Чиллю в Таиланде 🌴 смотрю теннис 🎾 делюсь мыслями о главных событиях: личные наблюдения и немного пляжной философии.
Регистрация в РКН: https://gosuslugi.ru/snet/6aa7c9f4b8f7433ba17639bb
По рекламе — @danigenes2
Created
Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Sports — 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 99% 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 the other topics.
Growth
60 measurements spanning 94 days, net -711. 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 5,975–13,288 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
10 Nov 2026, 00:17
11,643
+444
8 Nov 2026, 18:28
11,199
-17
7 Nov 2026, 10:07
11,216
-10
6 Nov 2026, 10:48
11,226
-10
4 Nov 2026, 11:58
11,236
-8
3 Nov 2026, 10:50
11,244
-1
1 Nov 2026, 09:36
11,245
-6
31 Oct 2026, 08:46
11,251
-8
30 Oct 2026, 11:17
11,259
-2
29 Oct 2026, 14:05
11,261
-5
28 Oct 2026, 11:56
11,266
-6
27 Oct 2026, 13:21
11,272
-4
26 Oct 2026, 15:14
11,276
-2
25 Oct 2026, 17:30
11,278
-4
24 Oct 2026, 16:44
11,282
-8
23 Oct 2026, 17:25
11,290
-8
22 Oct 2026, 16:59
11,298
-6
21 Oct 2026, 14:30
11,304
-3
20 Oct 2026, 13:31
11,307
-2
19 Oct 2026, 10:26
11,309
first reading
Engagement
85 posts held, back to 17 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
86.8%
avg views ÷ 11,643 subscribers
Avg views / post
10,100
25 posts measured
Reaction rate
0.168%
reactions ÷ views · ER floor
Posts in window
25
of 85 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
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
85 (17 July 2026 – 10 November 2026)
Views total
252,777
Reactions total
424
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 21:02 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
Photos
737
Videos
34
Links
74
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
3m 37s
Average length
31s
Measured directly from 7 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
1,298 reactions across 84 posts, in 14 distinct kinds. The most used accounts for 41.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
535
41.2%
🔥
214
16.5%
💯
138
10.6%
😁
136
10.5%
👍
87
6.70%
😱
79
6.09%
😭
33
2.54%
🙏
23
1.77%
🥰
22
1.69%
👏
17
1.31%
🏆
10
0.77%
🎉
2
0.154%
😍
1
0.077%
🤔
1
0.077%
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 84 of the 85 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 1,298 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 85 most recent posts we hold, published 17 July 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 0 of 25 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Тут наткнулся на инфу, что Шелтон уходит от бренда Федерера. Господи, прочитал столько бреда и осуждений, будто бы он сделал что-то противозаконное.
Все правильно сделал! Бабки лишними не будут, там еще и тренер у него новый. А такой чек надо точно забирать.
⚡️ РАЗЫГРЫВАЕМ МЕРЧ С АВТОГРАФОМ СОБОЛЕНКО ⚡️
Арина начинает борьбу за один из главных трофеев сезона на Итоговом турнире WTA, но перед выходом на корт успела подготовить подарки для тебя 🎁
Забрать айтем с автографом амбассадора First&Red прямиком из Индиан-Уэллс проще простого:
🔹 Подпишись на First&Red;
🔹 Подпишись на «Тай-Брейк»;
🔹 Подпишись на «Бол-бой о теннисе»;
🔹 Нажми на кнопку «ТИГРИЦА, ВПЕРЕД!» под этим п…
Ну чего, Алькарас снова чемпик. Забрал за последние два турнира полтора косаря очков, очень круто.
А вот Шелтон очень неплох. Слышал, что тренера скоро поменяет, так может и навяжет конкуренцию за топ-3.
Но видно, что конец сезона, а мужики уже устали. Так что буду ждать уже Итоговый у девочек.
Шикарный антикриз от Пегулы. Наболтала лишнего при микрофонах на Андрееву, извинилась, затем еще насобирала лойсов в инсте.
Наряды, кстати, чутка бабкинские, но опять-таки в тренде.
Надаль станет президентом Реала. Так-то вообще офигеть, мультивселенная безумия.
Честно говоря, совсем не уверен, что у него получится, но буду переживать!
Боже, там в Москве помимо Медведева и Рублева сыграют еще Потапова с Калинской.
Вы что, издеваетесь?! Теперь придется в Москву лететь, что ли. Или к Медведеву на мероприятие на Мальдивы.
Продолжаю рубрику слез и прощаний.
Монфис прощается с французской публикой, а та благодарит его и по фактам, на самом деле. Как же Гаэлю это важно, особенно после недавнего развода со Свитолиной.
Держись, братан!
Плюс вайбик от Рыбакиной в Токио. Потрясающая теннисистка в одном из лучших городов мира.
Нормальная азиатская серия, а не вот это вот все. Лучше на фотки посмотрю, чем буду Рублева смотреть.
Какой красавчик Саня! С трофеем первой ракетки мира!
Поздравляю максимально. Но как эти все очки ему защищать в следующем сезоне - просто не понимаю. Наверное, пока лучше всего вообще об этом не думать.
Какая же Диана умничка! Взяла и выиграла титул под конец сезона, когда уже мало кто верил.
Хороший матч с Фернандес играли, мне прям понравилось. Я думаю, если бы сезон длился еще больше, Шнайдер спокойно бы за десятку поборолась еще.
❤12🔥9💯3
Showing the 12 most recent of 85 posts we hold for @taybreak. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 3 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.
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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Тай-Брейк 🌴🎾” (@taybreak), 11,643 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/taybreak.
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.