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Channel

ПЛЮШКИ для УЧИТЕЛЯ английского языка

@plyushkiforelt

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

13,153subscribers

+192 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001414547357
TypeChannel
Username@plyushkiforelt
CreatedBetween 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/plyushkiforelt

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 why it has no browse page of its own yet.

Growth

12,91213,15313,032.57 August 2026 — 12,961 subscribers8 August 2026 — 12,960 subscribers9 August 2026 — 12,959 subscribers10 August 2026 — 12,960 subscribers11 August 2026 — 12,962 subscribers12 August 2026 — 12,957 subscribers13 August 2026 — 12,953 subscribers14 August 2026 — 12,950 subscribers16 August 2026 — 12,942 subscribers17 August 2026 — 12,933 subscribers18 August 2026 — 12,927 subscribers19 August 2026 — 12,928 subscribers20 August 2026 — 12,923 subscribers21 August 2026 — 12,925 subscribers22 August 2026 — 12,922 subscribers24 August 2026 — 12,925 subscribers25 August 2026 — 12,913 subscribers26 August 2026 — 12,912 subscribers27 August 2026 — 12,922 subscribers28 August 2026 — 12,921 subscribers29 August 2026 — 12,926 subscribers31 August 2026 — 12,934 subscribers1 September 2026 — 12,938 subscribers2 September 2026 — 12,945 subscribers3 September 2026 — 12,940 subscribers5 September 2026 — 12,955 subscribers8 September 2026 — 12,948 subscribers11 September 2026 — 12,940 subscribers13 September 2026 — 12,939 subscribers15 September 2026 — 13,019 subscribers16 September 2026 — 13,099 subscribers19 September 2026 — 13,153 subscribers7 August 202619 September 2026
32 measurements spanning 43 days, net +192. 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 12,876–13,189 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
19 Sept 2026, 14:0013,153+54
16 Sept 2026, 23:5813,099+80
15 Sept 2026, 04:5813,019+80
13 Sept 2026, 11:4012,939-1
11 Sept 2026, 13:2112,940-8
8 Sept 2026, 21:2112,948-7
5 Sept 2026, 13:3912,955+15
3 Sept 2026, 12:1712,940-5
2 Sept 2026, 07:1312,945+7
1 Sept 2026, 09:3512,938+4
31 Aug 2026, 11:1712,934+8
29 Aug 2026, 11:3612,926+5
28 Aug 2026, 13:5712,921-1
27 Aug 2026, 12:2512,922+10
26 Aug 2026, 09:5312,912-1
25 Aug 2026, 09:5712,913-12
24 Aug 2026, 13:2412,925+3
22 Aug 2026, 21:1712,922-3
21 Aug 2026, 11:3412,925+2
20 Aug 2026, 12:5312,923first reading

Engagement

47 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.6%
avg views ÷ 13,153 subscribers
Avg views / post
2,310
11 posts measured
Reaction rate
0.633%
reactions ÷ views · ER floor
Posts in window
11
of 47 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 2 September 2026
Posts held47 (28 July 2026 – 2 September 2026)
Views total25,440
Reactions total161
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 22:04 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

Video runtime
4m 52s
Average length
24s

Measured directly from 12 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

519 reactions across 46 posts, in 6 distinct kinds. The most used accounts for 31.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤16531.8%
🔥11121.4%
🥰9919.1%
👍9818.9%
👏346.55%
🤩122.31%

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 46 of the 47 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 519 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 47 most recent posts we hold, published 28 July 2026 to 2 September 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

2 Sept 2026, 13:58 UTC≈1,280 views4 reactionsread 2 September 2026
Photo

НОВЫЕ ПОСОБИЯ TSC - RUSSIA IN BRIEF 🇷🇺 Представляем вашему вниманию новые пособия Russia in brief от TSC. В каждом пособии: 1. 10 тестов по тематике "Россия"🇷🇺 2. SUPPLEMENTARY MATERIALS (всё, что нужно знать по теме «Россия» для ЕГЭ и ОГЭ) Здесь собраны, которые могут встретиться на ОГЭ и ЕГЭ 2027: 📜 История России 🎨 Искусство России 🔬 Наука России 🗺 Путешествия по России 🥟 Кухня России 🎭 Традиции и обычаи Рос…

❤2👍1🔥1

2 Sept 2026, 03:00 UTC≈2,200 views4 reactionsread 2 September 2026

⚡️ Напоминаю про раннюю цену на FAIRY READING. STEP 1 https://t.me/plyushkiforelt/5034! Если вы уже присматриваетесь к комплекту Fairy Reading. Step 1, но откладываете покупку «на потом» — сейчас как раз тот момент, когда откладывать невыгодно! 📚 Только сегодня Fairy Reading. Step 1 можно забрать по ранней цене. Завтра стоимость комплекта повысится - ведь внутри это не просто рабочая тетрадь, а полноценная система …

🔥2❤1👍1

1 Sept 2026, 08:13 UTC≈2,430 views5 reactionsread 2 September 2026
Photo

🎁 СОХРАНЯЙТЕ ДИАГНОСТИКУ: 5 способов проверить, действительно ли ребёнок читает или просто угадывает слово? Иногда кажется, что навык чтения уже появился: 🔸 ребёнок уверенно говорит cat; 🔸 узнаёт dog; 🔸 моментально называет sun; 🔸 видит знакомую картинку и тут же произносит нужное слово. Но стоит убрать картинку или дать незнакомое сочетание букв - и всё. Ребёнок молчит. Почему? Потому что узнать знакомое слово и …

❤2🥰2👏1

31 Aug 2026, 06:28 UTC≈3,260 views8 reactionsread 2 September 2026
Photo

📚 FAIRY READING. STEP 1 - программа, которая действительно ведёт ребёнка к базовому чтению! Ребёнок знает буквы. Может назвать весь алфавит. Узнаёт знакомые слова. А потом видит cat - и молчит. Или пытается угадать слово по картинке. Знакомо? ⚡️ Именно поэтому мы создавали Fairy Reading. Step 1 не как очередной сборник красивых заданий с буквами, а готовую систему обучения чтению, где учителю не нужно самостоятельн…

❤4🔥3👍1

30 Aug 2026, 05:26 UTC≈2,330 views42 reactionsread 2 September 2026
Photo

🎁 Забирайте мини-игру для чтения “Change One Sound!” Очень простая игра, которая помогает ребёнку не просто «узнавать слова», а действительно читать и замечать, как изменение одного звука меняет всё слово. Как играть? На каждой дорожке ребёнок читает первое слово, а затем двигается дальше по стрелкам. Например: sat → mat → map → cap → cat На каждом шаге меняется только один звук. Задача ребёнка: 🔸 прочитать сло…

🔥23❤13👍5🥰1

28 Aug 2026, 19:13 UTC≈2,930 views10 reactionsread 2 September 2026
Photo

Почему после нескольких изученных букв мы уже начинаем читать? Есть очень распространённый сценарий обучения: сначала ребёнок несколько месяцев учит весь алфавит от A до Z, потом повторяет буквы ещё раз, и только после этого ему наконец предлагают попробовать читать. 💡 Но для обучения чтению совсем не обязательно ждать, пока ребёнок выучит все 26 букв! Как только у нас появляется несколько знакомых букв и звуков, …

🥰5❤3👏2

28 Aug 2026, 10:52 UTC≈2,930 views14 reactionsread 2 September 2026
Photo

«Ребёнок знает весь алфавит… Почему же он всё равно НЕ ЧИТАЕТ?!» 🤯 Ребенок может рассказать весь алфавит по порядку и даже спеть ABC song. 🎵 А потом мы показываем ему слово cat и слышим: - си… эй… ти… - А теперь прочитай слово! - 🤷‍♀️ 💡 И вот здесь кроется одна из самых частых ошибок в обучении чтению: знать английский алфавит ≠ уметь читать на английском. Потому что чтение - это не знание 26 букв. Это целая цепо…

🥰6👏4🤩3❤1

27 Aug 2026, 15:50 UTC755 views22 reactionsread 2 September 2026
Photo

🎁 ЗАБИРАЙТЕ ЗАДАНИЕ НА ЧТЕНИЕ “Masha and her Family” Он отлично подойдёт для работы с третьеклассниками: простой понятный текст, знакомая лексика по теме “Family” и сразу несколько заданий на понимание прочитанного. 💛 Забрали текст?! Оставьте свой лайк! 🎁 Больше бесплатных материалов ищите по хэштегу #дарю@plyushkiforelt А если вы работаете по УМК Spotlight, вам точно пригодятся наши воркбуки: 📌 Spotlight 2 Summe…

🥰10👍6👏6

26 Aug 2026, 19:03 UTC≈3,730 views23 reactionsread 2 September 2026
Photo

🎁ЗАБИРАЙТЕ ИГРУ “Spot It!” до отработки темы “Food” Вот такие игры я очень люблю брать на уроки, когда хочется повторить слова. “Spot It!” - это та самая игра, которую многие знают ещё под названием “Dobble”. Обычно начинается с тихого «apple…», а через пару минут уже весь стол наперебой кричит названия продуктов. Такие игры всегда вызывают у учеников восторг, особенно у младших. Здесь и внимание, и скорость реак…

❤14👍5🥰4

26 Aug 2026, 06:20 UTC≈2,740 views6 reactionsread 2 September 2026
Photo

💡 Grammar Workbook 2 - рабочая тетрадь для отработки грамматики для 2 класса + постеры / визуальные опоры Это тетрадь, в которой мы собрали самую нужную грамматику для второго класса и выстроили её так, чтобы ребёнку было действительно понятно: сначала увидел правило, потом потренировался, а затем попробовал выполнить задание самостоятельно. Вы можете использовать тетрадь как самостоятельный продукт или как дополне…

🔥4👍1🥰1

26 Aug 2026, 03:13 UTC855 views23 reactionsread 2 September 2026
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🎁 ЗАБИРАЙТЕ ИГРУ-СОРТЕР НА ОТРАБОТКУ ГЛАГОЛА TO BE - AM / IS / ARE Если ваши ученики уже знают правило, но всё равно периодически выдают что-то вроде “I is” или “they is”, то этот сортер точно вам нужен! Ребёнку нужно: ➡️ вырезать карточки ➡️ определить, в какой домик отправить каждое предложение ➡️ вставить правильную форму глагола to be Можно распечатать, заламинировать и использовать много раз - индивидуально, …

❤17👍3🔥3

25 Aug 2026, 05:39 UTC≈1,340 views6 reactionsread 25 August 2026
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- 20% скидка на любой материал из нашей библиотеки только сегодня➡️ https://t.me/plyushkiforelt/4986 Нашими материалами пользуются более 1000 коллег, и мы получаем положительную обратную связь каждый день! Успевайте забрать материалы, которые помогут вам сократить время на подготовку к урокам и сделать уроки вовлекающими и более продуктивными! 🎁 Забирайте промокод September26 , который дарит -20% скидку от цены на…

❤2👍2🔥2

Showing the 12 most recent of 47 posts we hold for @plyushkiforelt. 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

@plyushkiforelt edited 5 posts 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
8 August 2026
Most recent edit
26 August 2026

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 8 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.

BOOKSHELF for TEACHERS 📚
@englishteacherbookshelf · 35,432
Telegram ranks this channel #16 of 97 here — alongside 96 others — read 3 September 2026
English Created Resources
@freebooks4all · 31,019
Telegram ranks this channel #40 of 75 here — alongside 74 others — read 6 September 2026
Материалы по английскому
@english_materia · 21,517
Telegram ranks this channel #42 of 93 here — alongside 92 others — read 23 September 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“ПЛЮШКИ для УЧИТЕЛЯ английского языка” (@plyushkiforelt), 13,153 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/plyushkiforelt.

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.