Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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 the other topics.
Growth
24 measurements spanning 89 days, net -120. 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 6,292–6,448 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
2 Nov 2026, 20:06
6,310
-4
30 Oct 2026, 13:35
6,314
-7
27 Oct 2026, 23:39
6,321
-4
24 Oct 2026, 18:38
6,325
+4
21 Oct 2026, 19:39
6,321
-6
18 Oct 2026, 16:40
6,327
+12
15 Oct 2026, 16:06
6,315
-2
12 Oct 2026, 11:52
6,317
-24
5 Oct 2026, 14:20
6,341
-1
27 Sept 2026, 18:56
6,342
+4
18 Sept 2026, 07:00
6,338
-10
14 Sept 2026, 06:58
6,348
-9
10 Sept 2026, 19:58
6,357
-18
6 Sept 2026, 02:16
6,375
+12
2 Sept 2026, 03:48
6,363
-8
30 Aug 2026, 03:08
6,371
-15
27 Aug 2026, 04:45
6,386
-7
23 Aug 2026, 20:29
6,393
-7
19 Aug 2026, 22:42
6,400
-6
16 Aug 2026, 19:08
6,406
first reading
Engagement
80 posts held, back to 29 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 13 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.2%
avg views ÷ 6,310 subscribers
Avg views / post
707
35 posts measured
Reaction rate
3.31%
reactions ÷ views · ER floor
Posts in window
35
of 80 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. It is computed over the 34 of 35 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
80 (29 July 2026 – 5 November 2026)
Views total
24,756
Reactions total
789
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 13:04 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
≈614
Videos
≈425
Links
≈1,010
Lifetime counters from Telegram’s own channel header, read 5 November 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
15m 39s
Average length
59s
Measured directly from 16 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
2,849 reactions across 65 posts, in 44 distinct kinds. The most used accounts for 14.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
423
14.8%
🙏
422
14.8%
🤬
391
13.7%
💯
346
12.1%
❤
225
7.90%
🔥
164
5.76%
😱
134
4.70%
😁
123
4.32%
🤡
98
3.44%
🤮
82
2.88%
💩
75
2.63%
🤯
48
1.68%
🤔
38
1.33%
😭
36
1.26%
💔
27
0.948%
😈
27
0.948%
👏
25
0.878%
😢
24
0.842%
👌
22
0.772%
😡
19
0.667%
24 further kinds
100
3.51%
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 76 of the 80 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 3,463 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 29 July 2026 to 5 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 35 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🦆 Маск удалил из соцсети X все свои публикации в поддержку республиканцев.
Маск потерял ~$30 млрд на промежуточных выборах в США. Потери связаны со снижением стоимости акций SpaceX и Tesla.
И еще около 200 млн $ на поддержке республиканцев.
@parstodayrussian
⬆️ ⬆️ ⬆️
НАЧАЛО
🇷🇺 А теперь главное для нас.
Как текущая ситуация отразится на России?
🌍 Демократы попытаются сейчас остановить войну США против Ирана и дистанцируются от Израиля во главе с Нетаньяху. Это хорошо, когда прекращаются войны. Но демократы - не добрые парни, а демшиза, ненавидящая Россию. И после прекращения атак Ирана они попытаются с двойной энергией нанести урон нашей стране. К слову сказать, на Ир…
Грузовик US AIR FORCE взлетает из аэропорта Бен-Гурион. Прилетел утром, разгрузился. Так же ночью в Израиль прибыл разведчик RC-135 и самолет AWACS US NAVY.
По разговорам, США все таки решили нанести несколько ударов по Ирану, по горной части где «обогащают уран». Видимо надо сбить инфоповод выборов.
Это была ночь лжи
🇷🇸🇷🇺 Сегодня утром в Москву прибыл Александр Вулин, председатель «Движения социалистов» Сербии и партии-соинициатора СОВИНТЕРНа. На фоне политической кампании, развернутой против него новоизбранным «Студенческим Списком», сербский политик прокомментировал задержание и разворот своего самолета, а также ложные обвинения в его адрес со стороны подконтрольных парламентскому большинству СМИ:
«После цело…
Самое интересное и важное последствие разгрома Трампа - судьба Джей Ди Вэнса. Пока что вице-президент ведёт себя абсолютно правильно - он написал, что причиной поражения была война с Ираном. А ещё добавил - цитируя опросы - что американцы, кроме прекращения войны хотели борьбы с инфляцией, чтобы Америка была на первом месте (приоритет внутренним делам перед внешними) и изменений отношений с Израилем. Молодец - не пот…
🟥 Чак Шумер, который до сего дня был лидером демократического меньшинства в Сенате, а теперь стал лидером демократического большинства:
Эта война должна закончиться. Эта война должна закончиться. Но при этом необходимо поддерживать Украину!
@parstodayrussian
Да, Мэри Лия Трамп (Mary Lea Trump) — родная племянница Дональда Трампа.
Кем она приходится Дональду Трампу:
Отец Мэри — Фред Трамп-младший (Fred Trump Jr.), который был старшим братом Дональда Трампа. Фред трагически скончался в 1981 году.
Кто она по профессии — американский писатель и клинический психолог с докторской степенью (PhD).
Известность — она получила широкую известность благодаря критической книге о своё…
Племянница Дональда Трампа, клинический психолог доктор Мэри Трамп написана книгу о том, как семья Трампа «создала самого опасного человека в мире», почему патриархальные установки сломали двух братьев, а Дональду — помогли, и как нынешний президент сумел построить имидж человека, который всего добился сам, хотя за его спиной всегда стоял отец.
Несмотря на то что мои тети и дяди будут думать иначе, я пишу эту книгу не из соображений наживы или из чувства мести. Если бы мной руководило одно из этих намерений, я бы написала книгу о нашей семье многими годами ранее, когда еще было невозможно предположить, что Дональд будет спекулировать своей репутацией серийного банкрота и неспособного ведущего реалити-шоу, чтобы совершить восхождение в Белый дом; когда это б…
Необычайно то, что при всем внимании и освещении, которое в течение последних пятидесяти лет получала деятельность Дональда в СМИ, он никогда не был объектом тщательного изучения. Хотя недостатки его характера и аберрантное поведение комментируются и высмеиваются, не предпринималось практически никаких попыток понять не только то, как он стал тем, кем является, но и почему он постоянно выходит сухим из воды, невзирая…
Атмосфера раскола, которую в семье Трампов создал мой дед, является той средой, в которой Дональд чувствует себя как рыба в воде, и раскол до сих пор продолжает приносить ему дивиденды за счет других людей. Это изматывает страну так же, как уничтожило моего отца, и изменяет нас, хотя сам Дональд остается неизменным. Это ослабляет нашу способность проявлять доброту или верить в прощение — понятия, которые для него ник…
👍12✍1❤1
Showing the 12 most recent of 80 posts we hold for @IsraelShamir0. 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.
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 8 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.
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.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Шамир, Исраэль(ru.wikipedia.org) “…дня]]. (Отмечал, что служил в 101-м батальонеhttps://t.me/s/IsraelShamir0?before=2287.)
С [[1975]] г. проживал за пределами…” read 1 November 2026
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 2 November 2026 — this
entry's latest reading, not the date you are reading this.
“Israel Shamir Исраэль Шамир” (@IsraelShamir0), 6,310 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/IsraelShamir0.
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.