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Channel

THE WATCHLIST | уроки по фильмам и сериалам

@watchlistlab

On this record: Topic · Previous handles · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

3,864subscribers

+556 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002514595823
TypeChannel
Username@watchlistlab
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held19
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/watchlistlab

Topic

Education — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Previous handles

@watchlistlab was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@lucysenglishstore
held 7 August 2026 – 7 August 2026

Growth

3,2983,8773,587.57 August 2026 — 3,308 subscribers7 August 2026 — 3,308 subscribers8 August 2026 — 3,306 subscribers11 August 2026 — 3,304 subscribers14 August 2026 — 3,298 subscribers17 August 2026 — 3,299 subscribers20 August 2026 — 3,368 subscribers24 August 2026 — 3,512 subscribers27 August 2026 — 3,513 subscribers29 August 2026 — 3,517 subscribers1 September 2026 — 3,512 subscribers5 September 2026 — 3,494 subscribers10 September 2026 — 3,475 subscribers14 September 2026 — 3,471 subscribers19 September 2026 — 3,460 subscribers29 September 2026 — 3,444 subscribers3 November 2026 — 3,877 subscribers3 November 2026 — 3,876 subscribers10 November 2026 — 3,864 subscribers3,8647 August 202610 November 2026
19 measurements spanning 95 days, net +556. 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 3,211–3,964 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Nov 2026, 08:463,864-12
3 Nov 2026, 18:253,876-1
3 Nov 2026, 17:223,877+433
29 Sept 2026, 19:593,444-16
19 Sept 2026, 10:213,460-11
14 Sept 2026, 16:193,471-4
10 Sept 2026, 18:393,475-19
5 Sept 2026, 17:223,494-18
1 Sept 2026, 13:533,512-5
29 Aug 2026, 19:483,517+4
27 Aug 2026, 04:053,513+1
24 Aug 2026, 14:473,512+144
20 Aug 2026, 17:133,368+69
17 Aug 2026, 21:433,299+1
14 Aug 2026, 13:483,298-6
11 Aug 2026, 01:333,304-2
8 Aug 2026, 09:553,306-2
7 Aug 2026, 13:303,308no change
7 Aug 2026, 12:473,308first reading

Engagement

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

ERR · 30 days
8.44%
avg views ÷ 3,864 subscribers
Avg views / post
326
5 posts measured
Reaction rate
7.30%
reactions ÷ views · ER floor
Posts in window
5
of 20 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 3 November 2026
Posts held20 (3 May 2026 – 3 November 2026)
Views total1,630
Reactions total119
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 17:22 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.

Reaction mix

650 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 33.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤21733.4%
😍18828.9%
🥰9214.2%
custom 54088393788584487186710.3%
custom 5375464961822695044345.23%
🍓243.69%
🕊111.69%
custom 519520186439988581091.38%
🏆81.23%

Custom emoji. 3 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 20 of the 20 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 650 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 3 May 2026 to 3 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 5 posts held from the last 30 days (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).

3 Nov 2026, 07:21 UTC140 views27 reactionsread 3 November 2026
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💧 D I G E S T | films that make you think // less small talk, more meaningful discussions 🎬 6 film-based lessons, на которых действительно есть о чём поговорить В этой подборке — шесть киноуроков о психологии, отношениях, социальных ожиданиях и непростых решениях. Обсудить поступки героев, поспорить, аргументировать свою позицию и посмотреть на привычные вещи под другим углом. // what's on the watchlist? 📌 the t…

❤13😍7custom 53754649618226950447

2 Nov 2026, 09:50 UTC215 views29 reactionsread 3 November 2026
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WHOSE LIFE WOULD YOU CHOOSE? | speaking cards { а если бы можно было на время оказаться внутри любимого фильма или сериала и прожить жизнь одного из персонажей? } собрала 6 совершенно разных образов жизни популярных киногероев: от уютных вечеров в маленьком городке до парижских приключений, королевских приёмов и учёбы в Хогвартсе. в комментариях оставляю вопросы для задания — идеально как speaking warm-up на 10–15…

❤16custom 53754649618226950447😍6

31 Oct 2026, 08:15 UTC368 views10 reactionsread 3 November 2026
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🤠 Shrek: Don't Judge an Ogre by His Cover «Шрек» — мультик, который пересматривают уже 25 лет. Смешные шутки, харизматичные герои и тёплая история о том, что внешность обманчива. Обсудим фильм и главный вопрос кинокартины: почему мы так часто судим людей по первому впечатлению? A2+–B1, teens + adults miro + pdf + holst внутри ⤵️ 👺 warm-up — first impression: friendly, funny or dangerous? 🐸 lead-in — цитата «That…

❤4😍4custom 53754649618226950442

30 Oct 2026, 11:46 UTC360 views40 reactionsread 3 November 2026
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💃 YOUR COMFORT CHARACTER | speaking cards у каждого есть тот самый персонаж, в котором мы немного узнаём себя. кто-то всё контролирует, кто-то прячется за шутками, а кто-то постоянно сравнивает себя с другими. собрала 6 любимых героев кино и сериалов, чтобы поговорить с учениками о характере, привычках, отношениях и немного о психологии! A2–B1 | teens + adults // как использовать на уроке? 🧐 guess the personality…

😍15custom 537546496182269504414❤11

27 Oct 2026, 06:05 UTC547 views13 reactionsread 3 November 2026
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☺️☺️ АКЦИЯ 2 = 3:☺️ ☺️☺️ Halloween Lessons! Все уроки к Хэллоуину есть в 3 форматах: ☺️ PDF ☺️ Langlisto ☺️ ProgressMe ☺️ For children/kids: ☺️ Halloween with Super Simple Songs, A0-A1 ☺️ Halloween Minecraft Quest, A1-A2 ☺️ KikoRiki: Halloween edition "All alone", A2 ☺️ Halloween with Kid-E-Cats, A2 ☺️ For teens and adults: ☺️ Halloween: Traditions and Symbols, A1-A2 ☺️ Halloween Quest based on a Mysterious Sto…

😍5❤4custom 53754649618226950444

7 Aug 2026, 07:05 UTC172 views37 reactionsread 7 August 2026
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🌟🌟 Майкл Джексон раскрывает насилие своего отца и краже его детство | урок для B1 По всему интернету завирусился фрагмент интервью Майкла Джексона, где он откровенно рассказывает о сложном детстве, огромном давлении 💔 и болезненных воспоминаниях, которые повлияли на его жизнь Именно эту сторону его истории я предлагаю обсудить с учениками! 🌟 Что внутри B1 урока based on YouTube video: 👤Warm-up Discussion - разгов…

❤23😍8🥰6

6 Aug 2026, 07:03 UTC212 views8 reactionsread 7 August 2026
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📷🤍лето - идеальное время для того, чтобы начать изучать что-то новое! Лично у меня количество контактных часов в июне сократилось процентов на 50.. (у кого тоже так?) Кстати, это абсолютно нормальная ситуация для июня. Теперь я наконец-то могу заняться блогом и уделить больше времени своему английскому. 🎧Причем сейчас хочется обсуждать не банальные темы, а чего-то максимально легкого, но при этом thought-provoking!…

🍓3😍3❤2

5 Aug 2026, 09:25 UTC228 views15 reactionsread 7 August 2026
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🌟🐋 end of summer: 14 free lessons can't believe it's august already — уже совсем скоро будем готовить уроки про адаптацию к осени. а пока, собрали для вас коллекцию, которая будет радовать вас в августе: • Unfinished Summer Bucket List, B1-B2, miro • The Ultimate Summer Jams, B1, miro • Did You Have a Hot Girl Summer?, B2, article-based, miro • How to Trick Yourself Into Autumn, B2, article-based, miro • When Did R…

🥰7❤5😍3

23 Jul 2026, 11:33 UTC578 views35 reactionsread 7 August 2026
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🌝 ⭐️Character Discovery В этом уроке ученики будут изучать персонажей, раскрывать их профессии, внешний вид и характер, а ещё создавать свои истории на английском! ⭐️ What’s inside the lesson: ⭐️ Who is it? - сопоставление персонажей с описаниями и развитие навыка находить детали; ⭐️ Jobs & Appearance Vocabulary - лексика по теме профессий, одежды и внешности; ⭐️ Speaking Discussion - вопросы для практики описания…

❤16🥰11😍8

17 Jul 2026, 16:05 UTC567 views12 reactionsread 7 August 2026
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🌕Bestsellers для тичеров| самые популярные уроки - PRO сет Фильмы, сериалы, селебы и трендовые истории - это язык поколения Alpha и Zoomers!⭐️ Если хотите, чтобы ученики говорили больше, интересовались темой и с удовольствием выполняли задания - этот сет создан для вас! ⭐️ 🌟Внутри - ваши фавориты: 01. Stranger Things, внутри: reading, speaking, writing, listening! платформа: Miro, PDF, уровень: A2+ - B1 02. Frie…

❤8🥰2😍2

13 Jul 2026, 07:53 UTC606 views34 reactionsread 7 August 2026
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🇵🇹⚽️Cristiano Ronaldo – The Legend of Football История одного из величайших футболистов мира -урок о мечте, дисциплине, упорстве и пути к мировому успеху!🏆 Что внутри урока: ⭐️Warm-up discussion -что ученики знают о Роналду и какими качествами должен обладать успешный спортсмен ⭐️ Key Vocabulary block - achievement, determination, legacy, captain, record, trophy, challenge и другие слова уровня B1–B2 ⭐️ Vocabulary…

😍15❤11🏆8

6 Jul 2026, 08:42 UTC720 views41 reactionsread 7 August 2026
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Happiful Hacks: Tips for Travelling Solo🦔 Как поехать в путешествие в одиночку и не сойти с ума? Такое возможно?🦔 На основе мотивационной статьи от Happiful мы читаем, обсуждаем и учимся преодолевать тревожность на английском. Отличный способ практиковать язык на аутентичном материале! 🌟Что входит в урок: ⚫️Reading: оригинальная статья ⚫️Multiple Choice - читаем и выбираем правильные ответы ⚫️True or False - пров…

😍19❤13🥰9

Showing the 12 most recent of 20 posts we hold for @watchlistlab. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Mentions

Named by 2 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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“THE WATCHLIST | уроки по фильмам и сериалам” (@watchlistlab), 3,864 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/watchlistlab.

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.