Other / unclassifiable — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 45% 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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. 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.
Matching posts — open both and compare (4 of the pairs behind the counts below)
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. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 28 comparable posts for this entry, running 29 July 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.
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).
Across the whole group of 2, the earliest publisher we hold is @Lipsits_again — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 August 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.
29 measurements spanning 30 days, net +1,564. 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 56,670–58,723 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
5 Sept 2026, 06:40
58,486
+201
3 Sept 2026, 09:22
58,285
+341
2 Sept 2026, 01:16
57,944
-14
1 Sept 2026, 03:17
57,958
-10
31 Aug 2026, 00:38
57,968
+20
29 Aug 2026, 21:43
57,948
+19
28 Aug 2026, 21:54
57,929
+11
27 Aug 2026, 18:25
57,918
-5
26 Aug 2026, 20:44
57,923
-18
25 Aug 2026, 21:04
57,941
+19
25 Aug 2026, 00:28
57,922
+135
23 Aug 2026, 15:17
57,787
+201
22 Aug 2026, 02:15
57,586
+99
20 Aug 2026, 17:03
57,487
+80
19 Aug 2026, 13:28
57,407
+93
18 Aug 2026, 11:54
57,314
+68
17 Aug 2026, 13:05
57,246
+96
16 Aug 2026, 05:17
57,150
+47
14 Aug 2026, 13:25
57,103
-1
13 Aug 2026, 06:54
57,104
first reading
Engagement
101 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 29 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
36.0%
avg views ÷ 58,486 subscribers
Avg views / post
21,000
68 posts measured
Reaction rate
2.90%
reactions ÷ views · ER floor
Posts in window
68
of 101 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 18 August 2026
Posts held
101 (29 July 2026 – 18 August 2026)
Views total
1,430,200
Reactions total
41,520
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
19 Aug 2026, 00:02 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
1m 15s
Average length
1m 15s
Measured directly from 1 video 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
59,575 reactions across 93 posts, in 15 distinct kinds. The most used accounts for 31.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
18,609
31.2%
😁
6,169
10.4%
🔥
5,998
10.1%
❤
5,773
9.69%
🤣
5,498
9.23%
💯
5,103
8.57%
🍾
4,622
7.76%
👏
3,089
5.19%
😱
1,825
3.06%
😢
1,714
2.88%
🤮
668
1.12%
💩
247
0.415%
⚡
149
0.25%
🙏
77
0.129%
👎
34
0.057%
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 101 of the 101 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 64,409 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 101 most recent posts we hold, published 29 July 2026 to 18 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
112
across the posts below
Posts paid on
63
of 101 we hold a reading for · 62%
Most on one post
15
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Lipsits_again. 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 101 most recent posts we hold for this entry, published 29 July 2026 to 18 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.
Россия в демографической яме
*******************************
"В 2025 году в России родились всего 1,19 млн детей, подсчитали авторы телеграм-канала «Экономический анализ», который ведут знакомые The Bell российские экономисты.
Для подсчетов авторы использовали единственный оставшийся открытым демографический индикатор — суммарный коэффициент рождаемости, отмечают авторы канала. Цифра достаточно реалистична, считают …
Дефицит федерального бюджета на 14.08.2026 – 7 трлн 849,3 млрд.
******************
Дефицит федбюджета на 13.08.2026 составлял 7 трлн 828 млрд
Таким образом, рост дефицита за сутки – 21 млрд рублей.
Расходы – 29 трлн 977,3 млрд. Доходы – 22 трлн 128 млрд.
https://budget.gov.ru/?regionId=45000000
"Если есть возможность вывести деньги, ты это делаешь"
***********************
"Российская банковская система и экономика начинают испытывать кризис ликвидности. Вкладчики уже сняли со счетов больше денег, чем в 2022 году, когда страну охватила паника из-за развязанной Владимиром Путиным войны. А крупный бизнес, боясь конфискаций, экономической нестабильности из-за политики Кремля и воздушных ударов ВСУ, активно выво…
В Красноярском крае жители Краснокаменска и соседних поселений ждут скорую по восемь десять часов вместо положенных 20–30 минут. На территорию с населением более 10 тысяч человек оставили одну машину скорой помощи. Из за сокращения медслужб дорога до больницы и обратно может занимать до 300 км. Депутат Владимир Вахтель назвал ситуацию результатом «оптимизации» и обратился в прокуратуру и Росздравнадзор.
@ejdailyru
Электронный вариант тоже будет и даже цветной (с моими иллюстрациями во всей красе творчества ИИ) появится. Есть идея напечатать тираж и для России
*********************************
"Если бы еще подписать можно было, эх.."
Это вовсе не проблема! У меня есть решение
**********************
Я давно использую форму индивидуального печатного автографа.
Для такого надо лишь прислать мне на адрес:
[email protected]
свою фотографию, где вы держите мою книгу в руках обложкой вперед и я пришлю вам персональный автограф (pdf), который можно будет вклеить в книгу.
Ура! Мою новую книгу уже можно заказывать отовсюду (кроме РФ и Украины, увы)
******************************************
Заказ можно делать здесь - https://freedomletters.org/books/est-li-budushchee-u-chelovechestva-ili-apokalipsis-epokhi-d-r-ai
27% бензина и 30,6% дизельного топлива производит сейчас РФ от того уровня, который имела в апреле 2026 года — до начала стратегической операции Украины по уничтожению российской нефтепереработки. От общего объема суточного потребления топлива это 30% и 65%, соответственно.
Остановив 2/3 мощностей РФ, Киев за считанные недели может вынести оставшуюся 1/3 и принудить Москву к миру. Это прекрасно понимают "бенефициары…
❗️ До 300 тыс. рублей в месяц предлагают московским уборщикам — но желающих всё равно не хватает, сообщили эксперты
Раньше до 85% вакансий занимали мигранты, однако работать в России для многих стало менее выгодно. Теперь клинингу приходится конкурировать с такси, вахтами и другими сферами, где можно заработать больше.
❗️❗️❗️
Что ж, когда у этих деньги кончатся - придут уже за деньгами обычных граждан. Процесс имеет этапность...
*********************
Но 400 миллиардов не спасут "отца СВО": маловато будет! Нужны триллионы рублей.
Процесс идет по ранее обозначенной мною схеме.
—————————————————
Крупные российские бизнесмены перевели в федеральный бюджет сотни миллиардов рублей после призыва Владимира Путина делать добровольные взносы в казн…
Только заголовки
****************
1) В ожидании блэкаутов из-за ударов БПЛА в России наладили выпуск мобильных электроподстанций
2) «Падение ускоряется». Российские гособлигации посыпались после новой серии ударов по НПЗ
3) Турция не смогла найти покупателей на российские С-400 и отправит их на металлолом
4) ЦБ впервые почти за год поднял курс доллара выше 85 рублей
5) В Подмосковье после удара дронов на выходных…
Интересные данные раскрыл Центробанк по оттоку капитала. Сальдо финансового счёта за первое полугодие — $19,9 млрд. Для сравнения: в первом полугодии 2025 года этот показатель равнялся $9 млрд («Оценка платёжного баланса РФ», стр. 8). Рост более чем в два раза! Сальдо финансового счёта — это упрощённо разница между тем, сколько денег ушло из страны и сколько пришло. В первом полугодии ушло два десятка миллиардов. С у…
👍237👏51❤49🤣26⚡11😁11🔥9
Showing the 12 most recent of 101 posts we hold for @Lipsits_again. 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.
Posts edited after publishing
@Lipsits_again 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
8 August 2026
Most recent edit
8 August 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 31 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.
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“Профессор Липсиц” (@Lipsits_again), 58,486 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/Lipsits_again.
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.