Personal blog — 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 9 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 (6 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. 3 of the 6 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 26 comparable posts for this entry, running 4 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.
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 @pozorlev. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, 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.
33 measurements spanning 41 days, net -6,294. 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 116,182–124,364 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 05:19
117,126
-249
15 Sept 2026, 06:01
117,375
-233
13 Sept 2026, 17:00
117,608
-267
11 Sept 2026, 22:19
117,875
-330
9 Sept 2026, 10:15
118,205
-515
5 Sept 2026, 23:59
118,720
-291
3 Sept 2026, 19:18
119,011
-242
2 Sept 2026, 13:28
119,253
-107
1 Sept 2026, 15:09
119,360
-107
31 Aug 2026, 17:17
119,467
-162
30 Aug 2026, 17:45
119,629
-161
29 Aug 2026, 17:46
119,790
-130
28 Aug 2026, 14:32
119,920
-178
27 Aug 2026, 15:48
120,098
-64
26 Aug 2026, 19:02
120,162
-172
25 Aug 2026, 22:03
120,334
-142
24 Aug 2026, 22:34
120,476
-293
23 Aug 2026, 12:12
120,769
-271
21 Aug 2026, 21:47
121,040
-205
20 Aug 2026, 16:38
121,245
first reading
Engagement
385 posts held, back to 4 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 99 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.37%
avg views ÷ 117,126 subscribers
Avg views / post
1,610
221 posts measured
Reaction rate
2.00%
reactions ÷ views · ER floor
Posts in window
221
of 385 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 23 September 2026
Posts held
385 (4 August 2026 – 23 September 2026)
Views total
355,153
Reactions total
7,109
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 09:21 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
177
Videos
20
Links
860
Lifetime counters from Telegram’s own channel header, read 23 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
12,654 reactions across 384 posts, in 65 distinct kinds. The most used accounts for 13.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,742
13.8%
😁
1,489
11.8%
🤮
1,249
9.87%
🤡
1,134
8.96%
🤯
1,093
8.64%
🤣
930
7.35%
🔥
605
4.78%
👍
586
4.63%
👎
476
3.76%
😢
245
1.94%
✍
238
1.88%
🫡
234
1.85%
💩
229
1.81%
🥰
226
1.79%
🤔
194
1.53%
👏
152
1.20%
😭
117
0.925%
💯
110
0.869%
🤬
103
0.814%
🖕
97
0.767%
45 further kinds
1,405
11.1%
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 385 of the 385 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 12,654 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 385 most recent posts we hold, published 4 August 2026 to 23 September 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
7
across the posts below
Posts paid on
4
of 385 we hold a reading for · 1%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pozor_istorii. 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 385 most recent posts we hold for this entry, published 4 August 2026 to 23 September 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.
Уже два года встречаюсь с женатым мужиком
Он бизнесмен, примерный семьянин, но трахает меня а не свою жену
В постели он бесподобен а ещё обеспечивает меня что мне даже не обязательно работать
Но вот я должна соблюдать много правил и всё должно быть как он захочет
В принципе меня все устраивает, но всё равно что-то не так. Угрызения совести что ли...
Отсосала сразу двоим
Отсосала двоим челикам на выпускном...
Чувствовала себя шлюхой, но ни о чем не жалею. Когда еще будет такой вариант, а так хоть есть о чем вспомнить. И да, на тот момент у меня был парень) Потом расстались, но не из-за этого.
Ну а чего она ожидала?
Рассталась со своим молодым человеком из-за того, что продавала интимки (несколько раз ссорились из-за этого), по итогу не смог забыть все эти ситуации и мы разошлись (
были вместе почти год
у меня все
Парень развел на анал
Когда я была девочкой и встречалась с парнем, он сказал, что для того, чтобы лишиться безболезненно, надо сперва заняться анальным сексом. И чем больше, тем безболезненнее будет. В общем, развел он меня на анал. И мы с ним занимались им где-то месяца три, пока не расстались. В итоге лишилась с другим парнем. Конечно, боль была сильная. Парням больше не верю.
Размер не главное
Д22. Недавно переспала с парнем, в которого была влюблена еще давно. Раньше у меня была только жесткая ебля с большими членами, а у этого парня размер маленький. Но это был даже не секс, а именно занятие любовью. Не передать, как же это было классно, трахать человека, которого любишь всем сердцем.
Возбуждаюсь от этих мыслей
Есть много секс-фантазий, но одну я прямо стыжусь. Но ничего не могу с собой поделать, возбуждает.
Представляю, что я отдаюсь мужчине за деньги как проститутка. Никакой романтики, никаких цветов, нежностей и прелюдий. Он просто использует меня как куклу для удовлетворения своей похоти. Короткие фразы-приказы как мне лечь, встать, нагнуться, раздвинуть ноги, открыть рот и пр. Он кончает куд…
Я его лишила девственности 😁
В 17 лет я встречалась с парнем. Наши свидания проходили на территории детского сада. Сторожа там не было, и молодежь часто зависала на верандах. Наш первый секс там и случился, на широкой скамейке веранды. Оба были девственники, опыта ноль. Он положил меня на спину, стянул штаны и трусы до колен и улегся сверху. Штаны не давали мне раздвинуть ноги, и, естественно, войти в меня он не мог…
Бросать или простить??
Встречаемся с девушкой уже больше года. Недавно узнал, что она 4 месяца тайно переписывалась с бывшим. Удаляла сообщения, писала ему, что я дебил и ревнивый мудак.
На втором месяце наших отношений она ему писала "мы встречаемся?". Сама чаще всего начинала общение: "как дела", "доброе утро", "спокойной ночи", "давай погуляем". Говорит, что "жалела" его и не могла перестать общаться.
Теперь прос…
Умница какая, девушка
П23. А я пёр короче деваху одну, не так что отношения, а просто встретились, потусили - потрахались. Ну и спустя пару месяцев говорю ей, мол отсоси, а она говорит - нет, я сосу только своему парню. ВОТ И ДУМАЙТЕ, как говорится🤣
"Встречаюсь" с девушкой уже месяца два
Сосёт, дрочит мне, дает, но только в анал.
В шмоньку не дает, говорит только после свадьбы, хотя сама не девственница ,аргументрует это тем, что таких как я уже было человек 10, которым лишь бы потрахаться
Сильный позор или нет?
Позор - это когда трахнул подругу матери за пятую плойку (несколько раз) хотя есть девушка. А плойка осталась у нее от бывшего мужа)
Как-то там историчка гадала по ладони
Мне нагадала, что выйду замуж за нормального мужчину, буду жить в достатке, двое детей. Подруге нагадала, что она уедет жить в загранку с иностранцем.
А еще одной телке нагадала, что она помрет от СПИДа.
🤯16❤4😁4
Showing the 12 most recent of 385 posts we hold for @pozor_istorii. 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.
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.
“ПОЗОР” (@pozor_istorii), 117,126 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/pozor_istorii.
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.