За мир, трамвай, велодороги и качели. Против заборов, человейников и прочей грусти. Ютуб: youtube.com/ArkadiyGershman
Реклама на канале: [email protected]
A+ Включен в перечень персональных страниц:
www.gosuslugi.ru/snet/67923e6019290c0f93619f6a
Created
7 January 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Local community — 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 21 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
Growth
31 measurements spanning 34 days, net +570. 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 48,230–48,973 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
9 Sept 2026, 02:20
48,887
+45
5 Sept 2026, 18:01
48,842
-3
3 Sept 2026, 16:42
48,845
+3
2 Sept 2026, 07:25
48,842
+4
1 Sept 2026, 05:28
48,838
+1
31 Aug 2026, 07:16
48,837
+20
30 Aug 2026, 09:56
48,817
+33
29 Aug 2026, 09:16
48,784
+17
28 Aug 2026, 08:33
48,767
+18
27 Aug 2026, 09:15
48,749
+8
26 Aug 2026, 12:34
48,741
+18
25 Aug 2026, 11:02
48,723
+19
24 Aug 2026, 13:52
48,704
+45
22 Aug 2026, 23:03
48,659
+49
21 Aug 2026, 11:55
48,610
+7
20 Aug 2026, 14:35
48,603
+9
19 Aug 2026, 13:32
48,594
+41
18 Aug 2026, 10:36
48,553
+8
17 Aug 2026, 13:19
48,545
+13
16 Aug 2026, 01:54
48,532
first reading
Engagement
66 posts held, back to 2 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 71 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.6%
avg views ÷ 48,887 subscribers
Avg views / post
11,000
51 posts measured
Reaction rate
3.52%
reactions ÷ views · ER floor
Posts in window
51
of 66 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 9 September 2026
Posts held
66 (2 August 2026 – 9 September 2026)
Views total
562,960
Reactions total
19,793
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Sept 2026, 22:23 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
≈19,200
Videos
≈633
Links
≈8,530
Lifetime counters from Telegram’s own channel header, read 9 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
8m 00s
Average length
40s
Measured directly from 12 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
26,301 reactions across 63 posts, in 11 distinct kinds. The most used accounts for 39.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
10,404
39.6%
🤣
5,365
20.4%
👍
2,716
10.3%
😢
1,637
6.22%
🤔
1,587
6.03%
🕊
1,454
5.53%
💯
907
3.45%
🥴
824
3.13%
🤯
682
2.59%
🤬
572
2.17%
👎
153
0.582%
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 66 of the 66 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 27,271 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 66 most recent posts we hold, published 2 August 2026 to 9 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.
Telegram Stars
Stars received
12
across the posts below
Posts paid on
9
of 66 we hold a reading for · 14%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gre4ark. 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 66 most recent posts we hold for this entry, published 2 August 2026 to 9 September 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.
Advertising
Ad load
4.55%
3 of 66 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
9,640
over 3 measured posts
Median views · rest
11,200
over 63 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.
Measured over the 66 most recent posts we hold, published 2 August 2026 to 9 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.
Варшава и Вильнюс — last call
Если вы собирались прийти на мою лекцию, но думали «куплю билет потом» — это потом уже наступило.
Я уже пакую вещи и выдвигаюсь в следующие города тура, а билетов тем временем осталось совсем немного (в Варшаве — всего 6 мест). Так что если будете дальше откладывать, то будут только сожаления.
Напомню, на лекции я расскажу, как в 20 веке города умудрились потерять самих себя: как их н…
Пикник на обочине
… или как в Москве сделали трассу вместо набережной.
Я уже проговаривался, что долгое время прожил в районе м. Пролетарской в Москве, где бесконечно шла стройка «очень важной» Крутицкой и Симоновской набережных. Там долгая история фейлов и переделки проектов, но нам сейчас важно, что 5 лет проезда вдоль воды не было — и за всё это время ничего ужасного вообще не случилось, даже несмотря на появлен…
Знаете, что общего у финнов и испанцев?
У каждого в доме есть сауна. Но есть нюанс.
У финнов баня идёт как опция в квартире или общая в подвале. А у испанцев сауна — это лифт.
Вот стану мэром Барселоны — обязательно поставлю в каждый лифт по кондиционеру!
Царские домики
В новом ролике мелькали кадры деревянной дореволюционной застройки — несколько кварталов всё же пережили власть девелоперов и коррупционеров. Но сегодня они не считаются гнилушками или каким-то убогим жильём: оказывается, если следить за домами и не поощрять поджоги, то даже здания конца 19 века могут быть вполне удобным современным жильём.
При этом дома сохранились во многом благодаря своей отдалённ…
Коррупция уничтожила целый город
Звучит как сюжет для художественного фильма, но это реальная история из Финляндии! В какой-то момент чиновники и застройщики так увлеклись «развитием», что город начал терять самого себя — и следы этой истории до сих пор буквально у всех перед глазами.
Я съездил в этот город, чтобы разобраться, как Финляндия получила свою собственную «болезнь» и почему последствия решений полувеково…
Что же пошло не так?
От аэропорта Барселоны до города ходит метро и автобусы. Притом большие автобусы ездят каждые 4 минуты, но как видно по фото — даже с такими интервалами мест не хватает и люди стоят в проходе.
Но почему же никто не идёт в метро, которое едет почти туда же?
А потому что метро пустили всеми возможными кругами, а автобус едет прямо. В итоге метро есть, но автобусы быстрее и потому забиты.
Кстати…
Как помочь Шуховской башне?
Вчера я написал пост об августовской новости: компания РТРС объявила, что осенью начнет демонтаж Шуховской башни на Шаболовке. Мы в «Глазами инженера» в поддержку башни проводим Шухов Фест, марафон бесплатных экскурсий, инициируем публикации в медиа. Сохранение подлинных конструкций очень важно, и мы продолжаем настаивать на необходимости именно реставрации, а не воссоздания из новых мате…
Пирс по вызову
Продолжаем смотреть на водные причуды Стокгольма — сегодня покажу одну паромную фишку.
Архипелаг Стокгольма включает огромное количество островов, да и сам город сильно разрезан водой. Поэтому часто быстрее и проще всего добраться до того же центра не на метро или машине, а по воде. Для этого у города есть целая сеть паромов, причём ездить на них можно по обычному городскому билету на транспорт.
У п…
Скверами, парклетами да линейными парками сегодня никого не удивишь. А что насчёт благоустройства с помощью пирсов?
Как вам такая экспансия на воду из Стокгольма?
У нас тут не это!
В Петербурге вдохновились парижской идеей 15-минутного города — и сделали всё наоборот:
Петербург собираются превратить в «город за 15 минут». По планам властей, поездка горожан на машине с окраин до центра в будущем будет занимать четверть часа.
Не, ну дорожники и банкиры конечно молодцы, так извратить идею 15-минутной пешей доступности ради новых подрядов и концессий — моё почтение. И вообще мы…
🤬425🤣113🥴38🕊17❤9
Showing the 12 most recent of 66 posts we hold for @gre4ark. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@gre4ark edited 2 posts 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
9 August 2026
Most recent edit
24 August 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 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.
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.
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.
Read from Telegram’s recommendation API, most recently 26 August 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.
Брусника. Говорит и показывает @brusnikacompany · 37,870 Telegram ranks this channel #10 of 96 here — alongside 95 others — read 31 August 2026
Архитектурные излишества @arkhlikbez · 123,784 Telegram ranks this channel #10 of 96 here — alongside 95 others — read 13 August 2026
Architecture @Architecture2021 · 36,215 Telegram ranks this channel #18 of 82 here — alongside 81 others — read 1 September 2026
СпецДорПроект @spetsdor · 29,413 Telegram ranks this channel #24 of 95 here — alongside 94 others — read 8 September 2026
Москва. Детали @MoskvaDetaly · 35,971 Telegram ranks this channel #24 of 98 here — alongside 97 others — read 2 September 2026
Russian Architecture @RussianArchitecture · 49,743 Telegram ranks this channel #60 of 98 here — alongside 97 others — read 25 August 2026
Дом вдали — старые дома в продаже @domvdaly · 33,050 Telegram ranks this channel #62 of 89 here — alongside 88 others — read 4 September 2026
ШЭР / Шеринг. Экология. Рациональность @etosher · 50,212 Telegram ranks this channel #65 of 95 here — alongside 94 others — read 26 August 2026
ТС @tihonsm · 41,936 Telegram ranks this channel #66 of 95 here — alongside 94 others — read 29 August 2026
После_Завтра | Николай Дубинин @poslezavtraofficial · 54,207 Telegram ranks this channel #66 of 93 here — alongside 92 others — read 24 August 2026
Илья Варламов @varlamov · 237,506 Telegram ranks this channel #80 of 93 here — alongside 92 others — read 11 August 2026
Redroom Text @redroomtext · 75,794 Telegram ranks this channel #81 of 92 here — alongside 91 others — read 19 August 2026
This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Город для людей” (@gre4ark), 48,887 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/gre4ark.
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.
