Science — 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 21 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
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.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 2 other registered channels. 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 100 comparable posts for this entry, running 20 July 2026 to 10 November 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.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_source, last confirmed 11 November 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.
Growth
66 measurements spanning 98 days, net +123. 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 48,119–48,572 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
11 Nov 2026, 16:06
48,515
-5
9 Nov 2026, 16:46
48,520
+80
8 Nov 2026, 05:57
48,440
+37
6 Nov 2026, 22:59
48,403
+8
6 Nov 2026, 01:59
48,395
+38
5 Nov 2026, 02:27
48,357
-14
4 Nov 2026, 01:28
48,371
+7
3 Nov 2026, 04:30
48,364
+8
2 Nov 2026, 03:10
48,356
+23
1 Nov 2026, 06:01
48,333
+55
31 Oct 2026, 05:27
48,278
+45
30 Oct 2026, 03:15
48,233
+14
29 Oct 2026, 03:35
48,219
-26
28 Oct 2026, 04:50
48,245
+2
27 Oct 2026, 01:55
48,243
-11
26 Oct 2026, 02:28
48,254
-5
24 Oct 2026, 23:15
48,259
-9
23 Oct 2026, 23:31
48,268
-24
22 Oct 2026, 21:09
48,292
-6
21 Oct 2026, 20:31
48,298
first reading
Engagement
116 posts held, back to 18 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 194 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.7%
avg views ÷ 48,515 subscribers
Avg views / post
14,400
51 posts measured
Reaction rate
2.57%
reactions ÷ views · ER floor
Posts in window
51
of 116 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 10 November 2026
Posts held
116 (18 July 2026 – 10 November 2026)
Views total
735,880
Reactions total
18,939
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 05:12 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
15m 59s
Average length
32s
Measured directly from 30 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
50,139 reactions across 114 posts, in 19 distinct kinds. The most used accounts for 35.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17,892
35.7%
🔥
12,151
24.2%
👍
6,586
13.1%
👀
3,083
6.15%
😁
2,237
4.46%
custom 5287587993916289113
2,074
4.14%
😱
1,068
2.13%
🍾
856
1.71%
⚡
803
1.60%
😢
571
1.14%
🦄
515
1.03%
🎉
477
0.951%
🕊
440
0.878%
🤔
439
0.876%
👎
352
0.702%
☃
256
0.511%
👻
178
0.355%
😡
82
0.164%
🙈
79
0.158%
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 116 of the 116 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 51,289 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 116 most recent posts we hold, published 18 July 2026 to 10 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: 18 of 51 posts held from the last 30 days (35.3%) 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).
Циклон принесёт в Москву сильный дождь вечером в пятницу
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Космическая погода 10 ноября 2026 года — слабо возмущённая
За прошедшие сутки:
🍀 Геомагнитная обстановка — произошли бури умеренного уровня
🌼 Вспышечная активность — повышенная
Прогноз на сутки:
🍀 Геомагнитная обстановка — спокойная
🌼 Вспышечная активность — на текущем уровне
КОММЕНТАРИЙ
Солнечная активность
Наблюдается некоторое снижение темпа формирования и мощности вспышек на Солнце. Активная область, судя по…
Атлантический циклон пройдёт в пятницу через Санкт-Петербург
по данным портала XRAS метео
модель GFS
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Очень красивое видео распространяется в сети со ссылкой на автора — Елену Базиль (г. Ухта). Хотя у нас нет прямого разрешения автора, надеюсь, Елена нас простит. Если нет, пост будет удалён )
На видео — полёт ракеты «Союз-2.1б», запущенной вчера вечером с космодрома Плесецк.
На небе — «медуза» )
А именно — продукты сгорания топлива при работе втор…
Число вспышек на Солнце за сутки вчера повторило рекорд XXI века
Двадцать девять солнечных вспышек официально зарегистрировано на Солнце вчера, 7 ноября, при определении суток по московскому времени. Согласно данным мирового каталога NOAA, это повторение рекорда, начиная как минимум с 2000 года. До этого ровно такое же число вспышек, 29, было зарегистрировано 5 мая 2022 года и 10 декабря 2024 года.
Рубеж в 30 вспыш…
На Земле началась магнитная буря
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На Солнце зарегистрировано более 30 вспышек за неполные 2 суток
На Солнце происходит стремительный рост вспышечной активности. За вчерашние сутки космическими средствами слежения было зарегистрировано 18 вспышек класса C и выше (это обычные и крупные события). Сегодня за первые 12 часов на момент выпуска сообщения к ним добавилось ещё 17 событий. Общее число вспышек за неполные двое суток, таким образом, уже составл…
Погода на выходных. Прогноз на 7 и 8 ноября
по данным сайта XRAS метео
модель GFS
👍 Москва и Санкт-Петербург
В двух крупнейших городах страны типичная погода для первой недели ноября.
🚘 Для Москвы есть хорошие новости. После надоедливых мелких дождей и мокрого снега будут два дня без осадков, хотя и на фоне значительной облачности. Температура большую часть выходных в районе нуля. В воскресенье днём начнётся небо…
Космическая погода 06 ноября 2026 года — возмущённая
За прошедшие сутки:
🍀 Геомагнитная обстановка — спокойная
🌸 Вспышечная активность — повышенная
Прогноз на сутки:
🌸 Геомагнитная обстановка — ожидаются магнитные бури
🌸 Вспышечная активность — повышенная
КОММЕНТАРИЙ
На Солнце начиная со вчерашнего вечера наблюдается рост вспышечной активности. По-настоящему крупных событий пока нет, но в целом формируется явная …
На Солнце произошла самая сильная вспышка с начала октября
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Showing the 12 most recent of 116 posts we hold for @lpixras. 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.
Posts edited after publishing
@lpixras edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
24 October 2026
Most recent edit
24 October 2026
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 48 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Лаборатория солнечной астрономии (XRAS)” (@lpixras), 48,515 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/lpixras.
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.
