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Channel

Закулисье «Цунами»

@backroomtsunami

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

178subscribers

+0 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002356573553
TypeChannel
Username@backroomtsunami
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live31 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/backroomtsunami

Growth

178179178.58 August 2026 — 178 subscribers8 August 2026 — 178 subscribers23 August 2026 — 179 subscribers31 August 2026 — 178 subscribers8 August 202631 August 2026
4 measurements spanning 23 days. 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 178–179 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 07:09178-1
23 Aug 2026, 14:46179+1
8 Aug 2026, 13:30178no change
8 Aug 2026, 06:48178first reading

Engagement

4 posts held, back to 10 October 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 4 posts for this entry, the most recent from 12 December 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 45s
Average length
1m 45s

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.

Reaction mix

96 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 58.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53864761412781439915658.3%
💘2627.1%
custom 53890677674942273691212.5%
custom 538904868065956301222.08%

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 are Telegram’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 4 of the 4 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 96 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 4 most recent posts we hold, published 10 October 2025 to 12 December 2025, 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

12 Dec 2025, 01:29 UTC297 views17 reactionsread 8 August 2026
Forwarded from @tsunami_sportPhoto

Итоги краевых соревнований в г. Арсеньев 9-10 декабря: 200м на спине: 🥈Мацарский Алексей 2 место 🥉Дербин Кирилл 3 место 200м брасс: 🥇Кассихин Никита 1 место 50м брасс: 🥈Кассихин Никита 2 место 100м брасс: 🥈Кассихин Никита 2 место 200м комплексное плавание: 🥇Носырь Матвей 1 место Неделько Мирон выполнил норматив 3 взрослого разряда🦁 Поздравляем наших спортсменов! 💟🦁👏

custom 538647614127814399111💘4custom 53890677674942273692

26 Oct 2025, 09:54 UTC317 views27 reactionsread 8 August 2026
Forwarded from @tsunami_sportPhoto

⚡️⚡️⚡️Сегодня наши спортсмены Лободин Роман и Заика Степан совместно с тренером Романом Дубовым дебютировали в своих первых соревнованиях по фридайвингу в дисциплине DYN (динамика в моноласте). Цель дисциплины: Преодолеть максимальную дистанцию под водой в горизонтальном положении на одном вдохе, используя моноласту. Роман Дубовой - 100м Лободин Роман - 89,6м Заика Степан - 75м Поздравляем с отличным дебютом наших

💘12custom 53864761412781439919custom 53890677674942273696

16 Oct 2025, 08:26 UTC285 views25 reactionsread 8 August 2026
Forwarded from @tsunami_sportPhoto

😎Поздравляем нашего спортсмена Романа Лободина с успешным выступлением на кубке России по плаванию(спорт глухих) По итогам соревнований Роман стал бронзовым приезером на дистанции 200м Баттерфляй (🥉3 место) На дистанции 100м баттерфляй чуть не хватило до призовых, 4 место А, также дебютировал на дистанции 200м на спине и вошел в 10-ку лучших! Поздравляем с отличным выступлением! 🦁💪💪 г. Пенза 11-14.10.2025г

custom 538647614127814399117💘4custom 53890677674942273694

10 Oct 2025, 07:13 UTC285 views27 reactionsread 8 August 2026
Forwarded from @tsunami_sportPhoto

⚡️⚡️⚡️Итоги четвертого дня Чемпионата и Первенства ДВФО по плаванию: 100м брасс (Чемпионат) 🥇Золотенкова Таисия 1 место 100м комплексное плавание (Чемпионат) 🥈Золотенкова Таисия 2 место Эстафета 4х50м комплекс (Чемпионат) 🥇Золотенкова Таисия 1 место 100м брасс (Первенство) 🥇Еремеев Илья 1 место 🥇Золотенкова Таисия 1 место 100м комплексное плавание (Первенство) 🥇Козыревский Роман 1 место (Норматив Мастера спорта🔥

custom 538647614127814399119💘6custom 53890486806595630122

Showing the 4 most recent of 4 posts we hold for @backroomtsunami. 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.

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

“Закулисье «Цунами»” (@backroomtsunami), 178 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/backroomtsunami.

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.