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Channel

Иначе не скажешь | Саморазвитие

@books_things

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

74,067subscribers

-2,304 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002241367672
TypeChannel
Username@books_things
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/books_things

Topic

Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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 4 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@psychopensia/348512 Aug 2026, 16:25 UTC@books_things/3673 · this entry12 Aug 2026, 16:25 UTC1.00under a minute
@psychopensia/351518 Aug 2026, 09:48 UTC@books_things/3712 · this entry18 Aug 2026, 09:48 UTC1.00under a minute
@psychopensia/352119 Aug 2026, 16:18 UTC@books_things/3726 · this entry19 Aug 2026, 16:18 UTC1.00under a minute
@books_things/3894 · this entry21 Sept 2026, 12:11 UTC@psychopensia/369021 Sept 2026, 12:11 UTC1.00under a minute
@books_things/3899 · this entry22 Sept 2026, 08:11 UTC@psychopensia/370223 Sept 2026, 16:12 UTC1.0032 hours
@books_things/3896 · this entry21 Sept 2026, 16:11 UTC@psychopensia/370524 Sept 2026, 08:11 UTC1.003 days
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
ChannelMatching postsText overlapTypical gapPublished first
@psychopensia9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (8–1)
@tim_philosophy8 (8/8 hand-verifiable sample passed)1.00under a minute@tim_philosophy (7–1)
@happiness_universe6 (6/6 hand-verifiable sample passed)1.00under a minute@happiness_universe (4–2)
@Lingvaa6 (6/6 hand-verifiable sample passed)1.00under a minute@Lingvaa (4–2)

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. 16 of the 16 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 308 comparable posts for this entry, running 2 August 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 keys clone_copy · 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

74,06776,37175,2197 August 202611 November 2026
65 measurements spanning 96 days, net -2,304. 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 73,721–76,717 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 18:5874,067-39
10 Nov 2026, 00:4974,106-27
8 Nov 2026, 16:0074,133-32
7 Nov 2026, 12:4974,165-46
6 Nov 2026, 09:3174,211-25
5 Nov 2026, 08:1674,236-20
4 Nov 2026, 10:3974,256-22
3 Nov 2026, 14:0874,278-18
2 Nov 2026, 15:0574,296-23
1 Nov 2026, 14:3974,319-25
31 Oct 2026, 12:3774,344-22
30 Oct 2026, 09:1774,366-13
29 Oct 2026, 06:1774,379-20
28 Oct 2026, 03:3774,399-18
27 Oct 2026, 00:1174,417-29
26 Oct 2026, 02:4174,446-28
25 Oct 2026, 02:5774,474-38
24 Oct 2026, 03:5774,512-27
23 Oct 2026, 03:1074,539-33
22 Oct 2026, 02:4974,572first reading

Engagement

352 posts held, back to 2 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 256 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.36%
avg views ÷ 74,067 subscribers
Avg views / post
3,230
104 posts measured
Reaction rate
2.72%
reactions ÷ views · ER floor
Posts in window
104
of 352 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
WindowRolling 30 days · latest post in window 11 November 2026
Posts held352 (2 August 2026 – 11 November 2026)
Views total335,680
Reactions total9,120
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 16:43 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 46s
Average length
21s

Measured directly from 5 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

34,811 reactions across 352 posts, in 12 distinct kinds. The most used accounts for 32.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤11,34832.6%
👍8,80125.3%
🔥8,69625.0%
😁2,7637.94%
👏1,5464.44%
🤔7502.15%
😢5621.61%
🥰1400.402%
🤯1170.336%
😱760.218%
🎉110.032%
🤩10.003%

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 352 of the 352 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 34,811 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 352 most recent posts we hold, published 2 August 2026 to 11 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: 3 of 104 posts held from the last 30 days (2.88%) 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).

11 Nov 2026, 09:11 UTC≈1,240 views28 reactionsread 11 November 2026
Photo

Существует одно главное различие между человеком, который способен стать партнёром для долгих отношений и тем, кто способен быть партнёром только на короткий срок. И эта отличительная черта – способность учиться. Существует испанское высказывание о том, что “тот, кто не способен обучаться – самый нетерпимый”. Тот, кто не способен обучаться новому взгляду на вещи, кто не способен видеть привычное в новом свете, кто н…

❤14🔥8👏4👍2

11 Nov 2026, 08:11 UTC≈1,310 views4 reactionsread 11 November 2026
Photo

Что скрывается за цифрами твоего телефона Если там есть эти сочетания - вы годами можете ходить по одному и тому же кругу. Деньги пришли - сразу исчезли. Отношения начались - снова тот же финал. Стараетесь больше - результат стоит на месте. Совпадение? Или цифры уже давно дают вам подсказку? Телефон всегда рядом — звонки, покупки, документы, знакомства, общение… Но вы когда-нибудь задумывались, что именно скрыто в …

❤2👍1😁1

11 Nov 2026, 05:11 UTC≈1,590 views48 reactionsread 11 November 2026
Photo

Нынче я очень не в духе. Все раздражает. Держусь. Из дневника Л.Н. Толстого, 1909 год Иначе не скажешь | Мы в МАХ

👍33❤6😁5😢3🔥1

10 Nov 2026, 17:14 UTC≈2,490 views125 reactionsread 11 November 2026
Photo

Алкоголь убивает нервные клетки. Остаются только спокойные. Адриано Челентано Иначе не скажешь | Мы в МАХ

😁59👍52🔥14

10 Nov 2026, 16:11 UTC≈2,360 views5 reactionsread 11 November 2026
Video

Сидела в кафе, услышала разговор двух сотрудниц Золотого Яблока... 🤦🏻‍♀️ Они обсуждали, как дурят народ на распродажах. Типа клеят желтый ценник, а цена всё равно выше закупа в 5 раз. И одна другой говорит: «Я себе вообще всё в Квине беру, нафиг мне наша скидка сотрудника, там всё равно дороже». Я не поленилась, 2 часа копалась и отрыла этот Квин. Оказалось, так магазин называется — PARFUM QUEEN Ребята, это разно…

❤3👍2

10 Nov 2026, 13:27 UTC≈2,380 views102 reactionsread 11 November 2026
Photo

Приходящие... уходящие..... Люди в жизни, как поезда... Лицемерные, настоящие, На мгновение... навсегда... Кто-то выстрадан...кто-то вымолен... Кто-то послан был, как урок... Кто-то в памяти просто именем... А кого-то послал сам Бог... Поначалу все просто встречные... Только кто-то потом врастёт В твою душу и станет вечностью... Ну, а кто-то, как дым уйдёт... Приходящие... уходящие... Каждый в сердце оставит след. Но…

❤53🔥26👍17👏6

10 Nov 2026, 06:28 UTC≈2,600 views92 reactionsread 11 November 2026
Photo

Женщины созданы для того, чтобы их любить, а не для того, чтобы их понимать. Оскар Уайльд Иначе не скажешь | Мы в МАХ

🔥61❤23😁8

9 Nov 2026, 17:11 UTC≈2,680 views74 reactionsread 11 November 2026
Photo

Мы исходим из положения, что человек хорош, пока не доказано, что он плох. Все это — чепуха. Напротив, всех считайте за подлецов сначала, и допускайте, ЧТО именно можно доверить подлецу. Варлам Шаламов Иначе не скажешь | Мы в МАХ

👍36🤔21👏10🤯4❤3

9 Nov 2026, 10:23 UTC≈2,790 views115 reactionsread 11 November 2026
Photo

Моя мать всегда кладет розмарин в ризотто, а мой отец вот уже сорок лет, прежде чем начать есть, вынимает розмарин из ризотто. С точностью швейцарских часов он извлекает из тарелки листик за листиком весь розмарин... и ризотто в порядке. Сорок лет он просит ее не класть розмарин в ризотто. Сорок лет она не обращает внимания на его просьбы. Она говорит, без розмарина ризотто не получится. Она кладет, а он вынимает. И …

❤48👏45😁16🤯4🤔2

9 Nov 2026, 09:23 UTC≈2,560 views5 reactionsread 11 November 2026
Photo

Как бросить курить за 4 дня? Елена Блаватская – философ и оккультист 19 века. Доказала, что в голове можно "отключать" ненужные нейроны, например – тягу к курение, комплексы, тревожность и фобии Эффект достигается текстами "программирования сознания", которые собрал канал "В поисках Дзена" Просто заходите – читаете 2 минуты в день – мысли становятся ясными, уходят вредные привычки, нормализуется гормон стресса, а …

👍2😁2❤1

9 Nov 2026, 05:11 UTC≈2,750 views119 reactionsread 11 November 2026
Photo

Ночью люди говорят то, что никогда не скажут днём. Вы заметили, что ночью голоса у людей, особенно у женщин, меняются? Утром, после ночных разговоров, люди стыдятся смотреть друг другу в глаза. Люди вообще стыдятся хороших вещей, например, человечности, любви, своих слёз, тоски, всего, что не носит серого цвета. Константин Паустовский Иначе не скажешь | Мы в МАХ

🔥66❤26👏15👍12

8 Nov 2026, 18:11 UTC≈2,860 views83 reactionsread 11 November 2026
Photo

Ищите людей, разговор с которыми стоил бы хорошей книги, и книг, чтение которых стоило бы разговора с философом. Пьер Буаст Иначе не скажешь | Мы в МАХ

👏44🔥26👍13

Showing the 12 most recent of 352 posts we hold for @books_things. 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

@books_things edited 2 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
9 August 2026
Most recent edit
9 August 2026

Posts recorded as deleted after publishing

We recorded 115 posts on @books_things 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
7 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
36

Forward network

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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

Мудрые строки
@mudr_str · 84,251
2 posts
Аналитик Разума | Психология | Саморазвитие | Отношения | Блог
@psycho_analitik · 117,187
2 posts
Азат валеев
@azatmale02 · 6,077
1 post
Москва для детей • Афиша
@detstvo_msk · 403,695
1 post
Переходник Элина Матвеева
@elinamatveeva · 194
1 post
Этикет в деталях | Переходник
@etiquette_details · 356
1 post
Психоанализ Фрейда - Лакана
@freud_zone · 48
1 post
Повышаем Частоту
@increase_frequency · 3,652
1 post
Основы жизни
@life_osnov · 100,671
1 post
manip_psychology
@manip_psychology · 50
1 post
МАРИЯ ЛОГВИНОВА | Радикальная женственность
@Marialogvinovaofficial · 31,172
1 post
moskovsky!
@msky_media · 1,210,347
1 post
Наука Любви
@nauka_lubvi · 12
1 post
Не перепутай!
@nepereputai · 86,846
1 post
Открытые письма | Литература
@open_letters · 40,857
1 post
Влад Пурвиньш
@other_digital_bot · 22,692
1 post
Кованые ножи Петровича
@petrovich_knives · 19,089
1 post
Повестка правды
@povestka_pravdy · 330
1 post
Психолог Жора
@psihzh · 212,397
1 post
Психология отношений
@Psychologs · 210,571
1 post
Владыкина — системная психология
@rasstanovkiprojekt · 11,048
1 post
РетроГрадЪ
@retro_gradd · 92,325
1 post
Совершенный организм
@sov_org · 86,956
1 post

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.

“Иначе не скажешь | Саморазвитие” (@books_things), 74,067 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/books_things.

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.