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Channel

BOOK™

@BooK_Readiing

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

35,150subscribers

-749 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001053276105
TypeChannel
Username@BooK_Readiing
Description1395/03/14 کتاب ؛ باید تبری باشد بر دریای یخ بسته درون ما 📚 . . . شعر 👈 @Iove_Poems . سخن‌ بزرگان 👈 @ZhawChannel . تیکه‌کتاب و عکس‌نوشته 👈 @Official_Hich .
Created3 June 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live24 September 2026
Measurements held36
Confirmed unchanged1 time, most recently 24 September 2026
On Telegramt.me/BooK_Readiing

Topic

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 89% 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 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.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ProxyMel/2046836 Aug 2026, 11:38 UTC@BooK_Readiing/183148 · this entry7 Aug 2026, 11:06 UTC1.0023 hours
@BooK_Readiing/183211 · this entry8 Aug 2026, 00:00 UTC@ProxyMel/2048598 Aug 2026, 00:00 UTC1.00under a minute
@BooK_Readiing/183213 · this entry8 Aug 2026, 00:30 UTC@ProxyMel/2048618 Aug 2026, 00:30 UTC1.00under a minute
@BooK_Readiing/183148 · this entry7 Aug 2026, 11:06 UTC@StooryText/1199407 Aug 2026, 14:51 UTC1.003.8 hours
@StooryText/1199838 Aug 2026, 00:00 UTC@BooK_Readiing/183211 · this entry8 Aug 2026, 00:00 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ProxyMel6 (6/6 hand-verifiable sample passed)1.00under a minute@ProxyMel (4–2)
@StooryText5 (5/5 hand-verifiable sample passed)1.0072 secondsthis entry (5–0)

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 29 comparable posts for this entry, running 30 July 2026 to 8 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 3, the earliest publisher we hold is @StooryText. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · 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 2 other registered channels, 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.

Growth

35,15035,89935,524.55 August 2026 — 35,899 subscribers6 August 2026 — 35,899 subscribers6 August 2026 — 35,891 subscribers7 August 2026 — 35,875 subscribers8 August 2026 — 35,850 subscribers9 August 2026 — 35,838 subscribers10 August 2026 — 35,823 subscribers11 August 2026 — 35,807 subscribers12 August 2026 — 35,786 subscribers13 August 2026 — 35,774 subscribers14 August 2026 — 35,748 subscribers16 August 2026 — 35,733 subscribers17 August 2026 — 35,714 subscribers18 August 2026 — 35,690 subscribers19 August 2026 — 35,674 subscribers20 August 2026 — 35,663 subscribers22 August 2026 — 35,646 subscribers23 August 2026 — 35,610 subscribers25 August 2026 — 35,580 subscribers26 August 2026 — 35,560 subscribers27 August 2026 — 35,548 subscribers28 August 2026 — 35,536 subscribers29 August 2026 — 35,522 subscribers30 August 2026 — 35,503 subscribers31 August 2026 — 35,495 subscribers1 September 2026 — 35,484 subscribers2 September 2026 — 35,464 subscribers3 September 2026 — 35,456 subscribers4 September 2026 — 35,431 subscribers7 September 2026 — 35,389 subscribers10 September 2026 — 35,352 subscribers13 September 2026 — 35,339 subscribers14 September 2026 — 35,313 subscribers16 September 2026 — 35,285 subscribers18 September 2026 — 35,248 subscribers24 September 2026 — 35,150 subscribers5 August 202624 September 2026
36 measurements spanning 50 days, net -749. 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 35,038–36,011 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
24 Sept 2026, 20:1835,150-98
18 Sept 2026, 16:3935,248-37
16 Sept 2026, 08:5835,285-28
14 Sept 2026, 16:1635,313-26
13 Sept 2026, 01:0135,339-13
10 Sept 2026, 23:3535,352-37
7 Sept 2026, 21:5735,389-42
4 Sept 2026, 17:3835,431-25
3 Sept 2026, 06:2635,456-8
2 Sept 2026, 02:1235,464-20
1 Sept 2026, 05:1335,484-11
31 Aug 2026, 04:5835,495-8
30 Aug 2026, 06:3735,503-19
29 Aug 2026, 06:1835,522-14
28 Aug 2026, 04:5935,536-12
27 Aug 2026, 06:3235,548-12
26 Aug 2026, 05:4235,560-20
25 Aug 2026, 03:1435,580-30
23 Aug 2026, 20:3735,610-36
22 Aug 2026, 03:5435,646first reading

Engagement

562 posts held, back to 27 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 90 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.674%
avg views ÷ 35,150 subscribers
Avg views / post
237
294 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
294
of 562 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 27 September 2026
Posts held562 (27 July 2026 – 27 September 2026)
Views total69,652
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 05:51 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
≈10,100
Videos
≈1,610
Links
≈2,500

Lifetime counters from Telegram’s own channel header, read 27 September 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
28m 59s
Average length
47s

Measured directly from 37 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.

Recent posts

27 Sept 2026, 05:45 UTC6 viewsread 27 September 2026
Forwarded from @DAlfaSupportPhoto

🌈دخترم ۲۳ سالمه . درآمدم ماهی ۵۰۰ میلیونه .شاید فکر کنید شوگر ددی دارم و ازون پول میگیرم ولی به عرضتون برسونم ازین کانال یاد گرفتم درامد دلاری داشته باشم عین آب خوردن 🙂‍↔️👇🏻 @Daramad

26 Sept 2026, 20:13 UTC201 viewsread 27 September 2026
Photo

✨ قدرتمندترین مهره مار (اصل و تضمینی) ✨ اگر به دنبال تغییر اساسی در زندگی، روابط و کسب‌وکار خود هستید، این مهره مار بی‌نظیر بهترین انتخاب برای شماست: 💰 افزایش چشمگیر رزق، روزی و برکت در مال ❤️ جذب فوق‌العاده جنس مخالف و محبوبیت خاص در جمع 🧿 باطل‌السحر قوی و دفع هرگونه چشم‌زخم و انرژی منفی 🍀 شانسِ برد بالا در تمامی امور و معاملات 🔙 بازگشت سریع معشوق و تسخیر قلب همسر 🔒 زبانبند بسیار قوی و مؤثر در برابر مخالفان …

26 Sept 2026, 17:46 UTC1 viewsread 26 September 2026
Forwarded from @DAlfaSupport

⚠️آیا ماساژ سینه باعث بزرگتر شدن آن میشود ⁉️🍑 مشاهده 🥹🙈

26 Sept 2026, 17:38 UTC10 viewsread 26 September 2026

اگه از پوزیشن های تکراری تو سکس خسته شدی بیا پوزیشن جدید یاد بگیر 💦👇 مشاهده پوزیشن

26 Sept 2026, 17:30 UTC17 viewsread 26 September 2026

کلی پوزیشن های جنسی رو ب طور تصویری و عملی براتون آموزش میده 😍👇 @sexology

26 Sept 2026, 17:15 UTC31 viewsread 26 September 2026

آموزش تصویری پاره کردن پرده بکارت 🔞🔞

26 Sept 2026, 16:55 UTC55 viewsread 26 September 2026
Photo

پوزیشن جنسی مورد علاقه نامزدم !!! تو سکسامون کلی پوزیشن بلده و میگه اینطوری باشه اونطوری باشه، پرسیدم لعنتی تو که دوست پسر نداشتی قبل من چطوری بلدی بهم گفت از کانال سکسولوژی یاد میگیرم اینم کانالش: @Sexology

25 Sept 2026, 14:34 UTC525 viewsread 27 September 2026
Forwarded from @KingofdarkesmVideo

⭕️⭕️ ‌ ‌ ‌ ‌👍 👏 ‌ ‌ ‌ ‌ ⭕️⭕️ ‌‌ 🤨 تـو هـم میتـونـی پـولـدار بشـی! ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌‌ ‌ ‌ ‌ ‌ چـرا کـه نــه؟! ❓ شاید دیدن این ویدیو زندگیت رو تغییر بده! پس روی این لینک ضربه بزن 📱 کـانـال تـلـگـرام 👇👇👇 🆔 @Kingofdarkesm 🚨💝 مـشـاوره و ثـبـت سـفـارش ✅ 👩‍💻@BlackpnatherXm2 🚨 👩 از این پیام، ساده رد نشو !! ⬅️ الان وقتــشــه، نوبــت توعـــه ! 🔹 ⚠ 🔥 🔥 🔥 ⚠ 🔹

Showing the 12 most recent of 562 posts we hold for @BooK_Readiing. 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.

Mentions

Named by 3 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.

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.

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.

‌[ Embrace ]
@Embrace · 49,151
Telegram ranks this channel #14 of 85 here — alongside 84 others — read 25 August 2026
Freely
@Freely · 50,573
Telegram ranks this channel #22 of 87 here — alongside 86 others — read 25 August 2026
Amir!
@AmirHossein_injast · 89,175
Telegram ranks this channel #75 of 87 here — alongside 86 others — read 17 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. 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 24 September 2026 — this entry's latest reading, not the date you are reading this.

“BOOK™” (@BooK_Readiing), 35,150 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/BooK_Readiing.

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.