Channel
@study_with_luba
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
70subscribers
+1 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002779218392 |
|---|---|
| Type | Channel |
| Username | @study_with_luba |
| Created | 15 August 2025 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/study_with_luba |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 15:11 | 70 | +1 |
| 10 Aug 2026, 09:00 | 69 | no change |
| 10 Aug 2026, 08:47 | 69 | first reading |
12 posts held, back to 15 August 2025 — 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 12 (15 August 2025 – 8 August 2026) |
| Views total | 129 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 09:00 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.
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.
74 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 67.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 50 | 67.6% | |
| 🔥 | 15 | 20.3% | |
| 👀 | 3 | 4.05% | |
| ❤🔥 | 2 | 2.70% | |
| 🥰 | 2 | 2.70% | |
| 💘 | 1 | 1.35% | |
| 🙈 | 1 | 1.35% |
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 10 of the 12 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 74reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 15 August 2025 to 8 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.
помните, одно время была огромная волна споров вокруг феминитивов? не просто блогер, а блогерка не автор, а авторка не редактор, а редакторка и меня тут внезапно догнал вопрос: а откуда вообще взялась идея, что профессия обязательно должна звучать по-разному для мужчины и женщины? потому что в английском всё буквально наоборот She is a blogger He is a blogger She is a doctor He is a doctor She is a writer He is…
🔥3❤1
Есть мысль начать учить третий иностранный язык и вести здесь небольшой дневник процесса 🤩 Что думаем? 👀 Кстати, какой выбрали бы вы? ❤️- португальский 🔥- испанский
🔥9❤3
Напомню, что основная информация и ссылки на важное в закрепе А впереди посты с полезной информацией 🤩
❤2🥰2
Кажется, я пропал отсюда примерно на год 🥺 Если вы за это время не отписались, то спасибо. Это либо судьба, либо вы просто забыли, что подписаны. Оба варианта меня вполне устраивают 🤍 За этот год произошло очень многое: учеба, новые проекты, стажировки (Fudan University),работа, новые идеи и, конечно, преподавание. И в какой-то момент я понял, что очень скучаю по этому каналу Поэтому… я возвращаюсь И возвращаюсь …
❤4👀3🙈1
✨Асинхронные занятия по китайскому или английскому ❓Что это? Это формат, когда вы занимаетесь в удобное время и в своём темпе Я каждую неделю отправляю вам материалы, задания, видео- или аудиоматериалы, а вы выполняете их тогда, когда вам удобно — без необходимости подстраиваться под расписание Все уже подобрано под ваш уровень и запрос После этого вы получаете подробный разбор, комментарии и индивидуальные реко…
❤9❤🔥2💘1
Сегодня хочу поделиться с вами новым форматом занятий 🤭
❤1
Стоимость занятий 👇🏻 🇺🇸Английский язык 60 минут - 1000 45 минут - 800 4 урока по 60 минут - 3800 🇨🇳Китайский язык 60 минут - 1200 45 минут - 1000 4 урока по 60 минут - 4600
❤8
Люба, teach me!🇨🇳🇺🇸 pinned «大家好！ 我叫刘芮！ А вообще, привет, меня зовут Люба) Кто я и откуда: - Живу в Тюмени, но учу языкам по всему миру - Училась в России и Китае, сдавала IELTS (и даже ЕГЭ) - Готовлю к языковым экзаменам и знаю как заговорить без стресса - Люблю путешествовать, много…»
Что умею? 🇬🇧 Английский 🇨🇳 Китайский • Готовлю к экзаменам — ЕГЭ, ОГЭ, IELTS, TOEFL, HSK • Помогаю заговорить на английском или китайском с нуля • Объясняю грамматику и провожу индивидуальные занятия 💻 Занятия на платформе Google meet, 45 или 60 минут Для начала предлагаю вам попробовать бесплатно: — Тест на уровень английского или китайского — Пробный урок, чтобы познакомиться со мной и форматом 📩 @luyba_t нап…
❤7
— А диплом-то есть? — Есть! Красный и даже с международным сюжетом 🌏 🎓 Бакалавр международных отношений (английский + китайский) 🎓 Училась в NENU — Северо-Восточном педагогическом университете в Китае 🎓 Сдавала IELTS и знаю, как это не просто пережить, но и получить результат А ещё… я уже подала документы в магистратуру, но это пока секрет 🤭
❤9
大家好！ 我叫刘芮！ А вообще, привет, меня зовут Люба) Кто я и откуда: - Живу в Тюмени, но учу языкам по всему миру - Училась в России и Китае, сдавала IELTS (и даже ЕГЭ) - Готовлю к языковым экзаменам и знаю как заговорить без стресса - Люблю путешествовать, много читаю и стараюсь быть творческой Чем больше языков мы знаем, тем с большим количеством людей мы можем говорить Поэтому, я уверена, что языки открывают нам весь…
❤6🔥3
Channel created
Showing the 12 most recent of 12 posts we hold for @study_with_luba. 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 — 1,351,447 of 1,480,688entries 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.
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Люба, teach me!🇨🇳🇺🇸” (@study_with_luba), 70 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/study_with_luba.
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.