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 8 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 2 other registered channels. They sit inside a group of 377 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)
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 25 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 4,373 comparable posts for this entry, running 16 October 2024 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 377, the earliest publisher we hold is @mash. That is a statement about our reading window, not a claim of authorship.
Views and reactions moved apart
On 5 of the 185 posts we watched over 30 days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.0064 reactions per view.
Each interval, as we read it — views and reactions before and after
Expected is the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say. It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the keys clone_copy · clone_mutual · view_reaction_decoupling, last confirmed 27 September 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 376 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.
326 more channels are in this same group but not listed individually here.
Growth
36 measurements spanning 51 days, net +154,476. 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 1,910,279–2,111,097 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
26 Sept 2026, 01:18
2,087,926
+20,483
19 Sept 2026, 08:17
2,067,443
+17,153
16 Sept 2026, 23:17
2,050,290
-2,039
15 Sept 2026, 01:00
2,052,329
+106
13 Sept 2026, 11:00
2,052,223
+30,665
11 Sept 2026, 14:21
2,021,558
-2,104
9 Sept 2026, 01:42
2,023,662
+1,695
5 Sept 2026, 18:36
2,021,967
+3,757
3 Sept 2026, 14:36
2,018,210
+75
2 Sept 2026, 06:06
2,018,135
-1,714
1 Sept 2026, 06:46
2,019,849
+2,130
31 Aug 2026, 09:58
2,017,719
+4,210
30 Aug 2026, 12:12
2,013,509
+3,486
29 Aug 2026, 14:38
2,010,023
+537
28 Aug 2026, 16:48
2,009,486
-1,157
27 Aug 2026, 16:35
2,010,643
+3,522
26 Aug 2026, 15:32
2,007,121
+2,825
25 Aug 2026, 17:48
2,004,296
-18
24 Aug 2026, 20:56
2,004,314
-2,870
23 Aug 2026, 03:27
2,007,184
first reading
Engagement
5,517 posts held, back to 29 September 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 4,395 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.27%
avg views ÷ 2,087,926 subscribers
Avg views / post
26,400
221 posts measured
Reaction rate
0.672%
reactions ÷ views · ER floor
Posts in window
221
of 5,517 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 26 September 2026
Posts held
5,517 (29 September 2024 – 26 September 2026)
Views total
5,841,400
Reactions total
39,238
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 04:05 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
≈8,120
Videos
≈2,070
Links
≈5,550
Lifetime counters from Telegram’s own channel header, read 26 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.
Video runtime
53m 47s
Average length
25s
Measured directly from 130 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 185 of this channel’s own posts over the last 30 days (4 of the 24-hour readings behind this are interpolated, not measured directly): across 178 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 6.5 hours of being posted; a typical post has already reached 24.1% of its 24-hour view count within the first hour, and 66.7% within the first six; the median 24-hour reach across those posts is 19,900 views — 0.953% of this channel’s own subscriber count (90th percentile 24,600).
8 most recently posted, with a view-velocity reading
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
70,509 reactions across 382 posts, in 21 distinct kinds. The most used accounts for 47.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
33,704
47.8%
😁
11,493
16.3%
👍
6,871
9.74%
🔥
4,623
6.56%
👎
3,513
4.98%
🥴
2,011
2.85%
🤬
1,685
2.39%
🗿
1,263
1.79%
😢
887
1.26%
custom 5215680070898722896
867
1.23%
custom 5217423106066392725
697
0.989%
🕊
594
0.842%
🏆
466
0.661%
custom 5217678398922469966
403
0.572%
custom 5215459584457614241
366
0.519%
🙏
324
0.46%
custom 5215331658856704259
267
0.379%
💔
181
0.257%
custom 5217671084593165266
140
0.199%
custom 5215582210068882579
117
0.166%
1 further kind
37
0.052%
Custom emoji. 7 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 1,000 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 213,082 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 16 May 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.
Advertising
Ad load
0.2%
2 of 1,000 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
23,600
over 2 measured posts
Median views · rest
32,100
over 998 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
2Vtzqw3z8vW
1
5 August 2026
5 August 2026
2VtzqxRTrgy
1
3 July 2026
3 July 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 1,000 most recent posts we hold (the sample is capped at 1,000), published 16 May 2026 to 26 September 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.
17-летний студент из Башкирии немного переиграл в GTA и решил добраться домой на двух чужих машинах.
Сначала парень нашёл открытую Lada Priora без ключей и аккумулятора, попытался её завести и даже протолкал около 100 метров. Не получилось — тогда он нашёл другой ВАЗ с ключами в замке, угнал его, доехал до соседнего района, бросил машину и дальше пошёл пешком.
Маршрут построен максимально странно.
🚙Автомания
Какой-то водитель собрал три кирпича подряд, а финальной точкой маршрута стала машина ДПС. После этого он всё равно попытался оспорить лишение прав через юристов — но безуспешно.
Уверенность была до последнего.
🚙Автомания
В Россию начали массово везти японские легенды из 90-х — Nissan Skyline, Toyota Mark II и другие старые JDM-модели.
Всё из-за утильсбора: автомобили старше 30 лет в заводском состоянии от него освобождены. По той же схеме в страну едут Mercedes W140, BMW E38 и другая немецкая классика.
Утильсбор случайно вернул 90-е.
🚙Автомания
Итальянское ателье Riverti взяло свежую BMW M2 и превратило её в визуальную отсылку к легендарной BMW 3.0 CSL из 70-х.
Ателье Riverti полностью переделало внешность купе: спереди появились четыре круглые фары и маленькие «ноздри», сзади — расширенные крылья, новые фонари и сразу два антикрыла. Создатели называют подход «Not resto. Retro» — современная машина в ретро-стиле.
Технику пока не трогали: под капотом остал…
Mazda не повелась на тотальную электрификацию — бензиновые и дизельные моторы останутся в строю.
Японцы считают, что ДВС ещё рано списывать со счетов, поэтому хотят сохранить выбор между обычными моторами, гибридами и электромобилями.
Уже готовится новый двигатель Skyactiv-Z для следующего CX-5, а собственная EV-платформа появится только в 2027 году.
🚙Автомания
Lamborghini готовит целое семейство Temerario — среди будущих версий может появиться даже суперкар для бездорожья.
Сначала компания выпустит открытый Temerario Spyder, а затем более мощные и трековые модификации. Потенциал гибридной установки позволяет поднять отдачу выше 1000 сил , а ещё инженеры рассматривают более лёгкую заднеприводную версию.
Но самое интересное — возможный наследник Huracan Sterrato с увеличен…
Aston Martin Valhalla за $1 миллион внезапно стал мемом из-за своих дверей.
При открытии они отбрасывают на водителя и пассажира тень крайне неоднозначной формы — пользователи соцсетей быстро заметили деталь и растащили кадры на мемы.
Премию — дизайнеру.
🚙Автомания
У россиян начали ОТБИРАТЬ автомобили, ввезённые через Киргизию — уже после покупки и постановки на учёт в России.
Схема выглядит так: машину оформляют в Киргизии, продают россиянину, а спустя время один из прежних владельцев заявляет её в угон. После этого авто попадает в розыск и его могут изъять у нового владельца. По данным Baza, так уже забрали Lexus GX 460.
В похожей истории с BMW X6 M дело дошло до суда — там…
Toyota готовит самую необычную Corolla за последние годы — привычный седан могут превратить в стильный лифтбек.
По данным СМИ, новое поколение получит сразу четыре типа силовых установок: бензин, обычный и подзаряжаемый гибрид, а также полностью электрическую версию с запасом хода от 400 км. Дизайн при этом будет вдохновлён футуристичным концептом Corolla 2025 года.
А для GR Corolla готовят отдельный сюрприз — 2,0-…
Hot Wheels выпустила Porsche 959 за $28 — причём каким он будет, решили сами фанаты.
Коллекционеры Red Line Club голосованием выбрали саму модель, фиолетовый цвет Spectraflame и новые диски с золотистыми ступицами. Масштаб — 1:64, кузов металлический, а сзади открывается крышка, под которой спрятана детализация двигателя.
Предзаказы уже открыты, причём ограничений по количеству машин нет.
🚙Автомания
Американец собрал самый широкий Ford в мире — он взял два Ford Festiva 1988 года, разрезал их пополам и сварил в один огромный кузов. Теперь у машины четыре передних сиденья и сразу два руля, поэтому управлять ей можно с любой стороны.
Параллельная парковка теперь звучит как вызов.
🚙Автомания
❤125😁34👍16🕊3
Showing the 12 most recent of 5,517 posts we hold for @auto_manya. 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
@auto_manya 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
15 September 2026
Most recent edit
15 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 12 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.
Domains linked from posts
97 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.
www.gazeta.ruregistrable domain: gazeta.ru73 posts · 11 August 2025 – 28 December 2025 · example post
www.zr.ruregistrable domain: zr.ru1 post · 13 September 2025 – 13 September 2025 · 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.
“Автомания” (@auto_manya), 2,087,926 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/auto_manya.
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.
