Channel
@sidpolit
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
8,118subscribers
+82 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001303833342 |
|---|---|
| Type | Channel |
| Username | @sidpolit |
| Created | 30 January 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/sidpolit |
Film & TV — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 40% 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.
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.
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 8 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @sidpolit/28841 · this entry3 Aug 2026, 12:00 UTC | @ddofa/385113 Aug 2026, 13:04 UTC | 1.00 | 64 minutes |
| @sidpolit/28846 · this entry4 Aug 2026, 05:05 UTC | @ddofa/385184 Aug 2026, 11:34 UTC | 1.00 | 6.5 hours |
| @ddofa/385245 Aug 2026, 09:36 UTC | @sidpolit/28854 · this entry5 Aug 2026, 09:55 UTC | 1.00 | 19 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @ddofa | 5 (5/5 hand-verifiable sample passed) | 1.00 | 64 minutes | this entry (3–2) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 27 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 8, the earliest publisher we hold is @sidpolit — which is this entry. That is a statement about our reading window, not a claim of authorship.
5,320 average views per post against 8,118 subscribers — an engagement rate of 65.6%. Across the 4,866 registered channels in the same cohort — 3,167–9,999 subscribers, posting mainly in Russian — the middle half sit between 4.47% and 17.7%, with a median of 8.99%.
| Window | 30 days (23 August 2026 – 22 September 2026) |
|---|---|
| Posts measured | 40 of 42 published in the window (35 exact, 5 rounded by Telegram) |
| Views totalled | 212,872 |
| Mature posts only | 89.7% over 21 posts read at least 24h after publication |
| Subscribers | 8,118 measured 15 September 2026 |
| Cohort | b3162:rus · 4,866 channels · p10 2.35% · p25 4.47% · p50 8.99% · p75 17.7% · p90 27.8% |
| Position in cohort | 99.157th percentile · 7.3× the cohort median |
| Uncertainty | ±0.043% of the figure, from Telegram’s rounding |
| Post language | Russian · 100.0% of the window’s posts |
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 keys clone_mutual · err_high, last confirmed 22 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.
This channel’s posts match, word for word or near enough, posts on 7 other registered channels, 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 05:38 | 8,118 | +2 |
| 11 Sept 2026, 08:40 | 8,116 | +92 |
| 2 Sept 2026, 10:11 | 8,024 | +5 |
| 30 Aug 2026, 17:23 | 8,019 | -4 |
| 27 Aug 2026, 15:04 | 8,023 | -10 |
| 21 Aug 2026, 10:15 | 8,033 | -54 |
| 18 Aug 2026, 15:33 | 8,087 | +2 |
| 15 Aug 2026, 19:16 | 8,085 | +52 |
| 12 Aug 2026, 08:43 | 8,033 | -2 |
| 6 Aug 2026, 03:04 | 8,035 | no change |
| 6 Aug 2026, 02:10 | 8,035 | -1 |
| 5 Aug 2026, 23:38 | 8,036 | first reading |
146 posts held, back to 3 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 19 pages of Telegram’s post history, 20 posts per page.
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 28 of 40 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 146 (3 August 2026 – 28 August 2026) |
| Views total | 212,872 |
| Reactions total | 49 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 19:17 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.
Measured directly from 13 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.
246 reactions across 93 posts, in 5 distinct kinds. The most used accounts for 51.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 127 | 51.6% | |
| ❤ | 44 | 17.9% | |
| 💯 | 33 | 13.4% | |
| 🔥 | 24 | 9.76% | |
| 👏 | 18 | 7.32% |
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 100 of the 146 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 277 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 146 most recent posts we hold, published 3 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.
Сибиряк pinned «Сибирь. Итоги недели Премьер-министр РФ Михаил Мишустин отметился двумя распоряжениями для сибирских регионов. Во-первых, Томская область получила списание задолженностей по бюджетным кредитам в размере 2,5 млрд рублей. Губернатор Владимир Мазур назвал направления…»
Сибирь. Итоги недели Премьер-министр РФ Михаил Мишустин отметился двумя распоряжениями для сибирских регионов. Во-первых, Томская область получила списание задолженностей по бюджетным кредитам в размере 2,5 млрд рублей. Губернатор Владимир Мазур назвал направления, куда пойдут высвобожденные средства: поддержка бизнеса, формирование комфортной городской среды, социальные задачи и развитие региона, в целом. Во-вторых…
❤1
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❗️Карякин Сергей Александрович, представитель Народного фронта, сенатор Российской Федерации, гроссмейстер, многократный чемпион Мира по шахматам,член ЦШ НФ, специально для Telegram канала Московская прачечная Государство таким образом создает условия для того, чтобы как можно больше детей могли заниматься спортом, а занятия были доступными и удобными для семей. Это, безусловно, соответствует задаче, которую ставит …
УТРЕННИЙ ОБХОД Свежая подборка новостей СМИ на утро 28 августа от Теле Стрим ▪️Украинские военные жалуются, что российские системы РЭБ начали глушить Starlink, создавая им серьезные проблемы, сообщает El Mundo. "Российский комплекс радиоэлектронного подавления "Волна-Купол-Гарант" способен выводить из строя спутниковую сеть Starlink, которую массово используют в ВСУ", — говорится в публикации. Один из опрошенных из…
Технология Кириенко дала заднюю 📩 Кейс Михаила Матвеева хорошо показал, где технология, которую связывают с внутриполитическим блоком Сергея Кириенко, начинает ломаться. Расчёт, судя по всему, был привычный: убрать неудобного кандидата через формально юридическую процедуру и спокойно идти дальше. Но Матвеев тихо из бюллетеня не исчез. Коммунисты этот кейс отработали по полной: апелляция, партийная мобилизация, публ…
🔥2
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👍1
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Губернатор Новосибирской области Андрей Травников занял место в десятке лидеров Национального рейтинга губернаторов за июль и август 2026 года. Исследование провёл Центр информационных коммуникаций «Рейтинг».
Showing the 12 most recent of 146 posts we hold for @sidpolit. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 185 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“Сибиряк” (@sidpolit), 8,118 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/sidpolit.
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.