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learnnflex 🇺🇲🇨🇳

@learnnflex

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

1,688subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001642361158
TypeChannel
Username@learnnflex
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/learnnflex

Growth

1,6851,6981,691.57 August 2026 — 1,685 subscribers8 August 2026 — 1,698 subscribers10 August 2026 — 1,693 subscribers14 August 2026 — 1,688 subscribers1,6887 August 202614 August 2026
4 measurements spanning 7 days, net +3. 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 1,683–1,700 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 05:091,688-5
10 Aug 2026, 23:441,693-5
8 Aug 2026, 06:171,698+13
7 Aug 2026, 09:471,685first reading

Engagement

20 posts held, back to 27 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.0%
avg views ÷ 1,688 subscribers
Avg views / post
321
18 posts measured
Reaction rate
7.47%
reactions ÷ views · ER floor
Posts in window
20
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 6 August 2026
Posts held20 (27 July 20266 August 2026)
Views total5,786
Reactions total432
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:44 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

432 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 519725073989370850819244.4%
custom 523592280581551966511927.5%
custom 52354668220226068889522.0%
💔173.94%
🤣92.08%

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 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 18 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 432reactions 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 27 July 2026 to 6 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

6 Aug 2026, 07:39 UTC176 views19 reactionsread 7 August 2026
Photo

кажется, в последнее время я настолько ушла в работу, что совсем перестала радовать вас новыми бесплатными материалами 🥱 много времени сейчас уходит на перенос Outcomes, разработку уроков на заказ и закрытый банк материалов... но пора исправляться тем более, по результатам последнего опроса большинство из вас захотели бесплатный урок на тему lifestyle или путешествий ✈️ значит, именно его и ждите в ближайшие дни ❤️

custom 519725073989370850812custom 52359228058155196657

5 Aug 2026, 12:10 UTC217 views8 reactionsread 7 August 2026
Photo

Набор на следующую рассылку 🎮 ЦА: преподаватели английского языка 📆 Дата: 15 сентября Свободных мест: 2/6 Тема рассылки: Game On любые компьютерные игры, игровые вселенные, культовые персонажи, стриминг, Twitch, Discord, Steam, киберкультура, виртуальная жизнь и любые другие темы, связанные с миром видеоигр и современной игровой индустрией Формат: 👾 2–3 полноценных урока (Miro, Holst, PDF) 👾 любые уровни Стоимост

custom 51972507398937085088

5 Aug 2026, 01:36 UTC211 views28 reactionsread 7 August 2026
Photo

🎀🎀🎀🎀🎀🎀 The Boston Marathon Bombing: When Assumptions Get in the Way недавно я посмотрела документальный сериал Netflix о теракте на Бостонском марафоне, который был совершен двумя чеченцами, и ещё несколько дней не могла отойти от этой истории 😰 меня зацепил не только сам ход расследования, но и то, как легко люди начинают строить предположения, опираясь на внешность, происхождение или собственные стереотипы. именн

💔14custom 51972507398937085088custom 52359228058155196656

5 Aug 2026, 01:00 UTC198 views10 reactionsread 7 August 2026
Photo

🥳 Unit 5 Outcomes Beginner (A1) уже доступен на Miro! // теперь внутри уже 5 полноценных юнита — 25 интерактивных уроков вместе с моими бонусными авторскими уроками что уже внутри: ⚫️5/12 юнитов полностью перенесены на Miro ⚫️полностью интерактивный формат без скриншотов ⚫️встроенные аудио и видео ⚫️дополнительные warm-up, pronunciation, YouTube Listening и speaking-задания ⚫️бонусный аутентичный урок после каждого

custom 52359228058155196656custom 51972507398937085084

4 Aug 2026, 14:19 UTC210 views8 reactionsread 7 August 2026
Video

😀😃😃😃😃😃😃😃 Late Summer Lessons Summer numbers (ordinal&cardinal numbers) — A2 — Miro 🗺 🙃🙃🙃🙃🙃🙃🙃🙃🙃🙃 Чтобы забрать этот и еще 18 готовых уроков себе уже 7 августа в 20:00 по МСК, переходите в бота @listopad_eng_bot, отправляйте ему команду /start и следуйте инструкциям 🐱

custom 52359228058155196654custom 51972507398937085082custom 52354668220226068882

4 Aug 2026, 10:29 UTC231 views15 reactionsread 7 August 2026
Forwarded from @learnnflexshopPhoto

🛍 Golden Apple | What’s in Your Beauty Cart? | A2+–B1, Miro Зайти в Золотое яблоко только за новым средством для умывания — и выйти с полной корзиной ухода. Знакомая ситуация? 😅 Этот урок посвящён уходовой косметике: средствам для лица, волос и тела. Ученики не просто учат beauty-вокабуляр, а проходят полноценную симуляцию онлайн-шопинга 👇 🛒 определяем свой Beauty Shopping Personality и обсуждаем, как скидки, тренд

custom 52354668220226068888custom 51972507398937085084custom 52359228058155196653

3 Aug 2026, 08:14 UTC265 views35 reactionsread 7 August 2026
Photo

😀😃😃😃😃😃😃😃 Late Summer Lessons Пока все морально готовятся к сентябрю, мы с коллегами подготовили 19 бесплатных уроков, которые помогут красиво проводить лето и плавно перейти в осень 💐 🗺 Материалы на Miro: ❤ Seasonal Recap — B1–B2 (adults) (based on an authentic article) ❤ Autumn Vibe (based on Peppa Pig) — A1–A2 (kids) ❤ Summer Bucket List: Romanticize Your Summer — A2+ ❤ Summer Numbers (Ordinal & Cardinal Numbers)

custom 523592280581551966513custom 519725073989370850812custom 523546682202260688810

3 Aug 2026, 05:19 UTC277 views56 reactionsread 7 August 2026

«я охуенно знаю английский» именно так я думала... ровно до первого дня в китайском университете или то, как твои розовые очки разбиваются once ты ступаешь ногой на кампус своего универа в СНГ мы так гордимся тем, что ходим на допы по английскому, сдаем успешно языковые экзамены, можем поддержать разговор со своим тичером на тему "кем я хочу стать, когда вырасту" а потом ты приходишь на свою первую пару в зарубежн

custom 519725073989370850824custom 523546682202260688815custom 523592280581551966514💔3

3 Aug 2026, 04:03 UTC270 views10 reactionsread 7 August 2026

🎀🎀🎀🎀🎀🎀🎀🎀 // итоги июля 🍓 месяц был очень продуктивным, помимо создания уроков, я отлично провела свои первые две рассылки, начала переносить учебник и сделала много материалов 🎀 ⭐️почитать: ⭕️ как я выстраиваю video-based уроки ⭕️ записки бывшей студентки из Китая: к чему я не могу привыкнуть после возвращения из Китая ⭕️ записки бывшей студентки из Китая: я рада, что родилась в Казахстане ⭕️ вести threads — это к

custom 519725073989370850810

2 Aug 2026, 06:32 UTC283 views10 reactionsread 7 August 2026
Forwarded from @learnnflexshopPhoto

🌻 Do You Really Need SPF Every Day? B2-C1 урок, который поможет разобраться, какие популярные мифы о солнцезащитном креме действительно опасны, а какие давно пора перестать считать правдой Студенты не только узнают, что говорят дерматологи, но и научатся уверенно обсуждать уход за кожей, давать советы и аргументировать своё мнение на английском языке внутри 👇 ☀️ разбираем 6 самых популярных мифов о SPF в статье ур

custom 51972507398937085088custom 52354668220226068882

31 Jul 2026, 08:42 UTC362 views13 reactionsread 7 August 2026
Photo

💴 1000 ₽ → 0 ₽. Только сегодня❗️ Мои три самых популярных beauty-урока ещё можно забрать бесплатно 🖇️ развенчиваем мифы про SPF 🖇️урок по Golden Apple с настоящей beauty-лексикой 🖇️ гелевый маникюр по аутентичному YouTube-видео А ещё внутри вас ждут 11 современных уроков про skincare, beauty-маркетинг, Clean Girl, уход за волосами и другие актуальные темы Если вы давно хотели добавить в свои уроки современные beaut

custom 51972507398937085089custom 52354668220226068882custom 52359228058155196652

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

Citation-graph rank

Citation-graph rank — 24,313 of 1,481,346entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 6 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“learnnflex 🇺🇲🇨🇳” (@learnnflex), 1,688 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/learnnflex.

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.