Automotive — 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 9 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 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. 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. None of the 0 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 475 comparable posts for this entry, running 1 August 2026 to 12 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).
Recorded under the key clone_source, last confirmed 13 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.
Growth
65 measurements spanning 96 days, net -9,546. 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 137,381–149,791 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 03:06
138,813
-126
9 Nov 2026, 13:37
138,939
-131
8 Nov 2026, 07:06
139,070
-82
7 Nov 2026, 04:27
139,152
-111
6 Nov 2026, 03:30
139,263
-85
5 Nov 2026, 05:45
139,348
-87
4 Nov 2026, 06:35
139,435
-81
3 Nov 2026, 04:39
139,516
-92
2 Nov 2026, 06:08
139,608
-85
1 Nov 2026, 03:38
139,693
-64
31 Oct 2026, 05:19
139,757
-101
30 Oct 2026, 03:31
139,858
-66
29 Oct 2026, 06:21
139,924
-82
28 Oct 2026, 05:15
140,006
-70
27 Oct 2026, 08:27
140,076
-192
26 Oct 2026, 06:11
140,268
-230
25 Oct 2026, 08:16
140,498
-161
24 Oct 2026, 08:10
140,659
-92
23 Oct 2026, 08:00
140,751
-109
22 Oct 2026, 06:21
140,860
first reading
Engagement
567 posts held, back to 1 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 200 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.94%
avg views ÷ 138,813 subscribers
Avg views / post
2,700
168 posts measured
Reaction rate
1.61%
reactions ÷ views · ER floor
Posts in window
168
of 567 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 12 November 2026
Posts held
567 (1 August 2026 – 12 November 2026)
Views total
453,389
Reactions total
7,322
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 03:44 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
≈4,660
Videos
≈1,560
Links
≈1,170
Lifetime counters from Telegram’s own channel header, read 13 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
2h 18m
Average length
36s
Measured directly from 231 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
24,291 reactions across 567 posts, in 10 distinct kinds. The most used accounts for 23.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
5,586
23.0%
custom 5434085681955634488
5,527
22.8%
👍
3,270
13.5%
😱
2,752
11.3%
😭
2,499
10.3%
❤
1,999
8.23%
👀
1,298
5.34%
💔
913
3.76%
😁
406
1.67%
custom 5433986554110438426
41
0.169%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 567 of the 567 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 24,291 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 567 most recent posts we hold, published 1 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.
Recent posts
Telegram’s own ‘edited’ marker: 19 of 168 posts held from the last 30 days (11.3%) 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).
Brabus выкатил кабриолет Porsche 911 в карбоне — 800 сил, 2,5 секунды до сотни и максималка 322 км/ч.
За основу взяли гибридный Turbo S и добавили ему 89 лошадей. Всю прибавку выжали из бензинового мотора, а электрическую часть оставили заводской. За звук теперь отвечает выхлоп с клапанами, так что громкость можно менять кнопкой. Снаружи появились карбоновые капот, обвес и спойлер, которые не мешают штатной активной…
Mercedes-Benz остановил все вложения в немецкие заводы — под угрозой закрытия сразу два предприятия.
Всё упирается в стоимость рабочего часа: в Германии она местами в пять раз выше, чем на заводах концерна в Восточной Европе. Ещё в сентябре глава производства Михаэль Шибе предупредил, что без экономии придётся закрыть сборочный завод и завод двигателей. Какие именно, компания не называет, а профсоюз IG Metall пообещ…
Мем: BYD отзывает флагманский внедорожник Great Tang из-за того, что на заводе просто перепутали колёса местами.
Задние диски поставили вперёд, передние — назад. Виной ошибка в коде, и часть машин успела доехать до покупателей. Колёса заменят бесплатно, а гарантия начнётся заново. Компания уверяет, что на безопасность это не влияет, но сколько машин это затронуло, держат в секрете.
Great Tang стоит около $37 тысяч …
Honda воскрешает Element — самый странный внедорожник в истории марки вернётся спустя 18 лет.
Дилерам в Лас-Вегасе показали силуэт машины, которая сохранила квадратный кузов и распашные задние двери. Это будет гибридный кроссовер размером между CR-V и HR-V, нацеленный на зумеров, которые любят вылазки на природу. Производство стартует во втором квартале 2029 года, а тираж за первый полный год может дойти до 100 тыся…
Гений в США продал 47 чужих машин — он брал деньги, но владельцем этих тачек не был.
Эдвард Чиччу из Массачусетса брал машины на аукционе и не платил за них. Пока оплаты нет, аукцион держит документ о праве собственности. Дилер всё равно перепродавал авто, и покупатели уезжали на машинах, которые нельзя было поставить на учёт: документ оставался у аукциона.
Всего он обманул 47 человек на $340 тысяч (~28,1 млн рубле…
Audi выкатила самый дорогой серийный суперкар в своей истории — Nuvolari на 1001 л. с. разгоняется до сотни за 2,6 секунды.
Битурбо V8 выдаёт 800 сил, три электромотора добавляют остальное, а максималка — больше 350 км/ч. Привод quattro заранее считает, где колесо потеряет сцепление, и отправляет тягу туда, где асфальт держит, а активная аэродинамика прижимает машину к трассе силой больше 400 кг. Кузов карбоновый, к…
Китайцы автоматизировали ещё одну профессию — Sinopec тестирует роботов-заправщиков на АЗС.
Механическая рука сама открывает лючок бензобака, вставляет пистолет и подаёт топливо. Водителю даже не нужно выходить из машины. Такие системы тестируют в разных частях страны.
С лючком в мороз будет отдельный квест 🧐
Geely и Renault с нуля создали V8 для Lotus Esprit — британцы готовят суперкар на 1000 сил, который вернётся уже в 2028 году.
Их совместная компания Horse Powertrain собрала четырёхлитровый мотор с двумя турбинами, который выдаёт свыше 680 л.с. и весит 200 кг. Турбины спрятали между рядами цилиндров, чтобы вся конструкция поместилась за спиной водителя.
Электромотор поднимет общую отдачу выше тысячи сил, а массу са…
Диагностика авто дома за $15 — гений подключил нейронку к 32-летнему Jeep Cherokee, и она сама ставит диагноз двигателю.
Для этого понадобились плата Arduino Nano за $3 (~250 рублей), три провода и ноутбук. Провода тянутся от диагностического разъёма под капотом к плате, плата по USB подключена к компьютеру, а ИИ-агент на базе Claude Code через неё получает доступ к бортовому компьютеру Jeep XJ 1994 года. Нейросеть …
🔥15custom 543408568195563448810😱3👍2❤1
Showing the 12 most recent of 567 posts we hold for @kchau. 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.
Posts edited after publishing
@kchau edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
16 October 2026
Most recent edit
16 October 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 3 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.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Кчау!” (@kchau), 138,813 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/kchau.
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.
