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Channel

Lazy Editor

@LazyEditor

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

9,199subscribers

+1,351 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001381160214
TypeChannel
Username@LazyEditor
DescriptionПро кино и сериалы 🍿 на связи @lazynastyaa Ex редактор Interview, GQ — 18+ (сейчас живу на Кипре)
Created30 June 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/LazyEditor

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

7,8279,7418,7846 August 2026 — 7,848 subscribers6 August 2026 — 7,848 subscribers7 August 2026 — 7,851 subscribers10 August 2026 — 7,845 subscribers13 August 2026 — 7,838 subscribers16 August 2026 — 7,847 subscribers19 August 2026 — 7,850 subscribers23 August 2026 — 7,853 subscribers26 August 2026 — 7,845 subscribers29 August 2026 — 7,847 subscribers1 September 2026 — 7,837 subscribers4 September 2026 — 7,835 subscribers10 September 2026 — 7,827 subscribers14 September 2026 — 7,829 subscribers18 September 2026 — 7,865 subscribers28 September 2026 — 7,870 subscribers5 October 2026 — 7,862 subscribers12 October 2026 — 7,877 subscribers15 October 2026 — 7,868 subscribers17 October 2026 — 7,864 subscribers21 October 2026 — 7,861 subscribers24 October 2026 — 7,856 subscribers27 October 2026 — 7,853 subscribers31 October 2026 — 8,482 subscribers3 November 2026 — 9,741 subscribers5 November 2026 — 9,552 subscribers8 November 2026 — 9,199 subscribers9,1996 August 20268 November 2026
27 measurements spanning 95 days, net +1,351. 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 7,540–10,028 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
8 Nov 2026, 23:049,199-353
5 Nov 2026, 18:469,552-189
3 Nov 2026, 02:149,741+1,259
31 Oct 2026, 03:018,482+629
27 Oct 2026, 22:197,853-3
24 Oct 2026, 12:007,856-5
21 Oct 2026, 03:177,861-3
17 Oct 2026, 21:497,864-4
15 Oct 2026, 05:187,868-9
12 Oct 2026, 06:567,877+15
5 Oct 2026, 17:577,862-8
28 Sept 2026, 01:007,870+5
18 Sept 2026, 16:207,865+36
14 Sept 2026, 11:197,829+2
10 Sept 2026, 11:587,827-8
4 Sept 2026, 21:157,835-2
1 Sept 2026, 07:187,837-10
29 Aug 2026, 03:547,847+2
26 Aug 2026, 02:257,845-8
23 Aug 2026, 05:197,853first reading

Engagement

72 posts held, back to 3 August 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 35 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.0%
avg views ÷ 9,199 subscribers
Avg views / post
1,380
30 posts measured
Reaction rate
4.25%
reactions ÷ views · ER floor
Posts in window
30
of 72 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
WindowRolling 30 days · latest post in window 10 November 2026
Posts held72 (3 August 2026 – 10 November 2026)
Views total41,406
Reactions total1,760
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 22:56 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
≈6,220
Videos
≈781
Links
≈2,630

Lifetime counters from Telegram’s own channel header, read 10 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
12m 43s
Average length
1m 25s

Measured directly from 9 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

4,136 reactions across 67 posts, in 35 distinct kinds. The most used accounts for 42.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,76042.6%
🔥44010.6%
❤‍🔥4129.96%
😁2686.48%
💘1794.33%
💅1623.92%
💯1132.73%
🕊972.35%
👍852.06%
💔821.98%
😎651.57%
😈551.33%
🙏541.31%
💋390.943%
🤯380.919%
⚡360.87%
🤗320.774%
🤣280.677%
✍220.532%
🍓220.532%
15 further kinds1473.55%

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 72 of the 72 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 4,411 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 72 most recent posts we hold, published 3 August 2026 to 10 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
3
across the posts below
Posts paid on
3
of 72 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @LazyEditor. 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 72 most recent posts we hold for this entry, published 3 August 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 30 posts held from the last 30 days (6.67%) 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).

10 Nov 2026, 20:59 UTC348 views20 reactionsread 10 November 2026

Периодически подсвечиваю здесь подкасты из вселенной The Ringer, про сериалы (The Watch) — тоже классный. У ребят был отличный выпуск про творчество Энтони Бурдена; шоураннеры «Индустрии» приходили в гости аж четыре раза, а недавно к ним заглянула моя любимая Шерон Хорган. Ее драмеди Youth о правде жизни в 50 недавно продлили на второй сезон, чему я несказанно рада. В выпуске она, к примеру, рассказывает, что ей не п…

❤8❤‍🔥5🔥5✍2

10 Nov 2026, 14:39 UTC689 views34 reactionsread 10 November 2026
Forwarded from @thecinemacosmopolitan

🔥🔥DO YOU EVER FEEL LIKE SOMETHING'S GONNA HAPPEN??🔥🔥 Новый трейлер "Чернил" (Ink) от несравненного Дэнни Бойла с Джеком О'Коннеллом, Гаем Пирсом и Клэр Фой!

❤19🔥8⚡6💘1

10 Nov 2026, 14:17 UTC≈1,250 views67 reactionsread 10 November 2026

Как же хочется уже посмотреть ❤️

❤32💯20💅12🙏3

10 Nov 2026, 14:02 UTC750 views62 reactionsread 10 November 2026
Forwarded from @worrydarlingPhoto

Пенелопа Крус, Кэрри Кун, Флоренс Пью, Джулианна Мур и Инди Наваретти для ELLE Women in Hollywood ❤️

❤32❤‍🔥14💘11🔥5

10 Nov 2026, 12:22 UTC949 views65 reactionsread 10 November 2026
Photo

Спешу доложить, что новое руководство объединенной Skydance занято не только кадровыми перестановками и увольнениями, но и куда более насущными вопросами. Например, высотой конференц-стола в офисе Warner Bros. Стол и прилагающиеся к нему стулья настолько высокие, что руководители киностудии годами мучились на совещаниях. Боже, какое преступление, что у нас нет фото этой мебели…

😁43❤11🎉7🤪3💯1

10 Nov 2026, 00:35 UTC≈1,160 views96 reactionsread 10 November 2026
Photo

У меня с Макдоной снова сложилось. Если Джон Уилсон продолжает извлекать философию из обыденных вещей (вообще не напрягает), то почему должен надоесть бадди-муви от драматурга, который умеет связать демократию и сыр? Это к популярному и неблизкому мне разговору о самоповторах. Да, в Wild Horse Nine снова киллеры, только теперь куда более беспринципные — на госслужбе и с запасом кровожадных анекдотов. Да, снова есть …

❤58❤‍🔥17👍17👏3🕊1

9 Nov 2026, 22:52 UTC≈1,090 views76 reactionsread 10 November 2026
Photo

Я тут на время затихла, но причина приятная — смотрела хорошее кино. На всякий случай напоминаю, что контент уровня репост/«вышел трейлер» не означает, что я прогуливаю премьеры. Наоборот! Была, к слову, достаточно продуктивной в спуки октябре. Все мои отметки здесь: https://letterboxd.com/lazyeditor/ Последние премьеры придавили максимально. Звягинцев препарировал адюльтер, сосредоточившись не на ревности, а на исто…

❤46🔥16❤‍🔥10👍2💔1😢1

9 Nov 2026, 21:52 UTC≈1,090 views58 reactionsread 10 November 2026
Photo

На Кипре с конца октября идут показы «Минотавра» Звягинцева, будут еще в среду и субботу. Я добралась на выходных. Надо, пожалуй, для порядка напомнить, что сюжетный каркас «Минотавра» взят из «Неверной жены» Клода Шаброля. Позже эту историю переснял Эдриан Лайн в «Неверной». В обоих случаях обманутый муж решает мучающий его вопрос радикально — сначала в буржуазной Франции, затем в благополучном американском пригоро…

🕊33❤17🙏4👀3❤‍🔥1

9 Nov 2026, 14:53 UTC≈1,020 views62 reactionsread 10 November 2026
Forwarded from @netflixandchilllPhoto

Опять он!! Роберт Паттинсон, Дейзи Эдгар-Джонс и Дэнзел Вашингтон на первых кадрах триллера «The Take». В центре сюжета — банковский охранник, кассир и опытный вор, которые оказываются втянутыми в смертельную игру обмана. Режиссёр — Фернанду Мейреллиш («Город Бога», «Два Папы»). Премьера состоится на Netflix 15 января.

❤37💅13💘10😁2

8 Nov 2026, 12:06 UTC≈1,330 views46 reactionsread 10 November 2026

Это было бы легендарно 🥰

🍓22💯11💅8❤4😁1

7 Nov 2026, 11:04 UTC≈1,230 views87 reactionsread 10 November 2026
Forwarded from @bottomflopVideo

BREAKING: В сеть утекли официальные пробы Роберта Паттинсона на роль Джеймса Бонда.

❤39❤‍🔥19😭15💅6😁5👏2🕊1

6 Nov 2026, 13:06 UTC≈1,420 views37 reactionsread 10 November 2026
Forwarded from @bringchangefilm

Новый трейлер «The Further Mis-Adventures of Cliff Booth» Финчера

❤19❤‍🔥9🔥8🕊1

Showing the 12 most recent of 72 posts we hold for @LazyEditor. 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.

Forward network

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 10 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.

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.

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.

PosterPorn
@poster_pron · 18,929
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 4 October 2026
Первый ряд
@couchexperts · 20,277
Telegram ranks this channel #1 of 98 here — alongside 97 others — read 26 September 2026
КИНО CLUB
@filmoclub · 22,931
Telegram ranks this channel #3 of 93 here — alongside 92 others — read 20 September 2026
Макс и сериалы
@MaxAndSe · 22,829
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 19 September 2026
ШишКИНО
@shishkino · 41,927
Telegram ranks this channel #3 of 97 here — alongside 96 others — read 29 August 2026
Рты Ванессы Паради
@cine_fan · 21,676
Telegram ranks this channel #4 of 98 here — alongside 97 others — read 22 September 2026
Cinema Critique
@cinemacritique · 18,912
Telegram ranks this channel #5 of 96 here — alongside 95 others — read 2 October 2026
ORNAMENT: журнал о кино
@ornamentmag · 19,847
Telegram ranks this channel #6 of 95 here — alongside 94 others — read 1 October 2026
Ремизорро
@remizorro · 29,914
Telegram ranks this channel #6 of 96 here — alongside 95 others — read 7 September 2026
Кроненберг нефильтрованный
@Cronenberg1664 · 38,552
Telegram ranks this channel #6 of 95 here — alongside 94 others — read 29 August 2026
Фёдор, Бонд и Чук
@FBChu · 46,256
Telegram ranks this channel #6 of 97 here — alongside 96 others — read 28 August 2026
Некинокритик 🎬
@ne_kinokritik · 48,042
Telegram ranks this channel #6 of 88 here — alongside 87 others — read 25 August 2026
КИНОТВ
@kinotv · 61,762
Telegram ranks this channel #7 of 96 here — alongside 95 others — read 21 August 2026
Иноекино
@inoekino · 21,541
Telegram ranks this channel #8 of 95 here — alongside 94 others — read 24 September 2026
Дима SuperVHS: мемы и кино
@supervhs · 27,832
Telegram ranks this channel #8 of 97 here — alongside 96 others — read 10 September 2026
Cabernet Cinemá
@cabernetcinema · 18,991
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 4 October 2026
before your night 18+
@beforethenight · 21,099
Telegram ranks this channel #9 of 88 here — alongside 87 others — read 25 September 2026
Кинопоиск | Новости
@kinopoisk_soon · 105,191
Telegram ranks this channel #9 of 98 here — alongside 97 others — read 15 August 2026
Кино-Театр.Ру🎭
@kino_teatrru · 26,358
Telegram ranks this channel #10 of 98 here — alongside 97 others — read 14 September 2026
КИНО редакция
@kino_redakciya · 51,444
Telegram ranks this channel #10 of 91 here — alongside 90 others — read 24 August 2026
(not)Obsessed with cinema
@obsessed_with_cinema · 19,346
Telegram ranks this channel #11 of 91 here — alongside 90 others — read 4 October 2026
Cinemaholics
@cinemaholicsofficial · 30,890
Telegram ranks this channel #13 of 93 here — alongside 92 others — read 6 September 2026
Cinemagraphie
@cinemagraphie · 21,332
Telegram ranks this channel #15 of 93 here — alongside 92 others — read 23 September 2026
Amediateka
@amediatekatv · 28,550
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 8 September 2026

This channel appears in 41 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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.

“Lazy Editor” (@LazyEditor), 9,199 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/LazyEditor.

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.