Telegram RegisterThe public register of Telegram
Telegram profile photo for AviaNews

Channel

AviaNews

@AviaCT

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Referenced elsewhere · Cite this entry

21,465subscribers

+166 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001265775100
TypeChannel
Username@AviaCT
DescriptionПервыми приносим вам новости мира авиации из России и со всего мира. Качественно и быстро По рекламе - @FitterM3 Для связи - [email protected] РКН: https://clck.ru/3FM769
Created1 September 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/AviaCT

Topic

Automotive — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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 4 other registered channels. This entry also sits inside a group of 7 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@AviaComments/124833 Nov 2026, 11:05 UTC@AviaCT/42108 · this entry3 Nov 2026, 12:02 UTC1.0056 minutes
@AviaCT/42128 · this entry4 Nov 2026, 09:00 UTC@bmpd_cast/270074 Nov 2026, 22:57 UTC1.0014 hours
@bmpd_cast/270095 Nov 2026, 16:48 UTC@AviaCT/42186 · this entry7 Nov 2026, 12:02 UTC1.0043 hours
@wingsofwar/216267 Nov 2026, 07:09 UTC@AviaCT/42186 · this entry7 Nov 2026, 12:02 UTC1.004.9 hours
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
ChannelMatching postsText overlapTypical gapPublished first
@aviadispet4er41 (8/8 hand-verifiable sample passed)1.002.0 hoursthis entry (34–7)
@AviaComments19 (8/8 hand-verifiable sample passed)1.004.6 hours@AviaComments (10–9)
@bmpd_cast5 (5/5 hand-verifiable sample passed)1.0014 hoursthis entry (3–2)
@wingsofwar6 (6/6 hand-verifiable sample passed)1.0011 hoursthis entry (4–2)

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. 7 of the 7 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 379 comparable posts for this entry, running 5 August 2026 to 11 November 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 7 channels, the one whose matching posts we hold earliest is @wingsofwar. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 12 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 7 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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.

Growth

21,29021,46521,377.55 August 202612 November 2026
61 measurements spanning 98 days, net +166. 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 21,264–21,491 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
12 Nov 2026, 10:2021,465+10
10 Nov 2026, 10:2121,455-8
7 Nov 2026, 11:2921,463+12
6 Nov 2026, 08:5121,451-5
5 Nov 2026, 09:0921,456+1
4 Nov 2026, 06:3121,455+8
3 Nov 2026, 07:4021,447-5
2 Nov 2026, 10:2921,452+16
1 Nov 2026, 11:3821,436-6
31 Oct 2026, 11:2721,442-6
30 Oct 2026, 14:5621,448+4
29 Oct 2026, 13:5821,444+5
28 Oct 2026, 16:1021,439+7
27 Oct 2026, 18:5621,432+3
26 Oct 2026, 17:3721,429+2
24 Oct 2026, 18:5721,427-12
23 Oct 2026, 22:1021,439+6
22 Oct 2026, 20:4821,433-2
21 Oct 2026, 17:0721,435+5
19 Oct 2026, 11:1621,430first reading

Engagement

412 posts held, back to 5 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 86 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.6%
avg views ÷ 21,465 subscribers
Avg views / post
5,290
93 posts measured
Reaction rate
0.704%
reactions ÷ views · ER floor
Posts in window
93
of 412 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
WindowRolling 30 days · latest post in window 12 November 2026
Posts held412 (5 August 2026 – 12 November 2026)
Views total491,528
Reactions total3,459
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 15:39 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
≈32,000
Videos
≈5,520
Links
≈12,700

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Video runtime
1h 44m
Average length
41s

Measured directly from 154 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.

Reaction mix

16,385 reactions across 407 posts, in 19 distinct kinds. The most used accounts for 26.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4,40326.9%
👍3,61222.0%
😱2,08012.7%
❤1,3398.17%
🤣1,3208.06%
🤔7974.86%
😭5453.33%
🤯4943.01%
👏4612.81%
🫡3131.91%
🆒2871.75%
🤡2871.75%
😁1921.17%
🤬950.58%
🤨900.549%
👻330.201%
👎310.189%
😡40.024%
🐳20.012%

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 412 of the 412 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 16,535 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 412 most recent posts we hold, published 5 August 2026 to 12 November 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
2
of 412 we hold a reading for · 0.5%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AviaCT. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 412 most recent posts we hold for this entry, published 5 August 2026 to 12 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 93 posts held from the last 30 days (2.15%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 14:32 UTC≈2,730 views19 reactionsread 12 November 2026
Photo

🇷🇺 Шереметьево продаёт 75% «Библио-Глобуса» структурам Wildberries Совет директоров международного аэропорта Шереметьево одобрил продажу принадлежащих ему 75% туроператора «Библио-Глобус» структурам Wildberries & Russ (RWB), сообщает РБК. По оценке одного из собеседников издания, сделка оценивается около 40 млрд рублей. Предполагается, что покупка будет оплачена за счёт будущей прибыли туроператора. Однако, по данн…

😱17❤1👍1

12 Nov 2026, 13:04 UTC≈3,840 views12 reactionsread 12 November 2026
Photo

🇬🇧 Акционеры easyJet одобрили поглощение авиакомпании фондом Apollo за 5,7 млрд фунтов 11 ноября акционеры британского лоукостера поддержали предложение американской инвестиционной компании Apollo о приобретении easyJet. Цена сделки составляет 7,15 фунтов за акцию, а общая стоимость авиакомпании оценена в 5,7 млрд фунтов. На собрании, созванном по решению суда, за сделку проголосовали 97,07% акций, участвовавших в …

❤5👍5🔥1🆒1

12 Nov 2026, 10:02 UTC≈4,500 views24 reactionsread 12 November 2026
Photo

🇨🇳 Бывший глава China Eastern Airlines получил 14 лет тюрьмы за взятки Китайский суд приговорил Лю Шаоюна, бывшего председателя Совета директоров China Eastern Airlines Group, к 14 годам лишения свободы за получение взяток на сумму более 67,5 млн юаней (около 10 млн долларов). Согласно решению суда, в период с 2002 по 2023 год Лю использовал свои руководящие должности в China Eastern Airlines и China Southern Airli…

❤9🔥7👏6👍1😱1

12 Nov 2026, 07:33 UTC≈4,400 views20 reactionsread 12 November 2026
Photo

🇺🇸 Natilus выбрала производителя углепластикового крыла для грузового самолёта Kona Американская Natilus сообщила о заключении контракта с Composites Universal Group (CUG) на изготовление крыльев для полноразмерного прототипа грузового самолёта Kona, построенного по схеме «летающее крыло» (самолёта с интегральной схемой крыла — blended wing body или BWB). Производство организуют в штате Орегон, поставка комплектующи…

❤7👍7🤔5🔥1

12 Nov 2026, 06:03 UTC≈5,250 views22 reactionsread 12 November 2026
Photo

🇪🇺 Airbus построит новый завод по производству пилонов двигателей в Тулузе Airbus планирует построить новое предприятие в Тулузе для производства пилонов крепления двигателей. Завод разместится на участке площадью 48 га в коммуне Корнебарьё, рядом с основным промышленным комплексом компании. По данным французских СМИ, инвестиции в проект составят от 600 до 900 млн евро. К 2037 году на предприятии смогут работать о…

👍14❤8

12 Nov 2026, 05:00 UTC≈4,640 views57 reactionsread 12 November 2026
Video

🇵🇹🌬 На Мадейре ветрено… снова Экипаж Airbus A320neo (б/н EI-SCC) авиакомпании SAS Scandinavian Airlines борется с «погодой» при заходе в аэропорт Фуншал (FNC/LPMI) на острове Мадейра. Виной всему - шторм «Чарльз», обрушившийся на Мадейру 10-11 ноября. Он принёс на остров ураганные порывы ветра и проливные дожди, которые серьёзно осложнили работу аэропорта Мадейры. Скорость порывов ветра на острове достигала 136 км…

🔥30👍14❤5😱5🤣1🤯1🫡1

12 Nov 2026, 03:15 UTC≈4,930 views41 reactionsread 12 November 2026
Video

🌅 Утренний вжух из Сан-Франциско С добрым утром! 🛫️️ AviaNews в телеграм | Запасной аэродром в MAX 📲

🔥28👍6🫡5❤2

11 Nov 2026, 15:02 UTC≈5,000 views38 reactionsread 12 November 2026
Photo

🇨🇳 Китайские ВВС отмечают 77-летие 11 ноября исполняется 77 лет со дня основания Военно-воздушных сил Народно-освободительной армии Китая. В опубликованном по этому случаю обращении говорится, что китайская военная авиация родилась в годы войны. Тогда, несмотря на нехватку вооружений и техники, лётчики были готовы противостоять превосходящему противнику. Потому поводу НОВК выпустили красивые картиночки. 🛫️️ AviaN…

🔥25👏6👍2👻2❤1👎1🤣1

11 Nov 2026, 13:33 UTC≈5,210 views45 reactionsread 12 November 2026
Photo

🇦🇪🏎 Etihad выкрасила Boeing 787 в цвета команды F1 McLaren Авиакомпания Etihad Airways стала официальным партнёром гоночной команды Формула-1 McLaren Racing. Соглашение распространяется на команду McLaren Mastercard Formula 1 Team и коллектив McLaren United Autosports, выступающий в категории Hypercar чемпионата мира по гонкам на выносливость WEC. Логотипы авиакомпании появятся на болидах McLaren сезона 2026 года, …

🔥32❤6👍4👎1🤔1🤨1

11 Nov 2026, 11:03 UTC≈4,590 views22 reactionsread 12 November 2026
Photo

🇭🇰 Cathay Group заказала ещё 14 самолётов Airbus Гонконгская Cathay Group разместила дополнительный твёрдый заказ на 11 широкофюзеляжных Airbus A330-900 и три узкофюзеляжных A321neo, реализовав права на покупку по прежним контрактам. С учётом новой сделки портфель ожидаемых поставок авиагруппы с 2026 года достиг 120 самолётов. Цена контракта и график поставок не раскрываются. Cathay Pacific получит дополнительные A…

🔥15❤7

11 Nov 2026, 09:03 UTC≈4,680 views24 reactionsread 12 November 2026
Photo

🇺🇸 Magnifica Air раскрыла заказ на 10 корпоративных Airbus ACJ220-300 Американская Magnifica Air раскрыл твёрдый заказ на 10 самолётов Airbus ACJ220-300, который раньше числился в портфеле Airbus за неназванным заказчиком. В сообщении также указано, что компания выбрала цифровые системы Airbus Skywise для планирования полётов, управления экипажами и технического обслуживания. Сроки поставок и стоимость заказанных AC…

❤15👍5🔥3🤔1

11 Nov 2026, 07:31 UTC≈4,610 views37 reactionsread 12 November 2026
Photo

🇩🇪 Lufthansa получила первый Airbus A350-1000 – он стал 700-м самолётом Airbus для группы 10 ноября Lufthansa приняла поставку первого Airbus A350-1000. Самолёт с бортовым номером D-AIFA и собственным именем Deutschland стал одновременно 700-м лайнером Airbus, поставленным всей Lufthansa Group. Он получил специальную юбилейную ливрею в честь 100-летия авиакомпании. Новый флагман Lufthansa получил салон Allegris на …

🔥24❤9👍3🤣1

Showing the 12 most recent of 412 posts we hold for @AviaCT. 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

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.

Mentions

Named by 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Авиаторщина
@aviatorshina · 120,458
#1
Авиационная Антресоль
@antresol_avia · 8,669
#2
Авиадиспетчер
@aviadispet4er · 34,209
#3
FlightMode
@aviationmode · 17,782
#4
FrequentFlyers
@frequentflyers · 23,096
#5
Inside Avia
@inside_avia · 11,161
#6
СКОРОСТНОЙ РЕЖИМ
@speed_mode · 5,185
#7
Авиатранспортное обозрение
@ATOjournal · 7,374
#8
Кухня Аэрофлота
@aeroflot_kitchen · 25,202
#9
AviaChatChannel
@aviachatchannel · 9,255
#10
AviaComments
@AviaComments · 11,743
#11
ПАО «ОАК»
@uac_ru · 28,678
#12
Вертолатте
@vertolatte · 6,542
#13
Авиасалон МАКС
@aviasalonmaks · 11,888
#14
Пристегните ремни | авиация
@premni · 30,538
#15
Крылья войны
@wingsofwar · 23,618
#16
Типичный авиатор Life
@tipi4niaviator · 5,050
#17
Пилот ГА
@flugschuler · 9,280
#18
Воевода Вещает
@ZOV_Voevoda · 166,392
#19
ЛЁТЧИК
@letchik_737 · 8,315
#20
Авиасфера
@cometoaviauz · 821
#21
Аэротетраэдр | Нет предела безопасности
@aerotetrahedron · 3,053
#22
Pitot Tube ARCHIVES
@pitot_tube · 4,054
#23
Расследования авиакатастроф
@rumayday · 29,701
#24
ЯПилот
@yapilot · 3,364
#25
AviaticA
@AviaticA · 3,676
#26
Споттинги России • анонсы и экскурсии
@russianspottings · 3,851
#27
Russian Aviation 🇷🇺
@svvaul10 · 14,617
#28
Pilot_on_tour
@awaydays_bestdays · 12,943
#29
Зaпиcки взлётoгoликов
@zapiskivzletogolikov · 4,128
#30
Line Maintenance Engineer
@line_maintenance · 821
#31
Записки бывшей стюардессы
@stewardess_notes · 7,588
#32
Ну чё, народ, погнали!
@ranarod · 123,689
#33
Aviahub
@Aviahub34 · 94,009
#34
Вестник ПВО
@vestnikpvo · 4,100
#35
Lesia737
@aviatorLS737 · 4,066
#36
UUEE approach
@uuee_aprch · 1,282
#37
ДИСПЕТЧЕРСКАЯ
@ATCROOM · 2,780
#38
Chkala_crew
@chkala_crew · 6,469
#39
Авиация21.ру
@aviation21 · 1,778
#40
Мемуары стюардессы
@stewardessnotes · 4,543
#41
АЭРОФЛОТ
@aeroflot_official · 525,589
#42
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#43
Новости Ташкентского Неба🛩
@Tashkent_SkyNews · 8,773
#44
Fighterbomber
@bomber_fighter · 525,130
#45
Mash
@mash · 3,140,033
#46
Всратые Авиаконструкторы
@aviamemes · 10,424
#47
Работа в авиации
@aviahh · 12,256
#48
AVIA.RU - Гражданская авиация
@aviaru_news · 5,894
#49
Милитарист
@infantmilitario · 275,861
#50
Ил-76 Экипаж
@IL_76_CREW · 11,820
#51
MEMAERO
@airsigma · 4,474
#52
Helincidents
@helincidents · 6,921
#53
Авиаспоттинг. Узбекистан.
@aviaspotting_uzb · 902
#54
bmpd
@bmpd_cast · 46,726
#55
Иван Бражников
@soar1ng_falcon · 6,791
#56
Военный Осведомитель
@milinfolive · 614,488
#57
SHOT
@shot_shot · 1,265,529
#58
Авиабудни / AirMech
@airmech · 692
#59
CentralAsia+Aero
@centralasiaplusaero · 2,370
#60
ЕЖ
@ejdailyru · 663,755
#61
Falcon3000
@vsfalcon3000 · 2,619
#62
UZBEKISTAN AIRPORTS
@uzbairportsuz · 12,239
#63
in4avia
@in4avia · 847
#64
Ростех
@rostecru · 43,666
#65
Readovka
@readovkanews · 2,015,419
#66
Военный обозреватель
@new_militarycolumnist · 204,409
#67
РБК. Новости. Главное
@rbc_news · 912,968
#68
Банкста
@banksta · 439,852
#69
Aerospace Lad
@aerospacelad · 835
#70
Старше Эдды
@vysokygovorit · 484,806
#71
Кирилл Фёдоров / Война История Оружие
@warhistoryalconafter · 478,135
#72
Инструктор Арабаса
@captain_Airbus · 5,907
#73
Контакт подъема
@space78125 · 9,137
#74
Скромный Работник Гражданской Авиации.
@heliman86 · 4,318
#75
Обозреватель БПЛА
@dronesrussia · 17,889
#76
Повёрнутые на войне 🇷🇺
@voenacher · 658,288
#77
Белорусский силовик
@belarusian_silovik · 449,848
#78
NskPlanes
@nskplanes · 763
#79
По SUти
@aeroflot_pr · 50,701
#80
МИГ России
@mig41 · 476,345
#81
Минобороны России
@mod_russia · 649,746
#82
Uzbekistan Air Force
@UzAdAF · 1,851
#83
АГВП «РУССКИЕ ВИТЯЗИ»
@RussianKnights · 22,453
#84
Baza
@bazabazon · 1,556,528
#85
Colonelcassad
@boris_rozhin · 750,635
#86
Пул N3
@dimsmirnov175 · 330,919
#87
ТАСС
@tass_agency · 569,137
#88
«O’zaviatsiya» Agentligi
@uzcaa · 1,131
#89

Read from Telegram’s recommendation API, most recently 23 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Авиадиспетчер
@aviadispet4er · 34,209
Telegram ranks this channel #3 of 93 here — alongside 92 others — read 3 September 2026
ПАО «ОАК»
@uac_ru · 28,678
Telegram ranks this channel #4 of 88 here — alongside 87 others — read 9 September 2026
FrequentFlyers
@frequentflyers · 23,096
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 19 September 2026
Расследования авиакатастроф
@rumayday · 29,701
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 8 September 2026
Крылья войны
@wingsofwar · 23,618
Telegram ranks this channel #6 of 85 here — alongside 84 others — read 17 September 2026
Авиаторщина
@aviatorshina · 120,458
Telegram ranks this channel #9 of 89 here — alongside 88 others — read 14 August 2026
Пристегните ремни | авиация
@premni · 30,538
Telegram ranks this channel #10 of 87 here — alongside 86 others — read 7 September 2026
Кухня Аэрофлота
@aeroflot_kitchen · 25,202
Telegram ranks this channel #11 of 85 here — alongside 84 others — read 15 September 2026
Smartavia
@Flysmartavia · 42,308
Telegram ranks this channel #15 of 71 here — alongside 70 others — read 28 August 2026
Международный аэропорт Внуково
@vnukovoairport_VKO · 23,739
Telegram ranks this channel #16 of 75 here — alongside 74 others — read 30 September 2026
АГВП «РУССКИЕ ВИТЯЗИ»
@RussianKnights · 22,453
Telegram ranks this channel #21 of 79 here — alongside 78 others — read 21 September 2026
Уважаемые пассажиры
@dearpassengers · 23,460
Telegram ranks this channel #22 of 83 here — alongside 82 others — read 18 September 2026
Росавиация
@favt_ru · 28,186
Telegram ranks this channel #42 of 94 here — alongside 93 others — read 10 September 2026
Шереметьево
@svo_online · 64,280
Telegram ranks this channel #42 of 82 here — alongside 81 others — read 23 August 2026
ОДК
@uecrus_official · 23,694
Telegram ranks this channel #50 of 93 here — alongside 92 others — read 17 September 2026
По SUти
@aeroflot_pr · 50,701
Telegram ranks this channel #50 of 87 here — alongside 86 others — read 25 August 2026
НОВИКОМ
@novikombank_official · 26,311
Telegram ranks this channel #62 of 90 here — alongside 89 others — read 15 September 2026
Популярная механика ⚙️
@Popmeh · 29,458
Telegram ranks this channel #64 of 88 here — alongside 87 others — read 8 September 2026
Ростех
@rostecru · 43,666
Telegram ranks this channel #71 of 90 here — alongside 89 others — read 29 August 2026
МАИ
@MAIuniversity · 24,642
Telegram ranks this channel #80 of 89 here — alongside 88 others — read 15 September 2026

This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Tejas (ru.wikipedia.org)
“…web|url=https://t.me/AviaCT/36456|title=AviaNews|website=Telegram|access-date=2025-11-21|archive-url=https://web.archive.org/web/20251121174354/https://t.me/…”
read 1 November 2026

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“AviaNews” (@AviaCT), 21,465 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/AviaCT.

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.