Журналист, правозащитник, мечтающий о справедливости для всех и публикующий правду.
Регистрация в перечне РКН: https://knd.gov.ru/license?id=67407c1623bfbf2cbf694cb5®istryType=bloggersPermission
Created
26 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
7 measurements spanning 7 days, net +5. 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 15,816–15,839 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 13:35
15,833
-2
11 Aug 2026, 15:16
15,835
-1
9 Aug 2026, 17:22
15,836
+14
8 Aug 2026, 19:22
15,822
+3
7 Aug 2026, 19:11
15,819
-9
6 Aug 2026, 02:20
15,828
no change
5 Aug 2026, 22:52
15,828
first reading
Engagement
23 posts held, back to 30 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
23.4%
avg views ÷ 15,833 subscribers
Avg views / post
3,710
23 posts measured
Reaction rate
2.43%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 August 2026
Posts held
23 (30 July 2026 – 12 August 2026)
Views total
85,280
Reactions total
2,074
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 01:11 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
≈1,960
Videos
≈236
Links
≈1,640
Lifetime counters from Telegram’s own channel header, read 13 August 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
1m 30s
Average length
45s
Measured directly from 2 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
1,598 reactions across 19 posts, in 28 distinct kinds. The most used accounts for 32.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
511
32.0%
😢
302
18.9%
👍
267
16.7%
💔
76
4.76%
🙏
72
4.51%
🤯
64
4.01%
🤬
58
3.63%
❤🔥
48
3.00%
👏
45
2.82%
🔥
41
2.57%
🕊
32
2.00%
💯
14
0.876%
🤔
13
0.814%
😭
8
0.501%
🥴
8
0.501%
🤣
6
0.375%
👎
5
0.313%
😴
5
0.313%
😡
4
0.25%
😨
4
0.25%
8 further kinds
15
0.939%
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 23 of the 23 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 2,074reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 30 July 2026 to 12 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
3
across the posts below
Posts paid on
3
of 23 we hold a reading for · 13%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Merkacheva. 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 23 most recent posts we hold for this entry, published 30 July 2026 to 12 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.
🤩
Сегодня огласили приговор в отношении женщины-юриста, которая обвинялась в обмане блогерши Митрошиной (якобы с налогами обещала разобраться).
Вину она с самого начала признавала. Куча заболеваний, в том числе крайне тяжелых. Мать-одиночка, малолетний ребенок-инвалид. Потерпевшая просила не назначать наказание, связанное с лишением свободы. Несмотря на нищенское существование и отсутствие работы, обвиняемая даже по…
🤩🤩🤩🤩🤩🤩 🤩 🤩🤩 🤩🤩
В Смоленской области 22-летний местный житель задержан по делу о финансировании терроризма. Он подозревается в том, что перевел деньги человеку, который занимается террористической деятельностью. Якобы парень знал, что его абонент неблагонадежен. А сколько случаев, когда люди понятия не имеют, что отправили перевод по опасному адресу?Мой рассказ о том, многодетная мать из Пензенской области получила…
Знакомьтесь: Лена. 🤩
Она написала комментарий к моему посту про «дар дарения».
Трем авторам душевных комментариев я тогда обещала кофе и книги. И вот выполняю:)
Угостила Лену кофе с булочкой:) А моя книга у нее была, так что подписала ее.
Спасибо Лене за комментарий (про то, как она водит детей в приюты и они вместе выгуливают собак), за знакомство, за то, что нашла время для кофе.
Господи, сколько же вокруг све…
«Так надо!» (несколько лет назад у силовиков даже мем был такой).
Очень грустная и поучительная история.
Многодетная мать из Пензенской области Татьяна получила 8 лет колонии за перевод в 100 долларов (тогда это было порядка 6 тысяч рублей), сделанный в 2018 году. Как уверяет Татьяна, деньги она отправила голодающей женщине с детьми, с которой познакомилась, когда искала пропавшего без вести мужа. Но средства в итог…
Как же здОрово, когда есть трансляция судебного заседания. В идеале максимально все процессы сделать бы такими. И особенно - по уголовным делам.
https://t.me/sovetsudey/1146
📌"Код преступления" с Евой Меркачевой и Василием Бейнаровичем
🔍Тема выпуска — Почему люди берут и дают взятки?
Подключайтесь в 21:05 на 91.2FM в Москве и 91.5FM в Петербурге.
Смотрите эфир — в ВК | RUTUBE | Telegram
📌Подписаться на Радио Sputnik в МАКС
История одного большого обмана
Мы привыкли думать, что самые громкие дела давно изучены вдоль и поперёк. Но новые документы и методы исследования иногда заставляют пересмотреть даже то, что казалось бесспорным.
В своей новой книге Ева Меркачёва обращается к материалам исторических дел и показывает, как современные методы расследования помогают по-новому взглянуть на события прошлого.
В карточках — необычный эпизод…
«Не был способен распознать обман», - такое заключение вынесли эксперты обвиняемому по статье 159 часть 4 УК РФ («Мошенничество в крупном размере») московскому школьнику. Речь о девятикласснике Артеме, который под воздействием телефонных мошенников в начале 2026 года вынес сейф из дома в Подмосковье (ущерб составил 1 миллион рублей).
Цитата из заключения: «Подэкспертный понимал лишь содержание совершаемых действи…
Наталья - медсестра редакции, а еще она работает в аэропорту. На днях спасла пассажирку, у которой случилась клиническая смерть.
Женщина опаздывала на самолёт и так переволновалась, что упала, потерял сознание и не дышала 5 минут. Наша Наталья и её напарники откачали пассажирку. Ура! ❤️
Не страшно опоздать на самолёт, страшно себя загубить из-за стресса.
Желаю спокойствия и вообще хорошенечко отдохнуть на выходн…
23-летний российский студент Дмитрий Фёдоров, находящийся в азербайджанском СИЗО, перестал узнавать близких. Во время свидания с матерью он не смог назвать её имя и принял за сестру.
Парня надо спасать и прямо сейчас.
Напомню, что в СИЗО Баку находятся 8 россиян, которых обвинили в контрабанде наркотиков, при том, что они друг с другом не связаны, работали в разных сферах. Инцидент с их задержанием произошел после к…
Дорогие! 🤩
Рада, что удалось запустить Всероссийский конкурс для журналистов «Пробация: право на возвращение» им. Андрея Бабушкина.
Идея возникла у меня несколько лет назад, и я очень хотела, чтобы подобный проект реализовывался в память о моем коллеге по СПЧ Андрее Бабушкине, который очень многое сделал для того, чтобы в России появилась полноценная система ресоциализации осужденных.
Он говорил, что после освобожд…
Костыли для безрукого. 🩼
Продолжаю рассказывать о муках инвалида 1 группы бессрочно Тимура Шаповалова.
Напомню его историю: в возрасте 6 лет он получил электротравму, когда во время игры в прятки залез в трансформаторную будку. В итоге он лишился двух рук, одной ноги, большая часть тела у него обожжена. Кроме того, у него нет уха. В колонии он оказался после того как был признан виновным в хранении гашиша. Несмотр…
😢48🤯19🤬14💔7❤3
Showing the 12 most recent of 23 posts we hold for @Merkacheva. 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.
Citation-graph rank
Citation-graph rank — 4,697 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 28 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@Merkacheva named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@radio_sputnik named in 5 posts, 8 August 2026 – 12 August 2026
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“МеркачеваПрава” (@Merkacheva), 15,833 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Merkacheva.
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.
