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IELTS | Writing Lab

@WritingLabIELTS

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

187subscribers

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004344853256
TypeChannel
Username@WritingLabIELTS
DescriptionCohesion • Argument • Syntax IELTS 8.5 | W 8.0 / S 8.5 Mikhail • @hihishiryo
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 November 2026
Last confirmed live12 November 2026
Measurements held1
On Telegramt.me/WritingLabIELTS

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Nov 2026, 15:22187first reading

Engagement

18 posts held, back to 26 October 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
92.4%
avg views ÷ 187 subscribers
Avg views / post
173
17 posts measured
Reaction rate
11.3%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 12 November 2026
Posts held18 (26 October 2026 – 12 November 2026)
Views total2,936
Reactions total332
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 15:22 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.

What this channel posts

Photos
62
Videos
1
Links
6

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
8m 53s
Average length
8m 53s

Measured directly from 1 video 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

332 reactions across 17 posts, in 25 distinct kinds. The most used accounts for 30.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥10230.7%
❤8726.2%
👏226.63%
💯226.63%
❤‍🔥185.42%
👍92.71%
😁92.71%
🍓61.81%
🏆61.81%
🙏61.81%
🍾51.51%
😍51.51%
🤯51.51%
⚡41.20%
🤓41.20%
😈30.904%
🙊30.904%
🦄30.904%
👀20.602%
🕊20.602%
5 further kinds92.71%

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 17 of the 18 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 332 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 26 October 2026 to 12 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: 3 of 18 posts held from the last 30 days (16.7%) 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).

12 Nov 2026, 13:39 UTC52 views17 reactionsread 12 November 2026
Photo

CC 9 в эссе у Олега!! Это семерка за writing с полностью заваленным WT1! Вау! 👽️️️️️️👽️️️️️️👽️️️️️️👽️️️️️️👽️️️️️️

🔥8⚡4🍓4❤1

12 Nov 2026, 09:41 UTC365 views26 reactionsread 12 November 2026
Video

Метонимия в IELTS Writing: о ложных ошибках и настоящей точности Практически все мои коллеги говорят, что "chicken fell" — это ошибка, и так в IELTS Writing Task 1 писать нельзя. Так ли это? Сегодня утром обсуждали этот вопрос с преподавателями, и я решил покопаться в лингвистике и академических публикациях. Началось всё с примера Pauline Cullen из видео: “Chicken consumption followed this pattern, while beef and …

🔥10❤7👍5❤‍🔥3💯1

9 Nov 2026, 19:35 UTC125 views23 reactionsread 12 November 2026
Photo

Эх, чуть-чтуь не дожали до С1 (цель была 5.5 😁️️️️) Ева умница: писала по 5+ работ к каждой встрече! Поздравляю!

❤13🏆6🙊3💅1

9 Nov 2026, 10:11 UTC144 views28 reactionsread 12 November 2026
Photo

У нас еще один 8.5! ❤ У Тимура был подтвержденный С2 несколко лет назад, но CAE (A), и с тех пор много воды утекло. Готовились быстро, всего пару недель. Старались использовать каждую минуту на занятии. Ждем breakdown, а пока радуемся результату. Nothing's impossible!

👏11❤‍🔥9💯6❤2

8 Nov 2026, 12:23 UTC141 views19 reactionsread 12 November 2026
Photo

Andrea, the road to University College London is wide open! If memory serves me right, the programme she's aiming for is the MASc in Philosophy, Logic and Artificial Intelligence. The results are phenomenal. 8.5 in Speaking? The highest Speaking score any of my students has ever achieved. A milestone for both of us! We worked entirely asynchronously. Andrea's English was already exceptional when we started, sooo..…

🔥13🤓4🦄2

7 Nov 2026, 17:57 UTC150 views17 reactionsread 12 November 2026
Photo

У нас тоже есть своего рода TR 8. Брейкдаун Ани приехал. Мотайте на ус, как можно с шестерками за язык вытаскивать Writing за уши :)

🔥7😍5😈3❤2

5 Nov 2026, 16:13 UTC188 views21 reactionsread 12 November 2026
Photo

Ребят, Ирина Луценко выложила своё 8/9/9/9 эссе. Разберемся, почему TR не 9? Дисклеймер: я очень не люблю, когда разбор превращается в соревнование, где нужно найти чужую ошибку и почувствовать себя умнее. И вам не советую участвовать в таких соревнованиях. Чужие достижения не обесценивают наши, а чужие недочёты не делают нас лучше. Чем сильнее человек, у которого мы учимся, тем интереснее разбирать его работу. По…

🔥9💯8❤3👀1

4 Nov 2026, 18:06 UTC176 views13 reactionsread 12 November 2026

Готовился к IELTS Writing с Михаилом в достаточно сжатые сроки. Понравилось, что преподаватель определил мои слабые стороны, над которыми мы и стали работать: структура письма и говорения, как думать и выстраивать мысли (и за рамками сочинения тоже))). Большой плюс за оригинальный подход к построению плана, результат которого мне значительно помог на самом экзамене. У преподавателя оригинальные материалы, все очень х…

👏8❤3🕊2

4 Nov 2026, 14:54 UTC163 views28 reactionsread 12 November 2026
Photo

Ещё один наш с Наташей ученик сдал экзамен with flying colours! 🥳 На этот раз — General Training (UKVI). Подготовка была экспресс: пара недель интенсивной работы, и коллекция пополнилась ещё одной восьмёркой! 🤩 У нас и правда сложился отличный преподавательский тандем! Андрею — огромные поздравления! ❤️

❤15🔥8🍾5

3 Nov 2026, 08:40 UTC178 views21 reactionsread 12 November 2026
Photo

Давайте знакомиться! Меня зовут Михаил. По первому образованию я филолог. За 15+ лет преподавания я работал с разными целями и форматами обучения, но именно академическое письмо стало моим главным профессиональным интересом. По вопросам критериев оценивания и методики я напрямую консультируюсь с экзаменаторами и развиваюсь в диалоге с опытными коллегами. Уже более 100 студентов прошли подготовку к IELTS под моим р…

❤10❤‍🔥6🔥2🍓1💯1🤯1

30 Oct 2026, 18:14 UTC207 views16 reactionsread 12 November 2026
Photo

Writing Numbers in Task 1 В академическом английском есть рекомендация, о которй многие мои студенты не знали: числа от 1 до 9 пишем словами, а начиная с 10 — цифрами. ☑️ The diagram illustrates five stages of production. ☑️ The chart compares 12 European countries. Но это не всё. Идем в кроличью нору! 1. Значения с графиков обычно записываются цифрами, даже если они меньше 10 ☑️ The figure increased from 3% to …

❤9💯3🔥2😎2

Showing the 12 most recent of 18 posts we hold for @WritingLabIELTS. 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.

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.

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

“IELTS | Writing Lab” (@WritingLabIELTS), 187 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/WritingLabIELTS.

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.