Футбол вновь победил 🥳✌️
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Channel
@Annya_li35k
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
172subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002255274733 |
|---|---|
| Type | Channel |
| Username | @Annya_li35k |
| Created | Between 1 October 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/Annya_li35k |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:16 | 172 | -1 |
| 8 Aug 2026, 14:30 | 173 | no change |
| 7 Aug 2026, 15:19 | 173 | first reading |
15 posts held, back to 5 May 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 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 19 July 2026 |
|---|---|
| Posts held | 15 (5 May 2026 – 19 July 2026) |
| Views total | 87 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 14:30 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 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.
91 reactions across 12 posts, in 9 distinct kinds. The most used accounts for 36.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 33 | 36.3% | |
| ❤ | 23 | 25.3% | |
| 👍 | 16 | 17.6% | |
| 💔 | 9 | 9.89% | |
| 🥰 | 4 | 4.40% | |
| 😁 | 3 | 3.30% | |
| 👎 | 1 | 1.10% | |
| 💩 | 1 | 1.10% | |
| 😢 | 1 | 1.10% |
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 12 of the 15 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 91reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 5 May 2026 to 19 July 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.
Футбол вновь победил 🥳✌️
❤4👎1
Эта фотография поднимет вам настроение на весь оставшийся день ☺️ С победой, #ДинамоМ 👏 @fcdynamo_academy
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Нашли, на кого свалить все проблемы 👏 https://telegram.me/Match_TV/123208
😁3
Это была славная охота. Только сейчас поняла, что я довольно хорошо помню всю его карьеру в сборной. И Евро 2004 помню, ещё с Фиго, когда проиграть титул было сложно, но они умудрились. Ну и тогда уже все говорили про супер игрока. Но кто мог подумать тогда, что этот невероятный пацан с немного кривыми зубами так перевернёт мир футбола. Это была славная охота. Нет, он ещё пару сезонов поиграет. Но сегодня какая-то ча…
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С сегодняшнего дня я старший врач академии Динамо им. Л.И. Яшина. Как-то так)
🔥30💩1
Спишь?
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На этой неделе случилась печальная история. Поэтому всем, кому я не ответила на сообщения, прошу понять и простить. Сегодня-завтра отвечу. В семье подруги убежал котик. Просто выпрыгнул из машины на светофоре. И дальше мы несколько дней ходили по району, искали, расклеивали объявления. А вчера вот уже искали кремацию для тела.... Что хочу сказать по итогу это недели поисков: 1. Начинать надо сразу. Прям вот как тольк…
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Концерты под открытым небом-это любовь ❤️ а такая красота-любовь вдвойне 😍
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P.S. УЗИ или МРТ? 🩺🤔 После предыдущих постов возникает логичный вопрос: «Хорошо, а какое обследование всё-таки делать?» 🤷♂️ На самом деле УЗИ и МРТ не конкурируют между собой. Они отвечают на разные вопросы 🧩. При большинстве хронических болей в плече, тендинопатиях, бурситах и проблемах вращательной манжеты качественное УЗИ часто оказывается не менее информативным, чем МРТ 📉. Более того, у УЗИ есть одно важное …
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Если это воспаление, почему таблетки не помогают? 🤔 Пожалуй, это один из самых распространённых вопросов, который мне задают пациенты на приёме. 🩺 И он действительно заставляет задуматься. 🤔 Потому что ещё относительно недавно большинство заболеваний сухожилий объясняли исключительно хроническим воспалением. Отсюда появился и хорошо знакомый многим диагноз — тендинит. 🔥 Однако в последние десятилетия наше понимание …
Часто пациенты приходят ко мне на приём уже после обследования 🩺. И тут их даже больше пугает заключение МРТ, чем сама боль 😨. «Частичный разрыв сухожилия» 💪. «Дегенеративные изменения» ⚠️. «Тендиноз» 🔥. После таких формулировок многие начинают думать об операции или полном отказе от физической активности 🏃♂️💨. Но очень часто бывает, когда пациент приносит МРТ с довольно серьёзными изменениями, а функция плеча пр…
Давно здесь не было полезных постов. Но сегодня поговорим о проблеме, с которой я сталкиваюсь по несколько раз в день 🗓️. Боль в плече — одна из самых частых жалоб на моём приёме. И очень часто история начинается одинаково 🔄. Человек решил больше двигаться. Кто-то купил абонемент в зал 🏋️, кто-то начал плавать 🏊, кто-то активно занялся дачей (причём время года тут не так важно 🌿), кто-то после долгого перерыва верн…
Showing the 12 most recent of 15 posts we hold for @Annya_li35k. 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Женщина-врач. Dr.Куинн” (@Annya_li35k), 172 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Annya_li35k.
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.