Channel
@frankyisshtaining
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
101subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002652897314 |
|---|---|
| Type | Channel |
| Username | @frankyisshtaining |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/frankyisshtaining |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 05:35 | 101 | -1 |
| 9 Aug 2026, 10:01 | 102 | no change |
| 6 Aug 2026, 16:41 | 102 | first reading |
7 posts held, back to 16 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 22 July 2026 |
|---|---|
| Posts held | 7 (16 June 2026 – 22 July 2026) |
| Views total | 32 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 10:01 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.
83 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 36.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 30 | 36.1% | |
| ❤ | 23 | 27.7% | |
| 👍 | 10 | 12.0% | |
| 💔 | 8 | 9.64% | |
| 🤩 | 7 | 8.43% | |
| 😭 | 5 | 6.02% |
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 7 of the 7 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 83reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 16 June 2026 to 22 July 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.
Шапито-шоу 2011 Этот фильм довольно долго ждал своей очереди. По той же причине, по которой пылятся на моих воображаемых полках всякие драмы: от него зубодробительно грустно. Но не потому, что там показана печальная история, а ровно наоборот. Это сочная и остроумная комедия про времена, которые мы застали весьма осознанно, и которые ныне бездарно проебаны Из 2026 то вместе с удовольствием от увиденного, то вместо, …
💔8😭4❤🔥3
В июле #Культовый_киноклуб смотрел «Груз 200» Алексея Балабанова — фильм, который не нуждается в представлении. Шедевр или чернуха? Правда или ложь? Чем является «Груз 200», спорили с момента его выхода, да и спорят до сих пор. Единственное, что можно сказать точно: нельзя посмотреть «Груз 200» и забыть об этом. На маленьком плоту в край магнолий отправились: ▪️Her Frame ▪️Рабочий файл (1) ▪️Disco Enotium ▪️штош, …
❤🔥6❤4👍4
Если вы весь месяц слышали мерзкое лисье хихиканье, то это я 😌 С этими товарищами теперь хоть куда: не только нахуй не послали, так ещё и рецензии выдали. Дай вам бог здоровья (психического)
❤3
Дайджест мая-июня 2026 Даун Хаус 2001 Пересмотр Мне сложно объяснить, как так вышло, но я всем сердцем люблю этот фильм по духу его, одновременно кривясь на содержимое. Кажется, стоит винить VHSку с балабановскими Жмурками из далекого детства. В меру артхаус, без меры циничен, хтонь тщательно припудрена юмором, а русского духа столько, что впору открыть форточку Оценка: 7/10 ДМБ 2000 Да уж, народнее него только…
❤🔥5
Блюз пекинской оперы // Peking Opera Blues // 刀馬旦 1986 Военные у власти, шпионаж, заговоры, пытки, массовые убийства, унижения, домогательства и насилие. А ещё женская мощь, дружба, сестринство, взаимовыручка, лёгкий флирт и пекинская опера И всё это комедия Охохо, дайте две Если от прощания с наложницей вам стало совсем уж грустненько, то Блюз скрасит послевкусие, не меняя темы, таймлайна и декораций Здесь торже…
❤🔥5❤4🤩4
Дайджест апреля 2026 *мем кот часы пора* Вскрытие демона // The Mortuary Assistant 2026 Ну бля, ну ребят, меня б за такую халтуру в универе на парах опозорили, а вы это в кино запускаете. Игра со всеми шестью концовками займёт времени меньше, чем эта духота. То вы цитируете первоисточник покадрово (и тогда все ок), то вспоминаете, что идти строго по тексту - моветон, и отрыгиваете отсебятину. Полчаса из полутора мо…
❤7❤🔥7👍4🤩2😭1
Сегодня в нашем #Культовый_киноклуб фильм Кэтрин Бигелоу «Почти стемнело» («Near Dark», 1987) 🦇 «Near Dark» переосмыслил вампирский жанр, соединив жанры роуд-муви, хоррора и вестерна. Фильм отказался от привычных клише и показал вампиров как маргинальную, жестокую «семью», живущую вне общества. Провалившись в прокате, он со временем был переоткрыт зрителями и критиками благодаря видеопрокату. На закате до кинотеатр…
❤5❤🔥4👍2🤩1
Showing the 7 most recent of 7 posts we hold for @frankyisshtaining. 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 — 1,055,754 of 1,481,502entries 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.
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.
Named by 3 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.
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.
“Рабочий файл (1)” (@frankyisshtaining), 101 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/frankyisshtaining.
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.