Film & TV — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.
Growth
61 measurements spanning 94 days, net -534. 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 30,462–31,287 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
8 Nov 2026, 06:54
30,557
-11
7 Nov 2026, 04:08
30,568
-11
6 Nov 2026, 02:36
30,579
-6
4 Nov 2026, 02:21
30,585
-5
3 Nov 2026, 01:58
30,590
-11
2 Nov 2026, 03:35
30,601
+1
1 Nov 2026, 02:19
30,600
-12
31 Oct 2026, 04:11
30,612
-2
30 Oct 2026, 07:36
30,614
-2
29 Oct 2026, 05:31
30,616
-8
28 Oct 2026, 03:37
30,624
-15
27 Oct 2026, 03:25
30,639
-13
26 Oct 2026, 01:46
30,652
-16
25 Oct 2026, 01:20
30,668
-2
24 Oct 2026, 02:27
30,670
-7
23 Oct 2026, 01:29
30,677
-11
21 Oct 2026, 21:08
30,688
-24
20 Oct 2026, 15:56
30,712
-9
19 Oct 2026, 12:26
30,721
-15
18 Oct 2026, 13:48
30,736
first reading
Engagement
85 posts held, back to 28 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 161 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.0%
avg views ÷ 30,557 subscribers
Avg views / post
4,270
25 posts measured
Reaction rate
3.23%
reactions ÷ views · ER floor
Posts in window
25
of 85 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 7 November 2026
Posts held
85 (28 July 2026 – 7 November 2026)
Views total
106,720
Reactions total
3,443
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 23:05 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
≈4,320
Videos
≈2,760
Links
≈707
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
57m 45s
Average length
1m 19s
Measured directly from 44 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
15,248 reactions across 85 posts, in 49 distinct kinds. The most used accounts for 54.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8,287
54.3%
🔥
1,810
11.9%
👍
1,605
10.5%
❤🔥
783
5.14%
💯
437
2.87%
💩
427
2.80%
😁
311
2.04%
custom 5364201435858744869
288
1.89%
🤡
217
1.42%
🤮
153
1.00%
🤣
133
0.872%
👏
118
0.774%
custom 5373066076558996568
117
0.767%
🥰
90
0.59%
🎉
70
0.459%
👎
53
0.348%
😍
50
0.328%
🍓
45
0.295%
💘
36
0.236%
🙏
35
0.23%
29 further kinds
183
1.20%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 85 of the 85 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 15,248 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 85 most recent posts we hold, published 28 July 2026 to 7 November 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
18
across the posts below
Posts paid on
9
of 85 we hold a reading for · 11%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @letuchayaelena. 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 85 most recent posts we hold for this entry, published 28 July 2026 to 7 November 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.
Advertising
Ad load
3.53%
3 of 85 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
6,210
over 3 measured posts
Median views · rest
4,690
over 82 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqwUhfJ3
1
24 August 2026
24 August 2026
2W5zFFwBBNh
1
14 August 2026
14 August 2026
2W5zFGYmZ2R
1
12 August 2026
12 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 85 most recent posts we hold, published 28 July 2026 to 7 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 6 of 25 posts held from the last 30 days (24.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Первыми ломались те, кто верил, что скоро всё закончится.
За ними идут те, кто не верил, что это когда-нибудь закончится.
Выжили те, кто сосредоточился на своих действиях, без ожиданий того, что может произойти или не случиться🤌
Чудовище внутри меня
Сериал 2025 года, привлекла меня к нему главная героиня «Родины» (абсолютно гениального сериала) - Клэр Дейнс. Это сериал постинновационного американского телевидения. Он больше похож на постановку классики в каком-то статусном консервативном театре: известные актеры, крепкая режиссура.
Дэйнс в очередной раз играет эмоционально нестабильную героиню в непростой ситуации. Словно трагичная версия…
Успехи «Нового Ревизорро»
После выхода каждого эпизода «Нового Ревизорро» я и моя команда делаем все от нас зависящее, чтобы донести до надзорных органов и органов правопорядка факты нарушений в тех или иных заведениях. И к моей огромной радости, в некоторых случаях нам удается получить ощутимые результаты наших трудов. Ими я хотела бы поделиться и с вами.
После первого сезона «Нового Ревизорро» благодаря огромной …
Эффект Хоторна - наблюдение за собственными мыслями меняет реальность на 90 %
В нейропсихиатрической клинике в
Иллинойсе группа учёных провели странный эксперимент: добровольцам дали задачу - пять раз в день отслеживать свои мысли в момент, когда они начинали «уходить в минус».
Через 21 день 90% участников показали изменения не только психоэмоционального состояния, но и биохимических маркеров стресса.
Эффект Хоторн…
Страшный грех, или притча о двух монахах и женщине
Старый и молодой монахи путешествовали. Путь их пересекала река, которая из-за дождей сильно разлилась.
На берегу стояла молодая красивая девушка, которой также нужно было перебраться на противоположный берег. Но она не могла сама перейти реку. Девушка попросила помощи у монахов. Однако монахи давали обет не общаться с женщинами и не прикасаться к ним.
Молодой монах…
Кино на выходные
Если вдруг вы пропустили этот классный сериал🎬 “По правде говоря» вышло уже несколько сезонов.
В центре сюжета — журналистка и ведущая подкаста о тру-крайме Поппи Парнелл (Октавия Спенсер), которая берется за пересмотр старых громких уголовных дел, сомневаясь в вынесенных приговорах. В разные сезоны к ней присоединяются такие актеры, как Аарон Пол и Лиззи Каплан.
По своей подаче сериал слегка нап…
Награждаю самых внимательных ⚡️
Знаю, что многие из вас с интересом следили за выпусками второго сезона «Нового Ревизорро» и хочу отблагодарить самых внимательных нашим фирменным мерчем - бейсболками. Получить их просто: надо ответить на вопросы, связанные с сериями этого сезона. Первые несколько человек, ответившие верно на эти вопросы получат мои подарки и конечно автограф
Итак:
1. Может ли пластический хирург л…
Человек должен быть интеллигентен! А если у него профессия не требует интеллигентности? А если он не смог получить образования: так сложились обстоятельства? А если окружающая среда не позволяет? А если интеллигентность сделает его «белой вороной» среди его сослуживцев, друзей, родных, будет просто мешать его сближению с другими людьми?
Нет, нет и нет! Интеллигентность нужна при всех обстоятельствах. Она нужна и для…
Рыба Ревизорро 🤣
Вы видели это чудо? Это необычное создание всем своим видом будто демонстрирует недовольство и высокомерие. Только взгляните на эти ярко-красные губы с опущенными вниз уголками. Что же это за монстр?
Знакомьтесь, это… безобидная рыбка!
Да-да, вы все прочитали верно. Это существо принадлежит к отряду удильщикообразных и роду нетопырей (лат. Ogcocephalus). А нетопыри – это лучеперые рыбы из семейства…
Кино на выходные
«Тайный дневник Верити» новинка 2026 посмотрела сегодня, и конечно жанровая интонация звучит непривычно — это не мелодрама, а закрученный эротический триллер с завидным запасом сюжетных плот-твистов. Посмотрела с удовольствием!
Картина превратилась в очередную вариацию «Пятидесяти оттенков серого» — экранизации, которая имитирует химию на пустом месте, дистанцируясь от любого рода провокации. Каж…
Поспешные выводы
Одна бабка сказала мужику, что сосед у него не чист на руку, что, мол, и топор украсть может. Пришел мужик домой. И — сразу искать топор.
Нет топора! Весь сарай обыскал — нигде нет топора!
Выходит на улицу. Видит — сосед идет. Но не просто идет: а идет он, как укравший топор, и смотрит, с прищуром, как укравший топор, и улыбается он, как укравший топор. Даже поздоровался сосед, как человек, укравший…
Иногда лучше не нарушать волшебство, лучше дать застыть ✨
❤109👍17💯10🔥4🤡2
Showing the 12 most recent of 85 posts we hold for @letuchayaelena. 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.
Posts edited after publishing
@letuchayaelena edited 1 post 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
14 October 2026
Most recent edit
14 October 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 7 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 6 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Юлия Высоцкая Official @vysotskayaofficial · 61,639 Telegram ranks this channel #33 of 91 here — alongside 90 others — read 21 August 2026
Жанна Бадоева я @zhannabadoeva · 56,007 Telegram ranks this channel #36 of 86 here — alongside 85 others — read 23 August 2026
Виктория Демидова @demivikademivika · 34,129 Telegram ranks this channel #40 of 71 here — alongside 70 others — read 3 September 2026
Гордон Екатерина @Gordonekaterina · 65,773 Telegram ranks this channel #47 of 87 here — alongside 86 others — read 1 September 2026
Элегантность без купюр @revizorroetiquette · 23,952 Telegram ranks this channel #50 of 79 here — alongside 78 others — read 30 September 2026
Разговоры с Ириной Муромцевой @ira_muromtseva · 57,440 Telegram ranks this channel #51 of 84 here — alongside 83 others — read 25 August 2026
Chef Alex Monaco @chefalexmontecarlo · 36,279 Telegram ranks this channel #53 of 73 here — alongside 72 others — read 2 September 2026
Ольга Орлова @olgaorlova · 172,677 Telegram ranks this channel #53 of 78 here — alongside 77 others — read 12 August 2026
Бордовских @vitaminluv · 21,005 Telegram ranks this channel #56 of 90 here — alongside 89 others — read 25 September 2026
Александр Васильев | Официальный канал @alexandre_vassiliev1 · 23,619 Telegram ranks this channel #71 of 80 here — alongside 79 others — read 1 October 2026
Телега ЗОЖника @krylova_evgenia · 22,892 Telegram ranks this channel #71 of 86 here — alongside 85 others — read 18 September 2026
Юлия Барановская @ybaranovskaya_tv · 46,067 Telegram ranks this channel #74 of 92 here — alongside 91 others — read 27 August 2026
Ляйсан Утяшева @utiashevaliasan · 83,257 Telegram ranks this channel #75 of 86 here — alongside 85 others — read 18 August 2026
Анна Семенович @annsemenovich · 26,861 Telegram ranks this channel #76 of 87 here — alongside 86 others — read 12 September 2026
This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Летучая Елена🌎” (@letuchayaelena), 30,557 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/letuchayaelena.
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.