Politics & activism — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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 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.
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 137 comparable posts for this entry, running 31 July 2026 to 12 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_mutual, last confirmed 13 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
65 measurements spanning 98 days, net -488. 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 49,820–50,563 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 15:05
49,989
-21
10 Nov 2026, 13:40
50,010
-37
9 Nov 2026, 00:17
50,047
-34
7 Nov 2026, 17:21
50,081
-21
5 Nov 2026, 17:10
50,102
+7
4 Nov 2026, 15:24
50,095
+143
3 Nov 2026, 11:56
49,952
-15
2 Nov 2026, 08:46
49,967
-4
1 Nov 2026, 06:46
49,971
-36
31 Oct 2026, 08:35
50,007
-10
30 Oct 2026, 05:26
50,017
-11
29 Oct 2026, 08:31
50,028
-13
28 Oct 2026, 09:10
50,041
-8
27 Oct 2026, 07:21
50,049
+27
26 Oct 2026, 08:16
50,022
+116
25 Oct 2026, 06:17
49,906
-14
24 Oct 2026, 07:46
49,920
-13
23 Oct 2026, 08:04
49,933
-19
22 Oct 2026, 05:57
49,952
-11
20 Oct 2026, 22:05
49,963
first reading
Engagement
190 posts held, back to 31 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 212 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
26.0%
avg views ÷ 49,989 subscribers
Avg views / post
13,000
54 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
54
of 190 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 14 November 2026
Posts held
190 (31 July 2026 – 14 November 2026)
Views total
701,170
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 21:00 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
≈6,760
Videos
≈2,470
Links
≈2,090
Lifetime counters from Telegram’s own channel header, read 14 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
1h 06m
Average length
1m 03s
Measured directly from 63 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.
Advertising
Ad load
0.526%
1 of 190 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
13,100
over 1 measured post
Median views · rest
12,100
over 187 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
CQH36pWzJqUqfuc6U87xZP45kgRxKco5ATZvovzanfKkKZ
1
30 August 2026
30 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 190 most recent posts we hold, published 31 July 2026 to 14 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 23 of 54 posts held from the last 30 days (42.6%) 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).
Путин помиловал блогера Лерчек. Ранее к нему с просьбой позаботиться о судьбе многодетной инфоцыганки, больной раком, обращалась Виктория Боня.
Может, нам и телеграм помилуют?
Что на самом деле происходит на Китай-городе: как мы докатились до такой жизни и что делать теперь?
На Хэллоуин я, нарядившись в неформальский прикид, провела в злополучном районе всю ночь. Обошла самые хайповые точки, чтобы составить о происходящем собственное независимое мнение.
Насчет контингента: разноцветный, местами шумный, но в основном безобидный и позитивно настроенный. Мусорят — да. Агрессии, драк и откро…
А чо за бизнесы-то? Расскажи уже, мы послушаем внимательно. Вот это реально интересно.
Может быть, сеть шиномонтажек? Или байеров с китайскими сумками? Нет, ну не владеет же человек ботофермой, отвечающей за буллинг России в соц.сетях. Не может же такого быть!
Москва наносит ответный удар: приехавшая на место происшествия в Кронштадтском музее пояснительная бригада говорит, что люди требуют пропускать их в музеи Петербурга по «карте москвича» не просто так. Дело в том, что пластиковый прямоугольник заменяет пенсионное удостоверение.
Аналогичные документы, выданные в Питере, также работают только в Петербурге и области в отношении областных льгот; Однако в московские музеи…
Если бы Собчак вдруг «ловила» Синего и Сервиза «на живца» — там уже все сто тысяч лет назад были по пойманы.
Собчак просто обладает одновременно: атомным реактором в заднице; так называемым «звериным чутьем» на жареное; а также склонностью впадать периодически в фатальную тьму и утопать в ней. Скорее всего, поэтому повелась на Синяка. И ей как-то выкручиваться — а выкрутится ли?
Будь она «спецагентом под крышей» не…
Мне тоже сегодняшняя атака Собчак на Андрея и отсос члена Синяка напомнили именно начало войны, когда украинские боты творили черт знает что! Это была адская Инфовойна! На грани фола.
Собчак почему-то сегодня копирует эту схему.
Ксения, что происходит? Какого блять ХУЯ?! И кто ответит за базар?!
Собчак сама вечно говорит о том, как ужасна травля… а тут такая вот хуйня Собчачка!
Чёрный юмор, юморок, может где-то за …
Showing the 12 most recent of 190 posts we hold for @im_not_aprincess. 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
@im_not_aprincess edited 40 posts 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
20 August 2026
Most recent edit
14 November 2026
Posts recorded as deleted after publishing
We recorded 11 posts on @im_not_aprincess as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
10 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
2
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Итак, в Москву прибыл директор ЦРУ Джон Рэтклифф. Чем кормить?
Чебуреком!21%
Только пельмени16%
Борщ и что там еще19%
Не позорьтесь и подайте сразу краба, жирного гребешка, икру всех видов, устрицы12%
Главное без каравая встречайте это давно не модно, еду пусть заказывает сам, не маленький37%
The shares total 105%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Ну уж нет, слава богу, что развалился, не был там счастлив/никогда бы не хотел там жить4%
Нет, то была не жизнеспособная система, ее надо было менять. Но страну-то развалили зачем?42%
Да, я был там счастлив/хотел бы там жить, считаю советскую систему лучшей из возможного11%
Да, хоть и было множество бесячих недостатков — но все лучше, чем сейчас30%
Я кот16%
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 190 most recent posts we hold, published 31 July 2026 to 14 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 7 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
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.
Diana Live @dianalivelive · 43,264 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 28 August 2026
ТОВАРИЩ СОРЯН @TovarishchSoryan · 138,459 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 13 August 2026
Wine O’Clock @time_forwine · 48,038 Telegram ranks this channel #19 of 86 here — alongside 85 others — read 26 August 2026
Медиа хабалки @MediaHabalki · 48,699 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 25 August 2026
БЕЗ «УМНЫЕ» ПРОРОЧЕСТВА @crazyprophecies · 106,785 Telegram ranks this channel #28 of 91 here — alongside 90 others — read 15 August 2026
Алёна, Блин! @neopra_blin · 151,361 Telegram ranks this channel #31 of 90 here — alongside 89 others — read 12 August 2026
Кристина Бошчех @bo_kris · 62,955 Telegram ranks this channel #33 of 79 here — alongside 78 others — read 24 August 2026
Доктор Садовская @doctor_sadovskaya · 155,058 Telegram ranks this channel #34 of 84 here — alongside 83 others — read 12 August 2026
Жертвы красоты @zhertvykrasoty · 23,206 Telegram ranks this channel #35 of 87 here — alongside 86 others — read 18 September 2026
Пикник на обочине @picnicelena · 27,684 Telegram ranks this channel #36 of 91 here — alongside 90 others — read 10 September 2026
Президент Гордон @prezidentgordon · 159,970 Telegram ranks this channel #37 of 91 here — alongside 90 others — read 12 August 2026
Самые СЛИВки @samye_slyvky · 52,050 Telegram ranks this channel #38 of 90 here — alongside 89 others — read 24 August 2026
Психолог Прокопова Ольга @olga_prokopova_s · 120,997 Telegram ranks this channel #38 of 88 here — alongside 87 others — read 13 August 2026
Светский хроник @svetskyhronik · 48,018 Telegram ranks this channel #39 of 91 here — alongside 90 others — read 26 August 2026
Цыпкин/Tsypkin @tsypkintherealone · 101,877 Telegram ranks this channel #39 of 91 here — alongside 90 others — read 15 August 2026
Maisto @igormaisto · 102,822 Telegram ranks this channel #39 of 86 here — alongside 85 others — read 15 August 2026
Жёлтая утка @utkapribaudka · 35,864 Telegram ranks this channel #42 of 76 here — alongside 75 others — read 5 September 2026
ХАЙЛАЙТЕР @goshakartsevcalling · 39,779 Telegram ranks this channel #43 of 86 here — alongside 85 others — read 30 August 2026
Вероника Степанова @veronikastepanova20011 · 485,015 Telegram ranks this channel #43 of 84 here — alongside 83 others — read 10 August 2026
Вера в курсе @verochkavkurse · 38,212 Telegram ranks this channel #44 of 86 here — alongside 85 others — read 30 August 2026
Пролетарии всех стран @proletariyi · 25,539 Telegram ranks this channel #45 of 85 here — alongside 84 others — read 13 September 2026
Доктор Павлова, эндокринолог @doctorpavlova · 84,274 Telegram ranks this channel #45 of 87 here — alongside 86 others — read 18 August 2026
ЮЛИЯ МЕНЬШОВА @JuliaMenshovaJulia · 355,078 Telegram ranks this channel #45 of 91 here — alongside 90 others — read 10 August 2026
Настоящая Франция @mme_perrier · 27,115 Telegram ranks this channel #47 of 97 here — alongside 96 others — read 11 September 2026
This channel appears in 71 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“НЕПРИНЦЕССА” (@im_not_aprincess), 49,989 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/im_not_aprincess.
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.
