Travel — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
4,620 average views per post against 3,865 subscribers — an engagement rate of 119.5%. Across the 40,483 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Russian — the middle half sit between 7.15% and 26.5%, with a median of 14.2%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
20 of 20 published in the window (0 exact, 20 rounded by Telegram)
Views totalled
92,370
Mature posts only
123.0% over 18 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
3 measurements spanning 3 days, net -34. 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 3,860–3,904 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 04:01
3,865
-29
8 Aug 2026, 02:05
3,894
-5
7 Aug 2026, 16:17
3,899
first reading
Engagement
20 posts held, back to 29 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
119.5%
avg views ÷ 3,865 subscribers
Avg views / post
4,620
20 posts measured
Reaction rate
0.621%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 7 August 2026
Posts held
20 (29 July 2026 – 7 August 2026)
Views total
92,370
Reactions total
574
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 05:58 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
Video runtime
1m 15s
Average length
1m 15s
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
574 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 24.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
138
24.0%
👍
138
24.0%
🔥
107
18.6%
😁
104
18.1%
🎉
87
15.2%
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 574reactions 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 29 July 2026 to 7 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.
🚤 Полиция Дубая усилила проверки гидроциклов и напомнила, что большинство происшествий на воде происходит из-за нарушений правил безопасности, таких как превышение скорости, отсутствие спасательных жилетов, опасные манёвры и катание в зонах для купания.
Dubai Travel 🇦🇪
🛍 Туристы в ОАЭ теперь могут оформить возврат НДС не только при покупках в магазинах, но и при соответствующих условиям онлайн-заказах на маркетплейсе Noon
Для удобства путешественников в стране также увеличили количество пунктов оформления возврата до 100.
Dubai Travel 🇦🇪
🗞После прошлой новости о том, что Dubai Duty Free начал принимать криптовалюту, Gulf News рассказал, где ещё в ОАЭ можно расплачиваться Bitcoin и другими криптовалютами.
Например, можно купить авиабилеты Emirates, недвижимость, оплатить некоторые госуслуги.
Dubai Travel 🇦🇪
🏠 С 26 августа в Дубае вступит в силу новый закон, регулирующий аренду жилья: арендаторам запретят пересдавать комнаты и квартиры другим людям, заниматься такой деятельностью смогут только собственники и уполномоченные компании.
Dubai Travel 🇦🇪
🚴 В Дубае открыли новый велосипедный мост через Sheikh Zayed Road, который связал несколько маршрутов в центре города и сделал передвижение на велосипеде более удобным.
Dubai Travel 🇦🇪
💰В Дубае сейчас живёт около 81 200 миллионеров, а также 237 человек с состоянием от $100 млн и 20 миллиардеров
За 10 лет число миллионеров в городе выросло более чем вдвое, на 102%. Дубай оказался одним из мировых лидеров по притоку богатых людей, уступив только 2 китайским городам: Шэньчжэню и Ханчжоу.
Dubai Travel 🇦🇪
🍵 В ОАЭ разработали инновационный травяной чай из проростков финиковой пальмы и зелёных, ещё не созревших фиников, которые обычно считаются побочными продуктами сельского хозяйства
Сейчас напиток проходит испытания: учёные изучают его вкус, пищевую ценность и коммерческий потенциал.
Dubai Travel 🇦🇪
🌠 Gulf News подготовил подробный гид, как в ОАЭ наблюдать и фотографировать метеорный поток Персеиды на iPhone и Android
Издание собрало рекомендации по настройкам смартфонов и лучшим местам для наблюдения.
Dubai Travel 🇦🇪
👮🏻♂️В ОАЭ за первые 6 месяцев этого года изъяли более 3,58 млн единиц нелегальной подакцизной продукции и выявили 82,06 млн AED неуплаченных налогов и штрафов
Среди конфискованных товаров - табачные изделия, электронные сигареты и жидкости для вейпов, энергетические и сладкие напитки.
Dubai Travel 🇦🇪
🚇 В Дубае за первые 6 месяцев этого года 348 млн человек воспользовались метро, автобусами, такси и другими видами транспорта.
В среднем это около 1,9 млн поездок в день.
Dubai Travel 🇦🇪
🌌 12 и 13 августа жители ОАЭ смогут наблюдать максимум активности метеорного потока Персеиды
Благодаря новолунию небо будет особенно тёмным, что создаст одни из лучших условий для наблюдения звездопада в 2026 году.
Dubai Travel 🇦🇪
📸 Дубай стал самым популярным городом мира в социальных сетях, а Burj Khalifa признали самой фотографируемой достопримечательностью планеты
Город насчитывает 147 млн публикаций с хэштегами в популярной сети с картинками, более 43 млн публикаций в TikTok, а также 3,43 млн поисковых запросов в Google ежемесячно.
Dubai Travel 🇦🇪
😁9❤8👍6🎉5🔥4
Showing the 12 most recent of 20 posts we hold for @Dubai_traveling. 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
Citation-graph rank — 971,843 of 1,151,006entries 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.
Mentions
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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Dubai Travel | Путешествие Дубай Новости” (@Dubai_traveling), 3,865 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Dubai_traveling.
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.