Channel
@chugunkingexpress
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
493subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001121222517 |
|---|---|
| Type | Channel |
| Username | @chugunkingexpress |
| Created | 29 July 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| 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/chugunkingexpress |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 02:59 | 493 | -1 |
| 6 Aug 2026, 18:47 | 494 | no change |
| 6 Aug 2026, 17:01 | 494 | first reading |
10 posts held, back to 30 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 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 | 10 (30 June 2026 – 5 August 2026) |
| Views total | 602 |
| Reactions total | 59 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 18:47 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.
126 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 55.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 70 | 55.6% | |
| 🔥 | 22 | 17.5% | |
| 👍 | 15 | 11.9% | |
| 💔 | 6 | 4.76% | |
| 😁 | 6 | 4.76% | |
| 🦄 | 4 | 3.17% | |
| 🐳 | 3 | 2.38% |
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 9 of the 10 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 126reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 30 June 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.
«Я не работала целый год, пока мне не предложили «Одиссею». И ведь у меня очень хорошие агенты и менеджер, но мне 49 лет… Мне кажется я хорошая актриса, но таких как я немало, а правила игры в индустрии уже другие» Очень обрадовалась, когда увидела Саманту Мортон в роли Цирцеи: считаю ее одной из сильнейших актрис современности, которую нужно снимать чаще и больше. Но, как рассказала сама Мортон в интервью Variety, …
❤11💔6👍2
Раз в сто лет и сломанные часы показывают верное время — и я говорю, что мне понравился фильм Кристофера Нолана «Одиссея». Про вечную войну и сон о войне как сон обо всех войнах уже сказали. Нолан говорит об этом много, громко, важно (и так, увы, нужно). Но меня кино пробрало и в себя влюбило даже не здесь, а на песнях Сирен, которых мы в фильме не слышим. Об этих песнях нам рассказывает Одиссей It told you what you…
❤10🔥4👍3
Любимая рубрика «получаю неприлично много удовольствия» На этот раз — от сериала Ride or Die (буквально «гони или умри») с Ханной Уоддингэм и Октавией Спенсер. Джудит (Ханна) — наемная убийца, что притворяется бухгалтершей, Дебора (Октавия) — домохозяйка, втихушку руководящая мужем, метящим в премьеры. Обе — подружки на века, обсуждают романы в книжных клубах, ходят на крестины-именины. В первой же серии кто-то убит…
❤9🔥3👍2
Пишут, что Нолан дискриминировал целый подвид обувки на площадке «Одиссеи». Сначала этому человеку мешали стулья. Теперь — бедные угги. Де, больно наглядно возвращают они каст и съемочную группу к реальности — а нам же нужны времена Гомера, «Муза, скажи мне о том многоопытном муже, который» и тэ дэ. Серьезного контента в этом канале для вас по-прежнему нет. «Одиссея» еще не отсмотрена (зато почти перечитана), но вс…
😁6🔥2🐳1
Когда красиво, тогда красиво. Zoloto перепели Рондо для новых «Смешариков» 🥹
❤8🔥2🦄1
Стать частью нашей вселенной.
Почти ничего сейчас не смотрю, но много читаю. И даже умеренно модное, и даже (в отличие от ужасного Yesterteyar) временами любопытное. А когда и просто классное. Так что ловите мини-обзор. Colored Television (Danzy Senna) Некогда писательница, ныне профессор, мулатка Джейн живет с мужем-художником и двумя детьми в чужом богатом доме на холмах в ЛА, мечтает о чужой богатой жизни и тщится дописать свой роман-долгостр…
❤8🔥4👍3
С неделю уже думаю про новый «День разоблачения» Стивена Спилберга, про НЛО, правду-ложь и то, куда сегодня приходят режиссеры, на которых выросли и ты, и я, и все твои друзья — да что там, вся история современного кино выросла. Есть очень тонкая грань между детской любознательностью-наивностью и впаданием в детство. Между рефреном и самоповтором. Между классическим изображением гуманоидов и карикатурой. Мистер Спил…
❤7👍2🔥2
Продолжим неделю милых компьютерных животных роликом и бэком из коллаборации бренда Ralph Lauren с Уимблдоном и Томом Хиддлстоном. И медведем, который якобы похож на Ральфа 🤔 Не Паддингтон, конечно, но тоже ничего такой. 🍓 захотелось
❤7🔥5👍3
Бараны Ронни и Реджи (обоих озвучил «Рой Кент» Бретт Голдстин) из The Sheep Detectives и настроение на вторник. Сам фильм прекраснейший, как я и ожидала. Лучшее, что выходило в кино со времен второго «Паддингтона». А это, сами понимаете, серьезная планка 🤓🐑
❤10🦄3🐳2
Showing the 10 most recent of 10 posts we hold for @chugunkingexpress. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
“Чугункингский экспресс” (@chugunkingexpress), 493 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/chugunkingexpress.
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.