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Telegram profile photo for Turs.Sale Дешёвые и горящие туры

Channel

Turs.Sale Дешёвые и горящие туры

@turs_sale

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Domains linked from posts · Cite this entry

95,151subscribers

+66 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001367617922
TypeChannel
Username@turs_sale
DescriptionГорящие туры и распродажи от всех туроператоров: #Москва #СПб #Урал #Поволжье #ЮФО #ЦФОСЗФО #Сибирь #Дальний_Восток Сотрудничество: @PiratesGo Регистрация РКН: https://p.irat.es/rkntgt
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/turs_sale

Topic

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 10 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.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. They sit inside a group of 4 channels that share the same post bodies with each other. 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)
Posted firstThenOverlapGap
@turs_sale/56300 · this entry4 Aug 2026, 11:21 UTC@vandrouki_ru/845024 Aug 2026, 11:21 UTC1.00under a minute
@turs_sale/56302 · this entry4 Aug 2026, 11:23 UTC@vandrouki_ru/845044 Aug 2026, 11:23 UTC1.00under a minute
@turs_sale/56307 · this entry4 Aug 2026, 11:38 UTC@vandrouki_ru/845104 Aug 2026, 11:38 UTC1.00under a minute
@turs_sale/56350 · this entry6 Aug 2026, 10:43 UTC@vandrouki_ru/845686 Aug 2026, 10:43 UTC1.00under a minute
@turs_sale/56351 · this entry6 Aug 2026, 10:45 UTC@vandrouki_ru/845696 Aug 2026, 10:45 UTC1.00under a minute
@turs_sale/56358 · this entry6 Aug 2026, 17:30 UTC@vandrouki_ru/845786 Aug 2026, 17:30 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@vandrouki_ru31 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (29–2)

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. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 44 comparable posts for this entry, running 3 August 2026 to 7 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).

Across the whole group of 4, the earliest publisher we hold is @triptodream. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

94,96895,23695,1026 August 2026 — 95,085 subscribers6 August 2026 — 95,098 subscribers7 August 2026 — 95,112 subscribers8 August 2026 — 95,125 subscribers9 August 2026 — 95,155 subscribers10 August 2026 — 95,170 subscribers11 August 2026 — 95,180 subscribers12 August 2026 — 95,183 subscribers14 August 2026 — 95,189 subscribers15 August 2026 — 95,198 subscribers16 August 2026 — 95,221 subscribers17 August 2026 — 95,230 subscribers18 August 2026 — 95,236 subscribers19 August 2026 — 95,220 subscribers20 August 2026 — 95,207 subscribers21 August 2026 — 95,200 subscribers22 August 2026 — 95,167 subscribers24 August 2026 — 95,157 subscribers25 August 2026 — 95,142 subscribers26 August 2026 — 95,139 subscribers27 August 2026 — 95,132 subscribers28 August 2026 — 95,124 subscribers29 August 2026 — 95,093 subscribers30 August 2026 — 95,070 subscribers31 August 2026 — 95,067 subscribers1 September 2026 — 95,042 subscribers2 September 2026 — 95,029 subscribers4 September 2026 — 95,007 subscribers6 September 2026 — 94,969 subscribers9 September 2026 — 94,994 subscribers12 September 2026 — 94,978 subscribers13 September 2026 — 94,976 subscribers15 September 2026 — 94,968 subscribers17 September 2026 — 95,034 subscribers26 September 2026 — 95,151 subscribers95,1516 August 202626 September 2026
35 measurements spanning 51 days, net +66. 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 94,928–95,276 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
26 Sept 2026, 03:1895,151+117
17 Sept 2026, 11:2195,034+66
15 Sept 2026, 11:4194,968-8
13 Sept 2026, 19:3994,976-2
12 Sept 2026, 02:5694,978-16
9 Sept 2026, 21:2194,994+25
6 Sept 2026, 11:3794,969-38
4 Sept 2026, 00:2195,007-22
2 Sept 2026, 11:4395,029-13
1 Sept 2026, 08:3695,042-25
31 Aug 2026, 11:0695,067-3
30 Aug 2026, 12:1395,070-23
29 Aug 2026, 08:5995,093-31
28 Aug 2026, 09:2495,124-8
27 Aug 2026, 12:1495,132-7
26 Aug 2026, 11:5295,139-3
25 Aug 2026, 12:1995,142-15
24 Aug 2026, 13:3695,157-10
22 Aug 2026, 22:0295,167-33
21 Aug 2026, 13:1795,200first reading

Engagement

1,206 posts held, back to 3 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 107 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.995%
avg views ÷ 95,151 subscribers
Avg views / post
947
639 posts measured
Reaction rate
0.056%
reactions ÷ views · ER floor
Posts in window
639
of 1,206 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. It is computed over the 103 of 639 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 September 2026
Posts held1,206 (3 August 2026 – 26 September 2026)
Views total605,265
Reactions total73
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 11:35 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
≈20,600
Links
≈58,000

Lifetime counters from Telegram’s own channel header, read 27 September 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.

Reaction mix

129 reactions across 106 posts, in 4 distinct kinds. The most used accounts for 88.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤11488.4%
👍86.20%
🤔43.10%
🔥32.33%

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 172 of the 1,000 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 129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 17 August 2026 to 26 September 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

26 Sept 2026, 12:38 UTC≈1,810 views0 reactionsread 27 September 2026
Photo

Хайнань, 8 ночей Вылет из: #Екатеринбург #Урал Даты: 29.09.26 - 07.10.26 Цена: 69900P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/iIGF MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/hajnan-9-nochej-6

26 Sept 2026, 12:37 UTC≈1,610 viewsread 27 September 2026
Photo

Хайнань, 7 ночей Вылет из: #Дальний_Восток #Хабаровск Даты: 29.09.26 - 06.10.26 Цена: 45300P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/fhUY MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/hajnan-7-nochej-84

26 Sept 2026, 12:34 UTC≈1,150 viewsread 27 September 2026
Photo

Абхазия, 6 ночей Вылет из: #Москва Даты: 28.09.26 - 04.10.26 Цена: 10600P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/94gx MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/abhaziya-6-nochej-149

26 Sept 2026, 12:33 UTC≈1,110 viewsread 27 September 2026
Photo

Хайнань, 7 ночей Вылет из: #Москва Даты: 30.09.26 - 07.10.26 Цена: 55400P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/vi0S MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/hajnan-8-nochej-47

26 Sept 2026, 12:32 UTC884 viewsread 27 September 2026
Photo

Нячанг, 7 ночей Вылет из: #Владивосток #Дальний_Восток Даты: 30.09.26 - 07.10.26 Цена: 40100P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/E1iK MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/nyachang-7-nochej-124

26 Sept 2026, 12:28 UTC849 viewsread 27 September 2026
Photo

Абхазия, 6 ночей Вылет из: #Москва Даты: 29.09.26 - 05.10.26 Цена: 9900P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/xt2S MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/abhaziya-6-nochej-148

26 Sept 2026, 12:28 UTC812 viewsread 27 September 2026
Photo

Сочи, 6 ночей Вылет из: #Москва Даты: 28.09.26 - 04.10.26 Цена: 10900P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/EPpz MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/sochi-6-nochej-642

26 Sept 2026, 12:23 UTC799 viewsread 27 September 2026
Photo

Паттайя, 7 ночей Вылет из: #Москва Даты: 30.09.26 - 07.10.26 Цена: 59400P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/oPQA MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/pattajya-7-nochej-398

26 Sept 2026, 12:18 UTC794 viewsread 27 September 2026
Photo

Нячанг, 9 ночей Вылет из: #Новокузнецк #Сибирь Даты: 30.09.26 - 09.10.26 Цена: 50100P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/7apB MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/nyachang-6-nochej-64

26 Sept 2026, 12:16 UTC781 viewsread 27 September 2026
Photo

Паттайя, 8 ночей Вылет из: #СПб Даты: 01.10.26 - 09.10.26 Цена: 67400P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/0rPe MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/pattajya-8-nochej-139

26 Sept 2026, 12:15 UTC748 viewsread 27 September 2026
Photo

Нячанг, 12 ночей Вылет из: #Казань #Поволжье Даты: 13.10.26 - 25.10.26 Цена: 62900P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/H2JZ MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/nyachang-12-nochej-79

26 Sept 2026, 12:10 UTC778 viewsread 27 September 2026
Photo

Архыз, 6 ночей Вылет из: #Москва Даты: 29.09.26 - 05.10.26 Цена: 10300P 🎁 Промокод PIRATES — ваша дополнительная скидка на Onlinetours! Бронировать: https://пртс.рф/V0VC MAX: max.ru/turs_sale Авиабилеты: max.ru/piratesru ВКонтакте: vk.ru/turs.sale Понравилось предложение- перешлите его друзьям: https://turs.sale/tur/arhyz-6-nochej-87

Showing the 12 most recent of 1,206 posts we hold for @turs_sale. 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

Named by 7 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.

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.

Domains linked from posts

5 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

max.ru78 posts · 3 August 2026 – 7 August 2026 · example post
turs.sale39 posts · 3 August 2026 – 7 August 2026 · example post
vk.ru39 posts · 3 August 2026 – 7 August 2026 · example post
p.irat.esregistrable domain: irat.es1 post · 6 August 2026 – 6 August 2026 · example post
level.travel1 post · 6 August 2026 – 6 August 2026 · example post

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Turs.Sale Дешёвые и горящие туры” (@turs_sale), 95,151 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/turs_sale.

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.