Real estate — 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 98% 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 6 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 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 18 comparable posts for this entry, running 27 July 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 6, the earliest publisher we hold is @nedmos. 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 5 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.
1 more channel is in this same group but not listed individually here.
Growth
33 measurements spanning 42 days, net -105. 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 55,072–65,491 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 12:41
64,116
+266
16 Sept 2026, 04:00
63,850
-347
14 Sept 2026, 12:38
64,197
+537
12 Sept 2026, 20:01
63,660
-597
10 Sept 2026, 18:37
64,257
+86
7 Sept 2026, 19:15
64,171
+288
4 Sept 2026, 22:22
63,883
+2,143
3 Sept 2026, 04:17
61,740
+1,192
2 Sept 2026, 03:44
60,548
-181
1 Sept 2026, 00:15
60,729
+1,445
30 Aug 2026, 22:25
59,284
+1,171
30 Aug 2026, 01:25
58,113
+512
29 Aug 2026, 04:33
57,601
+1,327
28 Aug 2026, 03:07
56,274
-1,630
27 Aug 2026, 03:02
57,904
-6,186
26 Aug 2026, 00:27
64,090
-95
24 Aug 2026, 21:36
64,185
+526
23 Aug 2026, 08:34
63,659
-166
21 Aug 2026, 19:07
63,825
-157
20 Aug 2026, 13:38
63,982
first reading
Engagement
93 posts held, back to 27 July 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
43.8%
avg views ÷ 64,116 subscribers
Avg views / post
28,100
44 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
44
of 93 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
93 (27 July 2026 – 26 September 2026)
Views total
1,234,350
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 03:05 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
≈47,800
Videos
≈445
Links
≈585
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.
Video runtime
7m 36s
Average length
23s
Measured directly from 20 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.
✅ 3 ошибки при выборе премиальной квартиры, о которых жалеют после покупки
➖ Большинство покупателей смотрят только на красивые рендеры и виды из окон. Однако эксперты выделяют 3 скрытых критерия, которые часто преподносят как плюс, а на деле они убивают комфорт и ликвидность:
➖ Инфраструктура рядом:
‼️ Застройщики молчат о будущей застройке вокруг. В Москве прямо сейчас есть несколько премиальных ЖК, перед окнами…
Москвич переселяется в свое новое комфортное и экологичное жилье, взятое в ипотеку на 100 лет в 2035 году, за которое нужно каждый месяц отдавать три зарплаты, почку и душу.
✅ Деревянное домостроение набирает обороты: в России растет спрос на дома сверхбыстрой сборки
➖ В России формируется новая отрасль деревянного домостроения из цельного массива. Главная фишка технологии — абсолютная точность деталей: комплект дома привозят на фуре, а возвести его по инструкции можно своими силами, как мебель из IKEA. При этом скорость строительства оказывается в 2 раза выше обычного бруса и в 3 раза …
Якиманка в девятый раз подряд стала самым дорогим районом «старой» Москвы. Даже вторичное жилье здесь стоит в среднем ₽816,5 миллиона за квадратный метр. На втором месте Хамовники (₽780,6 тысячи), на третьем — Арбат (₽723,4 тысячи). Квартиры в Пресненском районе, где находятся знаменитые Патрики, стоят «всего» ₽602,3 тысячи за квадратный метр.
🛜В Московском регионе заморозили стройку 700 тыс. «квадратов» складов
С начала 2026 года девелоперы приостановили строительство 31 складского объекта общей площадью около 700 тыс. кв. м в Москве и Подмосковье. За восемь месяцев в регионе ввели 1,6 млн кв. м складов — на 15% меньше, чем годом ранее. По прогнозу IBC Real Estate, к концу года показатель может достичь 3 млн кв. м, а в 2027–2028 годах рынок постепенно пр…
На проспекте Вернадского рядом со станцией метро «Университет» возведут очередной высотный жилой кластер. Комплекс будет состоять из двух огромных башен высотой 190 м и 230 м, а также двух малоэтажных корпусов. Характерной чертой проекта станут кубические «вставки», представляющие собой террасы и балконы.
🛜В Госдуме предложили выдавать врачам квартиры за 10 лет работы
Депутаты КПРФ предложили новую меру поддержки медиков: передавать им жилье в собственность после 10 лет работы в государственной или муниципальной системе здравоохранения. Речь идет о возможности приватизировать служебную квартиру либо получить жилье, находящееся на государственном балансе. По мнению авторов инициативы, такая мера поможет удержать враче…
🛜Молодёжи предложили помогать копить на жильё
В Госдуме предложили открыть для россиян от 18 до 35 лет специальные жилищные накопительные счета. Молодые люди смогут копить на них до пяти лет, а государство — ежегодно добавлять 20% от накопленной суммы, но не более ₽300 тыс. в год. Эксперты считают, что программу стоит дополнить льготами по ипотечной ставке и скидками от застройщиков. Иначе обычные банковские вклады …
✅ 10 российских ЖК из будущего: дома, которые сами заботятся о жителях
➖ Ещё недавно подобные проекты казались невозможными: здания, которые знают привычки своих жителей, сами регулируют комфорт, очищают воздух, следят за безопасностью и состоянием инженерных систем. Что уже умеют современные ЖК и какие технологии появляются в домах нового поколения — в видео.
🛜В Швеции придумали дом площадью 1,9 «квадрата». Только московским застройщикам не показывайте
В Швеции представили проекты микродомов, рассчитанных исходя из того, какое жильё сегодня реально может позволить себе 25-летний житель страны. Самый компактный вариант для Стокгольма занимает всего 1,9 кв. м. Для Гётеборга разработали дом на 3,1 кв. м, для Умео — 4,5 кв. м.
Авторы проекта таким образом решили наглядно по…
Новый складной iPhone Duo в России стоит примерно столько же, сколько четыре месяца аренды средней однокомнатной квартиры в Москве. Если же учитывать только бюджетные районы, то речь уже как минимум о полугоде аренды.
Showing the 12 most recent of 93 posts we hold for @stroyvestnik. 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 1 registered channel — 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Строительный Вестник | Москва МО” (@stroyvestnik), 64,116 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/stroyvestnik.
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.