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Channel

Teacher's Apple

@teachersapple

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

578subscribers

-45 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001180584708
TypeChannel
Username@teachersapple
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/teachersapple

Growth

578623600.57 August 2026 — 623 subscribers8 August 2026 — 623 subscribers16 August 2026 — 578 subscribers7 August 202616 August 2026
3 measurements spanning 9 days, net -45. 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 571–630 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 14:57578-45
8 Aug 2026, 03:01623no change
7 Aug 2026, 18:18623first reading

Engagement

16 posts held, back to 15 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.7%
avg views ÷ 578 subscribers
Avg views / post
67.5
2 posts measured
Reaction rate
20.7%
reactions ÷ views · ER floor
Posts in window
2
of 16 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 1 August 2026
Posts held16 (15 May 20261 August 2026)
Views total135
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:01 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 03s
Average length
1m 21s

Measured directly from 3 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

167 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 34.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 57671809471789206995734.1%
custom 57673742722468486433118.6%
2515.0%
🔥2313.8%
💯105.99%
custom 598794217599900836174.19%
👍63.59%
custom 576482958572834611852.99%
🥰31.80%

Custom emoji. 4 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 areTelegram’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 16 of the 16 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 167reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 15 May 2026 to 1 August 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

1 Aug 2026, 13:44 UTC46 views13 reactionsread 8 August 2026
Forwarded from @FairyWheelPhoto

🦉 Невероятно, но сегодня 1001 день как Fairy Wheel объединяет любителей читать и влюбляет в чтение на английском! ☺️ 😁 Как и загадочная рассказчица восточных сказок мы любим разжигать интерес наших друзей-подписчиков и стараемся это делать с каждым новым сезоном, с каждой новой книгой месяца... ⏳ За эти 1001 день мы прочитали не один десяток книг: классических и современных, page turners и монотонных (для нас). ⏳ М

🔥73custom 57671809471789206993

Signed Tatiana Tuná

28 Jul 2026, 08:01 UTC89 views15 reactionsread 8 August 2026

Время идет... Александр Васильевич волнуется... А я ем тушенку! (с) "Уральские пельмени" 🌞 Может показаться, что примерно так проходит моё лето... - Но нет! Этим летом мне выпало готовить студентов ко вступительным экзаменам в турецкие университеты. И знаете, что я поняла? 📢 Проблема большинства студентов даже не в грамматике и не в словарном запасе. Проблема - сложить всё это в хорошее сочинение. Как начать? Как с

custom 576718094717892069984🔥3

Signed Tatiana Tuná

11 Jul 2026, 08:32 UTC155 views18 reactionsread 8 August 2026
Photo

📒 Недавно со мной случился приступ ностальгии. Я вспомнила книгу, которую читала в детстве, но помнила только пару строчек. Она была буквально зачитана до дыр: без обложки, с вырванными первыми страницами. Зато я хорошо помнила эпизод, где главный герой попадал в сладкий город. Я кинула клич в соцсетях - и мне помогли найти её! Теперь я смогу снова прочитать эту историю, уже вместе с дочкой. 📚 Именно такие книги ост

🔥63🥰3custom 57671809471789206992custom 57673742722468486432custom 59879421759990083612

Signed Tatiana Tuná

7 Jul 2026, 08:53 UTC151 views28 reactionsread 8 August 2026
Photo

🍎Почему опытный преподаватель не начинает урок с упражнения №1?🍎 Работая сначала в школе, а потом в языковом центре, я постоянно замечала одну и ту же ошибку у начинающих преподавателей. ➡️ Открыл учебник. ➡️ Начал с первого упражнения. Кажется, логично. Но опытный преподаватель обычно думает иначе. Сначала он задаёт себе вопрос: 🎯Что студент должен уметь к концу урока? Потом: 🎯Что поможет ему к этому прийти? И то

custom 5767180947178920699126💯6custom 57673742722468486434

Signed Tatiana Tuná

3 Jul 2026, 07:45 UTC112 views0 reactionsread 8 August 2026
Video

Video, posted without a caption

Signed Tatiana Tuná

3 Jul 2026, 07:45 UTC128 views4 reactionsread 8 August 2026

OMG! I just found myself a perfect burger!!! 😄 And a great video to use while discussing Cooking 🇬🇧

custom 57673742722468486434

Signed Tatiana Tuná

25 Jun 2026, 08:06 UTC155 views10 reactionsread 8 August 2026
Photo

😄 Понимаю, что непростительно так надолго выпадать из блога, но (как всегда) у меня есть excuse... 💁‍♀️ Во-первых, лето и не хочется умничать, а хочется читать легкие книги, как Book Lovers, у бассейна или хотя бы на балконе с ледяным напитком. 💁‍♀️ Во-вторых, я couldn't help but binge-watch сериал From. Wow! Really mind-blowing! Обычно я смотрю сериалы спокойно, зная, что это все не по-настоящему, но тут я постоян

5custom 57671809471789206992custom 57673742722468486432custom 59879421759990083611

Signed Tatiana Tuná

11 Jun 2026, 08:05 UTC184 views14 reactionsread 8 August 2026
Photo

Про CELTA Assignments Продолжая мою CELTA-эпопею, расскажу про письменные задания, которые нам нужно было сдавать помимо проведения уроков. ✉️ Assignment 1 — Focus on the Learner На него нам дали больше всего времени (целых две недели), потому что нужно было: ⭐️ выбрать себе "подопытного" студента из группы, с которой мы работали; ⭐️ наблюдать за его успехами и трудностями; ⭐️ провести небольшое интервью (зачем

custom 57671809471789206999custom 57673742722468486433custom 59879421759990083612

Signed Tatiana Tuná

9 Jun 2026, 08:08 UTC146 views7 reactionsread 8 August 2026
Photo

😄 Помню, что я обещала не пропадать надолго (несмотря на длинные праздники в Турции), но слово свое не сдержала... В свое оправдание могу сказать, что я прочитала ещё одну книгу - а именно Caretaker by Marcus Kliewer. 📖 Эта книга из той же "вселенной", что и We used to live here и я ждала получить какие-то ответы или хотя бы объяснения (наивная я)... 📖 Если в первой книге становится страшно из-за того, что ты не зн

2👍2custom 57671809471789206991custom 57673742722468486431custom 59879421759990083611

Signed Tatiana Tuná

29 May 2026, 12:46 UTC438 views12 reactionsread 8 August 2026
Photo

💁‍♀️ Дорогие мои, сегодня я вам несу новое (для меня) имя в жанре horror - Marcus Kliewer! 💭 Буквально за несколько дней я (в ночи) прочитала его We used to live here и мне местами было так страшно (а я люблю ужастики, ну очень очень!). 👽 Сюжет может показаться странным (но это же ужастик) - девушка Eve и её партнерша Charlie покупают старый особняк на краю леса, чтобы его перестроить-облагородить и продать, зарабо

custom 57671809471789206998custom 57673742722468486433custom 59879421759990083611

Signed Tatiana Tuná

25 May 2026, 18:21 UTC142 views5 reactionsread 8 August 2026
Forwarded from @FairyWheelVideo

Давно мы с вами не общались 😉 Заходите в комментарии и отмечайте, что бы вы выбрали! Делитесь результатами👍

2🔥1custom 57671809471789206991custom 57673742722468486431

Signed Tatiana Tuná

25 May 2026, 08:01 UTC135 views12 reactionsread 8 August 2026
Photo

😄 Пропасть на неделю из блога, чтобы прочитать книгу (и в перерывах слушать викторианский классический детектив и читать свеженький ужастик)... - могу, умею, практикую! 🤨 В Турции долгие выходные Курбан-байрам (9 дней), а у меня активная пятилетняя девица, 6 уроков и 2 встречи книжного клуба! Аааа! 🇬🇧 Но я постараюсь совсем не пропадать и рассказать вам про assignments, которые были у нас на CELTA (а может и еще чт

custom 57671809471789206995custom 57648295857283461184custom 57673742722468486433

Signed Tatiana Tuná

Showing the 12 most recent of 16 posts we hold for @teachersapple. 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

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

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Teacher's Apple” (@teachersapple), 578 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/teachersapple.

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.