10 measurements spanning 32 days, net -54. 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 7,345–7,421 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Sept 2026, 07:20
7,354
-19
3 Sept 2026, 09:13
7,373
-15
30 Aug 2026, 19:05
7,388
-4
27 Aug 2026, 20:54
7,392
+1
24 Aug 2026, 16:44
7,391
-15
20 Aug 2026, 22:33
7,406
-2
14 Aug 2026, 09:55
7,408
-4
10 Aug 2026, 23:41
7,412
+5
7 Aug 2026, 21:10
7,407
-1
7 Aug 2026, 09:15
7,408
first reading
Engagement
16 posts held, back to 6 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 15 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.0%
avg views ÷ 7,354 subscribers
Avg views / post
1,030
6 posts measured
Reaction rate
2.40%
reactions ÷ views · ER floor
Posts in window
6
of 16 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 27 August 2026
Posts held
16 (6 July 2026 – 27 August 2026)
Views total
6,164
Reactions total
148
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 23:16 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
Video runtime
1m 02s
Average length
16s
Measured directly from 4 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
588 reactions across 16 posts, in 13 distinct kinds. The most used accounts for 37.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
221
37.6%
❤
173
29.4%
🗿
65
11.1%
custom 5388932609168388097
54
9.18%
💅
29
4.93%
🦄
12
2.04%
✍
10
1.70%
🏆
10
1.70%
🐳
5
0.85%
🙏
3
0.51%
👀
2
0.34%
💯
2
0.34%
🤪
2
0.34%
Custom emoji. One row above is a 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 count beside it is 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 16 of the 16 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 588 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 6 July 2026 to 27 August 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
4
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @passivelyam. 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 16 most recent posts we hold for this entry, published 6 July 2026 to 27 August 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
6.25%
1 of 16 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
597
over 1 measured post
Median views · rest
1,280
over 15 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
2W5zFGC5mU5
1
27 August 2026
27 August 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 16 most recent posts we hold, published 6 July 2026 to 27 August 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.
Статус квала теперь можно получить без 24 млн ₽. Я уже попробовал сдать экзамен
20 августа ЦБ расширил перечень документов, по которым инвестора признают квалифицированным. Новые правила вступают в силу 31 августа.
Раньше статус квала покупался деньгами, а теперь его можно получить, сдав экзамен. До этого по образовательному критерию подходили только международные документы вроде CFA, CIIA и FRM, что для большинств…
Квартира за 200 млн ₽ приносит 1,8% годовых. Как из неё сделать 2 млн ₽ в месяц
Недавно на консультацию пришла инвестор. Есть квартира в собственности за 200 млн ₽, сдаётся за 300 000 ₽ в месяц. Спрашиваю про цель, отвечает: хочу получать 2 млн ₽ пассивного дохода в месяц.
Считаем, что есть сейчас:
300 000 ₽ × 12 = 3,6 млн ₽ в год
3,6 млн от 200 млн = 1,8% годовых
Теперь считаем цель. Чтобы получать 2 млн ₽ в мес…
Заёмщик перестал платить вовремя, а мой клиент получил 64% годовых
Недавно писал про сделку, где инвестор получил 144% годовых из-за досрочного погашения. Вопросов после того поста было много, поэтому показываю ещё один кейс, где сделка пошла не по графику и это снова оказалось выгодно инвестору.
Условия сделки:
• сумма займа: 1 000 000 ₽
• ставка: 24% годовых
• выплаты процентов: ежемесячно
• залог: квартира, обр…
100 МЛН ₽ ЕСТЬ. ДЕНЕГ НЕТ.
Звучит абсурдно, но именно так выглядит капитал многих обеспеченных людей.
Вот пример:
• квартира, в которой живёт семья: 40 млн ₽
• загородный дом: 20 млн ₽
• автомобили: 15 млн ₽
• коммерческое помещение без арендатора: 15 млн ₽
• займы друзьям и родственникам: 10 млн ₽
На бумаге состояние 100 млн ₽, а свободного дохода почти нет. Более того, каждый месяц эта собственность сама требуе…
1,2 млн ₽ пассивного дохода, экскурсия в Дринкит и ночная прогулка на прозрачном сапборде
Делюсь самым интересным за последние несколько недель:
📍 Провели экскурсию с моими подписчиками в кофейню «Дринкит», собралось 50+ человек. Разобрали экономику бизнеса и попробовали ту самую сырную пенку 🤤
📍 Подвёл итоги месяца по портфелям своих клиентов. Лучший результат за июль 1,2 млн ₽ пассивного дохода.
📍 Активно работ…
Что делать с деньгами, которые вы дали в долг родственникам или друзьям
Почти каждый инвестор хотя бы раз через выручал деньгами своих близких или друзей и слышал фразу: верну в понедельник.
А через год просрочки, испорченные отношения, суды и постоянный стресс.
Когда мы с инвесторами оцифровываем их портфели, очень часто всплывает одна и та же картина: 5-10 млн ₽ разбросаны по друзьям, родственникам и знакомым. Ч…
Вы богатый человек в Российской империи 1900 года. Ваша задача законно передать капитал прапраправнуку в 2026. Без вывода за рубеж и без зарытых кладов.
Как бы вы действовали?
Напомню, через что предстоит пройти вашему капиталу:
1917: революция, банки национализируют
1922: дореволюционные деньги меняют по курсу 10 000 к 1
1930-е: за «богатое прошлое» можно поехать далеко и надолго
1947: конфискационная реформа обн…
Насколько на самом деле слабеет рубль. Считаем за 28, 20 и 10 лет
Любой спор «рубли или доллары» упирается в один вопрос: с какой скоростью рубль слабеет? Большинство отвечает по ощущениям, а давайте посмотрим на реальные цифры.
Три окна, три разных ответа
Считаем среднегодовую девальвацию по формуле сложного процента: (конечный курс / начальный)^(1/число лет) − 1.
📍За 28 лет (1998-2026): курс вырос с 6 ₽ до 80 ₽…
Где найти 1 млн ₽ бесплатно, не зарабатывая ни рубля сверху
Сейчас расскажу, как найти деньги, которые у вас, скорее всего, уже есть, просто вы их не видите. Без подработки, без новых источников дохода, чистая математика.
У каждого из нас есть две вещи: доходы и расходы. С доходами всё понятно, их надо увеличивать, а вот с расходами хитрее.
Сначала про очевидное
Многие думают: чтобы освободить деньги, надо резать…
Мне 32 🥳 я на коне 🐴
Люблю эту жизнь, людей, которые рядом и благодарю за всё, что у меня есть 🙏
Отдельно благодарю всех моих читателей, пусть ваши доходы всегда превышают расходы минимум в 2 раза 🙌
7 способов получать лям на пассиве: от 250 млн ₽ до 630 лет на заводе
Чтобы получать 1 млн ₽ в месяц, одному человеку нужно 250 млн ₽ капитала, а другому 40 млн ₽. Доход одинаковый, а разница в капитале в 6 раз. Всё решает не сумма, а доходность инструмента.
Собрал 7 способов выйти на лям в месяц, от самых дорогих до самых неожиданных. Последний прям топ 🤌
📍 Способ 1. Квартира под аренду - 250 млн ₽
Покупаете эли…
Свадьба с прилетевшим в меня каблуком, регата, прожарка и новый ЗПИФ на Мосбирже
Чем глубже погружаюсь в мир инвестиций, тем интереснее становится жизнь.
Делюсь самым интересным за последние несколько недель:
📍 Сходил на запуск нового ЗПИФ по недвижимости на Мосбирже. Можно стать совладельцем офисных пространств бизнес-класса от 850 ₽. То есть кусочек большого бизнес-центра по сути доступен буквально каждому.
📍 С…
🔥14💅7🗿5❤3
Showing the 12 most recent of 16 posts we hold for @passivelyam. 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.
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 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.
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.
Николай Мрочковский @mrochkovskiy · 72,374 Telegram ranks this channel #28 of 93 here — alongside 92 others — read 20 August 2026
Сложный процент | финансы @procent · 48,367 Telegram ranks this channel #29 of 97 here — alongside 96 others — read 26 August 2026
Активы / Е. Ходченков/ @hodchenkov · 53,256 Telegram ranks this channel #43 of 88 here — alongside 87 others — read 24 August 2026
Чирков Максим @maxchirtop · 49,842 Telegram ranks this channel #72 of 88 here — alongside 87 others — read 25 August 2026
This channel appears in 4 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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“Лям на пассиве | Мурат Димитров” (@passivelyam), 7,354 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/passivelyam.
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.