Travel — a classification, not a measurement. An on-box language model (qwen3.6:35b-a3b, prompt version 1) read this channel’s own recent posts on 11 November 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 the other topics.
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.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 9 of the 9 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 7 August 2026 to 13 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @HalyavshikiTravel. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
2 measurements spanning 6 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 2–4 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 14:03
3
no change
7 Aug 2026, 16:15
3
first reading
Engagement
20 posts held, back to 7 August 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 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 20 posts for this entry, the most recent from 13 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
≈1,270
Videos
≈1
Links
≈1,420
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Advertising
Ad load
10.0%
2 of 20 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 1 distinct token
Median views · ads
1.0
over 2 measured posts
Median views · rest
1.0
over 18 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqxYtPGF
2
11 August 2026
13 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 20 most recent posts we hold, published 7 August 2026 to 13 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
✈️Горят билеты в Турцию 🇹🇷 от 12 500₽ в одну сторону🔥
🛫Екатеринбург → Анталья
Летим в августе, сентябре от 15 200₽
🏠Жильё бронируем тут
🛫Санкт-Петербург → Анталья
Летим в августе от 14 200₽
🏠Жильё бронируем тут
🛫Уфа → Анталья
Летим в августе, сентябре, октябре от 12 500₽
🏠Жильё бронируем тут
🛫Иркутск → Анталья
Летим в августе, сентябре, октябре от 24 300₽
🏠Жильё бронируем тут
🛫Ставрополь → Анталья
Летим в август…
🇺🇿 🇺🇿 Новое направление у Centrum Air: Ташкент — Пермь
Когда: 7 сентября
На чём: Airbus A321
Расписание: пн
В одну сторону: от 16 500 ₽
Туда-обратно: от 31 500 ₽
Помимо Centrum Air, по этому маршруту летает уже «ЮВТ Аэро». Ранее Centrum Air анонсировала запуск прямых рейсов из Ташкента в Уфу и Екатеринбург.
✈️ @ranarod
✈️Возвращаемся из Египта 🇪🇬 в разные города России: билеты от 4 800₽ с багажом🔥
🛫Шарм-эль-Шейх → Уфа
Летим 13 августа за 4 800₽
🛫Шарм-эль-Шейх → Калининград
Летим 15 августа за 5 700₽
🛫Шарм-эль-Шейх → Сочи
Летим 16, 19 августа от 5 700₽
🛫Шарм-эль-Шейх → Санкт-Петербург
Летим 14 августа за 9 500₽
🛫Шарм-эль-Шейх → Москва
Летим 18 августа за 11 400₽
🛫Хургада → Санкт-Петербург
Летим 13, 14 августа от 4 800₽
🛫Хурга…
Нижний Новгород - Уфа с вылетом в сентябре-октябре — от 3,3 тыс. руб. в одну сторону
→ https://100500miles.ru/f/GOJ1610UFA1
Nordwind Airlines, прямой рейс, с багажом.
Всё ещё в наличии: из Уфы в Ереван за 5900 рублей в один конец и за 14400 рублей туда-обратно!
+ дешёвые билеты из Еревана в Италию, Францию и Нидерланды.
Вылеты с декабря по март.
https://vandrouki.ru/v-armeniyu/iz-ufy-v-erevan-za-14400-rublej-tuda-obratno-deshevye-bilety-iz-erevana-v-evropu/
🔥Подборка туров во Вьетнам 🇻🇳 по отличным ценам!
▫️10 ночей из Уфы 7 сентября от 73 400₽
▫️11 ночей из Казани 29 августа от 79 800₽
▫️10 ночей из Владивостока 31 августа от 46 200₽
▫️9 ночей из Хабаровска 27 августа от 61 400₽
▫️9-11 ночей из Красноярска 30 августа, 1 сентября от 78 100₽
Цена за ОДНОГО при двухместном размещении и может быть изменена туроператором.
Наш сайт, мы в МАХ | TГ, все наши скидки тут
Уфа - Казань с вылетом в сентябре-октябре — от 1,8 тыс. руб. в одну сторону
→ https://100500miles.ru/f/UFA0210KZN1
Nordwind Airlines, прямой рейс, без багажа.
✈️Летим по лучшим ценам🔥
По России:
• Москва → Самара (август, сентябрь) от 4 200₽
За рубеж:
• Москва ⇆ Ларнака (14 - 17 сентября) за 33 600₽
• Сочи → Пекин (август, сентябрь) от 32 400₽
• Уфа → Стамбул (август, сентябрь) от 12 800₽
• Казань → Стамбул (август, сентябрь) за 10 700₽
• Москва → Санья (август, сентябрь) от 21 300₽
• Москва → Стамбул (август, сентябрь) от 11 700₽
• Москва → Тбилиси (август, сентябрь) от…
Showing the 12 most recent of 20 posts we hold for @leaveufa. 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.
Mentions
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Покидая Уфу” (@leaveufa), 3 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/leaveufa.
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.
