к…
❤23
НОЛЬ Когда “ноль” встречается как отдельное слово, его называют zero. пять градусов ниже нуля — five degrees below zero нулевая терпимость — zero tolerance В окружении других цифр он обычно превращается в oh. 1906 — nineteen-oh-six агент 007 — Agent Double-Oh-Seven В Британии также широко используется nought. К примеру, при выборе спортивного автомобиля британец обратит внимание на его nought-to-sixty time — в…
❤33
Рабочий вариант перевода для выражений в духе "если бы у бабушки был...": if my grandmother had wheels she would be a bike https://youtube.com/shorts/61ZqBW30LLA?si=Lxvgk5zcimv69BtB
❤18
ДО- Подборка примеров на перевод глаголов с приставкой "до-". Посмотри, до чего ты докатился [или: дошёл, дожил]! Look at where you are now! Если ты будешь и дальше так водить машину, ты доездишься! If you go on driving like that, you are looking for trouble [или: you'll get yourself into a fine mess]! И Кузьку к себе прижимает, словно боится, чтоб я не отнял. Вот, говорю, до чего ты дожила! (А. П. Чехов) And …
❤34
Showing the 12 most recent of 12 posts we hold for @shtyrbu_name. 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 — 340,521 of 1,481,217entries 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.
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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“shtyrbu_name” (@shtyrbu_name), 832 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/shtyrbu_name.
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.