Politics & activism — 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 18 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Views per post sit far above this size band
6,710 average views per post against 8,235 subscribers — an engagement rate of 81.5%. Across the 6,651 registered channels in the same cohort — 3,167–9,999 subscribers, posting mainly in Russian — the middle half sit between 4.82% and 18.0%, with a median of 9.51%.
What this was computed from
Window
30 days (20 August 2026 – 19 September 2026)
Posts measured
43 of 43 published in the window (3 exact, 40 rounded by Telegram)
Views totalled
288,562
Mature posts only
110.4% over 20 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 19 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 1 other registered channel, 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.
15 measurements spanning 42 days, net +2,723. 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 5,098–8,670 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 04:18
8,235
-19
12 Sept 2026, 22:38
8,254
-4
8 Sept 2026, 15:38
8,258
+275
3 Sept 2026, 06:16
7,983
+66
30 Aug 2026, 16:06
7,917
-1
27 Aug 2026, 19:53
7,918
+12
24 Aug 2026, 23:13
7,906
+45
21 Aug 2026, 14:05
7,861
-13
18 Aug 2026, 21:45
7,874
+644
15 Aug 2026, 19:12
7,230
-23
12 Aug 2026, 04:42
7,253
+1,718
9 Aug 2026, 12:01
5,535
+25
6 Aug 2026, 13:10
5,510
-2
6 Aug 2026, 03:35
5,512
no change
5 Aug 2026, 22:06
5,512
first reading
Engagement
100 posts held, back to 1 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 16 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
81.5%
avg views ÷ 8,235 subscribers
Avg views / post
6,710
43 posts measured
Reaction rate
0.884%
reactions ÷ views · ER floor
Posts in window
43
of 100 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 28 August 2026
Posts held
100 (1 August 2026 – 28 August 2026)
Views total
288,562
Reactions total
2,552
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 19:49 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
28m 38s
Average length
1m 41s
Measured directly from 17 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
9,016 reactions across 83 posts, in 48 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,822
31.3%
🤡
1,462
16.2%
🤬
1,447
16.0%
🕊
581
6.44%
🖕
337
3.74%
😢
315
3.49%
👏
243
2.70%
😭
237
2.63%
🔥
211
2.34%
💔
199
2.21%
❤🔥
146
1.62%
👎
146
1.62%
👍
143
1.59%
🤣
138
1.53%
💩
104
1.15%
😁
79
0.876%
😱
74
0.821%
🙏
66
0.732%
😡
46
0.51%
🤯
45
0.499%
28 further kinds
175
1.94%
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 98 of the 100 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 9,180 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 100 most recent posts we hold, published 1 August 2026 to 28 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
27
across the posts below
Posts paid on
20
of 100 we hold a reading for · 20%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @endoflaw. 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 100 most recent posts we hold for this entry, published 1 August 2026 to 28 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.
Из реестра иноагентов исключили приемного сына Генри Резника
Приемный сын вице-президента Адвокатской палаты Москвы Генри Резника, священник Соборной православной апостольской церкви Андрей Львов, был объявлен иноагентом в декабре 2024 года.
Объявление последовало вслед за внесением в реестр иноагентов главы этой Церкви – сына Александра Галича Григория Михнова-Вайтенко. В Апостольскую церковь Львов, получив титул …
Павел Крисевич обвинил ФСБ в давлении на его жену
«Все уже видели новость о задержании моей жены Лены, – написал запросивший убежище во Франции акционист. – Это, очень сильный удар для меня, так как Лена просто вернулась в Россию, чтоб быть со своими старыми и больными родителями. Особенно учитывая, что единственное, что ее связывает с политической деятельностью, – это факт нашей свадьбы. Лена ни в чем активном не п…
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Супруга запросившего политическое убежище во Франции акциониста Павла Крисевича Елена Моргунова задержана в рязанском Скопине.
Моргунова на время вернулась из Парижа в РФ – и сегодня была задержана, а впоследствии и арестована на 10 суток.
Согласно сведениям «Слова защите», автобус, в котором Моргунова ехала со своей матерью, был остановлен на дороге полицией …
⚖️ Суд признал незаконным отказ избиркома в регистрации правозащитника Алексея Оглоблина кандидатом на выборах в Перми
Об этом молодой человек сообщает в своем телеграм-канале. Ленинский районный суд Перми обязал избирательную комиссию пересмотреть вопрос об отказе в регистрации независимого кандидата в местную думу.
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После оглашения решения адвокат Роман Морозов прокомментировал решение суда. Адвокат сказал, что «Яблоко» ожидало такого исхода дела, но всё равно подробно представило свою позицию в суде. Он огласил программу партии из 43 слов, поскольку именно к ней у истца были претензии. За …
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…
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Сейчас в базе есть только один человек — вымышленный Петр Петрович Петров, родившийся 14 января 2001 года. Согласно тестовой карточке, его привлекли к ответственности по с…
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🕊10😢8❤4🤬2🙏2
Showing the 12 most recent of 100 posts we hold for @endoflaw. 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.
Republished by 56 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 110 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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Слово защите” (@endoflaw), 8,235 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/endoflaw.
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.