Channel
@turn_around
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,122subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001488363559 |
|---|---|
| Type | Channel |
| Username | @turn_around |
| Created | Between 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/turn_around |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 14:15 | 2,122 | -2 |
| 9 Aug 2026, 23:31 | 2,124 | +2 |
| 6 Aug 2026, 14:01 | 2,122 | no change |
| 6 Aug 2026, 13:56 | 2,122 | first reading |
20 posts held, back to 21 April 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 2 pagesof 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 20 posts for this entry, the most recent from 15 May 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 20 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.
198 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 47.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 94 | 47.5% | |
| 🔥 | 53 | 26.8% | |
| 👍 | 22 | 11.1% | |
| 💋 | 18 | 9.09% | |
| 🥰 | 7 | 3.54% | |
| ❤🔥 | 2 | 1.01% | |
| 👀 | 2 | 1.01% |
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 20 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 198reactions 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 21 April 2026 to 15 May 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.
В японском городе Хида можно покататься на веловагонетках по заброшенной железной дороге. Маршрут длиной 6.6 км проходит через леса и реки с несколькими мостами и тоннелями: поездка длится в среднем 60-75 минут, а чтобы никто сильно не напрягался, педалировать помогают встроенные в велики электромоторы. 🌎 Turn around
❤6👍3👀1💋1
Норвегия 🌎 Turn around
❤11💋1🔥1
Больяско, Италия 🌎 Turn around
❤7🔥3💋1🥰1
Так выглядит «самый клёвый в мире McDonald's» (и это официальное название точки!), где можно пообедать внутри настоящего самолёта. Уникальный ресторан работает в новозеландском городе Таупо. Раньше списанный Douglas DC-3 был символом местного автодилера Aeroplane Car Company, но в 1990 году участок выкупил Мак, превратив лайнер в зал на 10 столиков. 🌎 Turn around
🔥5❤2💋1
В Перу построили самый узкий в мире дом — шириной всего 63 см. И в нём есть все нужное для жизни: кухня, ванная и пара спален. 🌎 Turn around
❤5🔥4👍2
Греция 🌎 Turn around
❤5🔥2💋1
Фуэртевентура, Испания самая древняя и вторая по размерам часть Канарских островов, образовавшаяся из-за извержения вулкана свыше 20 миллионов лет назад. 🌎 Turn around
❤5🔥4🥰2
На вокзале в Будапеште работает уникальный McDonald's в формате ночного клуба. Днём там всё как обычно, но каждую пятницу и субботу врубают световое шоу и до утра выступают с live-сетами. Мак при этом продолжает обслуживать посетителей.
🔥7💋1
Часы в аэропорту Амстердама выглядят так, будто внутри сидит человек, который вручную перерисовывает стрелки каждую минуту. Вместо циферблата в них — дисплей, на котором проигрывается зацикленная запись с 720 разными анимациями: под вечер «мастер» даже устаёт и начинает двигаться медленнее. 🌎 Turn around
👍6❤4❤🔥1💋1🔥1
Ужин на высоте 50 метров: в ресторане Dinner in the Sky кормят за столом, который висит в воздухе на кране. Гостей пристёгивают к креслам, а повара готовят на мини-кухне в центре. 🌎 Turn around
❤5🔥2💋1
🌎 Turn around
❤8🔥2💋1
📍Озеро Агнес, Альберта, Канадские Скалистые горы 🌎 Turn around
❤5🥰3💋1
Showing the 12 most recent of 20 posts we hold for @turn_around. 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 — 929,683 of 1,160,990entries 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“TURN AROUND” (@turn_around), 2,122 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/turn_around.
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.