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Channel

Free BOOK | کتاب رایگان

@FreeBOOK_Com

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

48,566subscribers

-644 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001896439372
TypeChannel
Username@FreeBOOK_Com
DescriptionFree BOOK | کتاب رایگان کاش خواندن کتاب هم حرام اعلام میشد، تا ملت حداقل در خفا به کتاب خوانی روی می آوردند ...!
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 October 2026
Measurements held36
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/FreeBOOK_Com

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 46% 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)
Posted firstThenOverlapGap
@PDFsCom/5140627 Jul 2026, 08:38 UTC@FreeBOOK_Com/27024 · this entry27 Jul 2026, 08:47 UTC0.9910 minutes
@PDFsCom/5142028 Jul 2026, 16:49 UTC@FreeBOOK_Com/27039 · this entry28 Jul 2026, 16:58 UTC0.988 minutes
@PDFsCom/5144330 Jul 2026, 07:11 UTC@FreeBOOK_Com/27062 · this entry30 Jul 2026, 07:16 UTC0.975 minutes
@PDFsCom/5142729 Jul 2026, 07:05 UTC@FreeBOOK_Com/27046 · this entry29 Jul 2026, 07:14 UTC0.979 minutes
@PDFsCom/5142829 Jul 2026, 13:09 UTC@FreeBOOK_Com/27047 · this entry29 Jul 2026, 13:09 UTC0.96under a minute
@PDFsCom/515056 Aug 2026, 06:55 UTC@FreeBOOK_Com/27124 · this entry6 Aug 2026, 06:56 UTC0.9572 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@PDFsCom11 (8/8 hand-verifiable sample passed)0.967 minutes@PDFsCom (11–0)

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. 2 of the 11 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 20 comparable posts for this entry, running 27 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 @PDFsCom. 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.

Growth

48,56649,21048,8886 August 2026 — 49,210 subscribers6 August 2026 — 49,210 subscribers7 August 2026 — 49,201 subscribers8 August 2026 — 49,177 subscribers9 August 2026 — 49,164 subscribers10 August 2026 — 49,153 subscribers11 August 2026 — 49,138 subscribers12 August 2026 — 49,125 subscribers13 August 2026 — 49,113 subscribers14 August 2026 — 49,097 subscribers16 August 2026 — 49,079 subscribers17 August 2026 — 49,061 subscribers18 August 2026 — 49,055 subscribers19 August 2026 — 49,044 subscribers20 August 2026 — 49,035 subscribers22 August 2026 — 49,013 subscribers23 August 2026 — 48,994 subscribers25 August 2026 — 48,982 subscribers26 August 2026 — 48,976 subscribers27 August 2026 — 48,963 subscribers28 August 2026 — 48,957 subscribers29 August 2026 — 48,936 subscribers30 August 2026 — 48,927 subscribers31 August 2026 — 48,922 subscribers1 September 2026 — 48,920 subscribers2 September 2026 — 48,909 subscribers3 September 2026 — 48,895 subscribers5 September 2026 — 48,876 subscribers9 September 2026 — 48,844 subscribers11 September 2026 — 48,809 subscribers13 September 2026 — 48,799 subscribers14 September 2026 — 48,791 subscribers16 September 2026 — 48,784 subscribers19 September 2026 — 48,749 subscribers25 September 2026 — 48,664 subscribers4 October 2026 — 48,566 subscribers6 August 20264 October 2026
36 measurements spanning 59 days, net -644. 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 48,469–49,307 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
4 Oct 2026, 06:5848,566-98
25 Sept 2026, 13:1648,664-85
19 Sept 2026, 01:5848,749-35
16 Sept 2026, 16:0048,784-7
14 Sept 2026, 22:1848,791-8
13 Sept 2026, 10:5848,799-10
11 Sept 2026, 17:1748,809-35
9 Sept 2026, 05:3948,844-32
5 Sept 2026, 23:5548,876-19
3 Sept 2026, 17:4048,895-14
2 Sept 2026, 09:5948,909-11
1 Sept 2026, 09:5348,920-2
31 Aug 2026, 12:0448,922-5
30 Aug 2026, 11:5348,927-9
29 Aug 2026, 08:1648,936-21
28 Aug 2026, 05:5448,957-6
27 Aug 2026, 05:0648,963-13
26 Aug 2026, 04:3448,976-6
25 Aug 2026, 04:1848,982-12
23 Aug 2026, 22:2548,994first reading

Engagement

91 posts held, back to 26 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 125 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.84%
avg views ÷ 48,566 subscribers
Avg views / post
1,380
40 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
40
of 91 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 6 October 2026
Posts held91 (26 July 2026 – 6 October 2026)
Views total55,194
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Oct 2026, 20:09 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
≈3,270
Videos
≈90
Links
≈601

Lifetime counters from Telegram’s own channel header, read 6 October 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
3s
Average length
3s

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.

Recent posts

6 Oct 2026, 07:50 UTC83 viewsread 6 October 2026

قيمت طلا بالا پايين ميشه؛ خيليا از همين داستان پول در ميارن؛ قطعا ميدونم شمام مثل من بلد نيستيد كي طلا بخريد كي بفروشيد، اين كانال متخصص تريد طلا توش ادمينه بهتون سيگنال فروش و خريد ميده : @TalaBeris

6 Oct 2026, 07:09 UTC969 viewsread 6 October 2026

📚 ۵ کتاب کم‌حجم که زود از ذهنت نمی‌رن... ۱. دوست بازیافته — فرد اولمن دوستی دو نوجوان در آلمانِ روزهای قدرت‌گرفتن نازی‌ها؛ قصه‌ای کوتاه دربارهٔ نزدیکی و فاصله. ۲. شنل — نیکلای گوگول کارمندی ساده که مدت‌ها پس‌انداز می‌کند تا شنل تازه‌ای بخرد؛ داستانی کوتاه و تلخ دربارهٔ فقر، آرزوهای کوچک و نیاز به دیده‌شدن. ۳. مرگ ایوان ایلیچ — لئو تولستوی مردی که روبه‌روی پایان زندگی، برای نخستین‌بار جدی به شیوهٔ زندگی‌کردنش نگاه …

4 Oct 2026, 19:36 UTC118 viewsread 4 October 2026

جای چرخ زدن بیا یاد بگیر از هوش مصنوعی پول دربیار

4 Oct 2026, 19:34 UTC136 viewsread 4 October 2026

بلدی از هوش مصنوعی پول دربیاری؟

4 Oct 2026, 19:32 UTC150 viewsread 4 October 2026

درامد روزانه ۳ تومن از طریق هوش مصنوعی:

4 Oct 2026, 19:30 UTC166 viewsread 4 October 2026
Photo

دخترم ۲۰ سالمه از طریق هوش مصنوعی ماهی ۲۰۰ میلیون درامد دارم؛ آموزشارو از این کانال یاد گرفتم رایگان: @ChatGPT

3 Oct 2026, 17:56 UTC333 viewsread 3 October 2026

جای چرخ زدن بیا یاد بگیر از هوش مصنوعی پول دربیار

3 Oct 2026, 17:54 UTC368 viewsread 3 October 2026

بلدی از هوش مصنوعی پول دربیاری؟

3 Oct 2026, 17:52 UTC361 viewsread 3 October 2026

درامد روزانه ۳ تومن از طریق هوش مصنوعی:

3 Oct 2026, 17:50 UTC380 viewsread 3 October 2026
Photo

دخترم ۲۰ سالمه از طریق هوش مصنوعی ماهی ۲۰۰ میلیون درامد دارم؛ آموزشارو از این کانال یاد گرفتم رایگان: @ChatGPT

3 Oct 2026, 14:22 UTC≈2,060 viewsread 6 October 2026
Photo

📚 امروز چی بخونیم؟ • چراغ‌ها را من خاموش می‌کنم اثر زویا پیرزاد داستان کلاریس، زنی ارمنی در آبادان دهه ۴۰؛ زنی که زندگی‌اش میان همسر، بچه‌ها و کارهای تکراری خانه می‌گذرد، تا ورود همسایه‌های جدید باعث می‌شود بیشتر از قبل به خودش، خواسته‌هایش و زندگی‌ای که ساخته فکر کند. رمانی آرام و ظریف که اتفاق‌های کاملاً معمولی را به احساساتی عمیق تبدیل می‌کند. 📖 ژانر: رمان ایرانی، اجتماعی و خانوادگی 👤 مناسب برای: کسانی که داستان‌…

Showing the 12 most recent of 91 posts we hold for @FreeBOOK_Com. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

7 Aug 2026, 13:19 UTCAnonymous Poll6 voters

دوست داری بچه ات دو زبانه باشه ؟

  1. عاااره حتماااا83%
  2. مگه تو ایرانم داریم ؟ پاک نکن منم بیااام17%

Shares as published. No per-option vote count is published by Telegram, so none is 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 91 most recent posts we hold, published 26 July 2026 to 6 October 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 4 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.

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.

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مجله دانش برتر
@arzamin · 10,476
#74
اِﻭﻳن ﺭﻳﻣﻳﻛﺲ | 𝐸𝑣𝑖𝑛 𝑅𝑒𝑚𝑖𝑥
@Evin_officiial · 15,695
#75
Mecademy
@MechAcademy · 2,459
#76
جان عشاق
@Jane_oshaagh · 11,245
#77
موسسه علوم پزشکی سنا
@medical_sana · 14,070
#78
همه‌ چیز در مورد حسابداری‌
@hesabdarijozveh · 54,767
#79
زین قند پارسی - علیرضا حیدری
@qande_parsi · 14,975
#80
ایردراپ/ارز
@irdraparzy · 149
#81
برادران کارامازوف صوتی
@TheBrothersKaramazov2021 · 4,921
#82
DOGS Community
@dogs · 6,873,004
#83

Read from Telegram’s recommendation API, most recently 26 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.

English BiO
@English_bi0 · 19,225
Telegram ranks this channel #10 of 65 here — alongside 64 others — read 2 October 2026
دكتر آذرتاش
@drazartash · 24,682
Telegram ranks this channel #12 of 61 here — alongside 60 others — read 15 September 2026
کتاب 📚زاپاس
@ReadingLandzapas · 23,823
Telegram ranks this channel #17 of 75 here — alongside 74 others — read 17 September 2026
پارادایز
@Paradiseoffiicial · 25,113
Telegram ranks this channel #20 of 77 here — alongside 76 others — read 14 September 2026
کتابخانه سیمرغ
@seemorghbook · 74,590
Telegram ranks this channel #21 of 86 here — alongside 85 others — read 19 August 2026
BOOK™
@lBOOKl · 187,942
Telegram ranks this channel #23 of 86 here — alongside 85 others — read 11 August 2026
تجویز کتاب
@TajvizeKetab · 103,407
Telegram ranks this channel #24 of 76 here — alongside 75 others — read 15 August 2026
PDF book
@PDFbo0ok · 114,676
Telegram ranks this channel #24 of 88 here — alongside 87 others — read 14 August 2026
a
@Wired3AM · 15
Telegram ranks this channel #34 of 81 here — alongside 80 others — read 23 August 2026
کتابخانه 🔊
@bo0ok_lovers · 202,766
Telegram ranks this channel #34 of 86 here — alongside 85 others — read 11 August 2026
هوای حوا
@Havaye_Havva · 36,815
Telegram ranks this channel #38 of 80 here — alongside 79 others — read 1 September 2026
کتابخانه صوتی 🎧
@audiobo0ok · 581,276
Telegram ranks this channel #39 of 91 here — alongside 90 others — read 26 August 2026
◀️MLI.English▶️
@mlienglish · 263,841
Telegram ranks this channel #49 of 82 here — alongside 81 others — read 10 August 2026

This channel appears in 13 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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“Free BOOK | کتاب رایگان” (@FreeBOOK_Com), 48,566 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/FreeBOOK_Com.

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.