Telegram RegisterThe public register of Telegram
Telegram profile photo for Books

Channel

Books

@books

8 usernames

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

214,544subscribers

+882 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001616159980
TypeChannel
Usernames@audible @audiobook @bookbot @books @bookshub @ebooks @reading @selfhelp
Created1 November 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 September 2026
Measurements held211
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/books

Topic

Gambling & betting — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@books/668 · this entry21 Jun 2026, 11:51 UTC@AudiobooksArchive/51221 Jun 2026, 11:51 UTC1.00under a minute
@books/670 · this entry22 Jun 2026, 19:04 UTC@AudiobooksArchive/51422 Jun 2026, 19:04 UTC1.00under a minute
@books/676 · this entry9 Jul 2026, 20:26 UTC@AudiobooksArchive/5169 Jul 2026, 21:44 UTC1.0078 minutes
@books/683 · this entry15 Jul 2026, 14:54 UTC@AudiobooksArchive/52015 Jul 2026, 14:54 UTC1.00under a minute
@books/687 · this entry22 Jul 2026, 20:34 UTC@AudiobooksArchive/52122 Jul 2026, 20:34 UTC1.00under a minute
@books/701 · this entry28 Jul 2026, 21:09 UTC@AudiobooksArchive/52728 Jul 2026, 21:09 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@AudiobooksArchive9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (90)
@books_rec8 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (80)

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 11 comparable posts for this entry, running 21 June 2026 to 5 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 @books — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 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

213,661214,544214,102.55 August 202610 September 2026
211 measurements spanning 35 days, net +882. 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 213,529–214,676 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 211
Measured (UTC)SubscribersChange
10 Sept 2026, 04:01214,544+46
9 Sept 2026, 14:54214,498+85
8 Sept 2026, 13:40214,413+23
8 Sept 2026, 07:20214,390+18
8 Sept 2026, 01:18214,372+2
7 Sept 2026, 21:16214,370+1
7 Sept 2026, 19:00214,369+1
7 Sept 2026, 07:40214,368+28
6 Sept 2026, 18:59214,340+30
6 Sept 2026, 07:38214,310-13
5 Sept 2026, 11:18214,323-5
5 Sept 2026, 01:59214,328no change
4 Sept 2026, 22:59214,328+2
4 Sept 2026, 21:41214,326no change
4 Sept 2026, 21:37214,326-13
4 Sept 2026, 15:00214,339-11
4 Sept 2026, 08:41214,350-15
4 Sept 2026, 02:58214,365-26
3 Sept 2026, 14:01214,391+4
3 Sept 2026, 11:37214,387first reading

Engagement

23 posts held, back to 21 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 82 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.1%
avg views ÷ 214,544 subscribers
Avg views / post
30,200
10 posts measured
Reaction rate
0.161%
reactions ÷ views · ER floor
Posts in window
10
of 23 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 5 September 2026
Posts held23 (21 June 20265 September 2026)
Views total302,460
Reactions total486
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 21:39 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.

Reaction mix

1,974 reactions across 23 posts, in 4 distinct kinds. The most used accounts for 70.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,39670.7%
👍31816.1%
❤‍🔥1698.56%
914.61%

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 23 of the 23 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 1,974 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 21 June 2026 to 5 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
4
across the posts below
Posts paid on
4
of 23 we hold a reading for · 17%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @books. 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 23 most recent posts we hold for this entry, published 21 June 2026 to 5 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.

Recent posts

5 Sept 2026, 15:00 UTC≈4,320 views10 reactionsread 6 September 2026
Photo

Old Photo Album is a channel with the rarest and most interesting historical photos. Dive into history, travel back in time, and enjoy the aesthetic.📸

9👍1

3 Sept 2026, 20:40 UTC≈5,310 views6 reactionsread 4 September 2026
Photo

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6

3 Sept 2026, 16:37 UTC≈5,930 views9 reactionsread 4 September 2026
Photo

We're tired of these market swings 🙄 Nevertheless, we've accurately predicted over 90% of the outcomes — as evidenced by every post on our channel Our team helps our community earn money alongside us. We've published our latest cryptocurrency market analysis — check it out before we take down the link 🔒 👉 https://t.me/+WuKiGliaovs2Y2Iy

7👍2

3 Sept 2026, 02:23 UTC≈27,900 views90 reactionsread 9 September 2026
Photo

The most important relationship is the one you have with yourself You are more than your mistakes, anxiety, or worst moments. Treat yourself with the same patience, kindness, and encouragement you would give someone you deeply care about. And remember, true wealth isn’t measured by money, status, or possessions. It’s reflected in how you treat people. Success means little if it costs you your humility, kindness, an

7010❤‍🔥8👍2

2 Sept 2026, 15:03 UTC≈20,100 views10 reactionsread 9 September 2026

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10

31 Aug 2026, 06:06 UTC≈35,400 views120 reactionsread 9 September 2026
Photo

Stop outsourcing your life Expecting others to always stay, understand you, or guide you can leave you dependent on something you can’t control. Learn to create enough space within yourself that being alone feels safe rather than empty. The same applies to your mind. Constantly consuming other people’s opinions, advice, and social media can drown out your own judgment. Spend time alone. Listen to yourself. Your he

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26 Aug 2026, 15:03 UTC≈34,300 views19 reactionsread 9 September 2026

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15👍4

21 Aug 2026, 19:17 UTC≈62,300 views166 reactionsread 9 September 2026
Photo

A simple morning system for changing your life How you end your day can influence how you begin the next. Set an empowering intention before bed instead of falling asleep focused on stress or overwhelm. Then build your morning around six practices: S — Silence A — Affirmations V — Visualization E — Exercise R — Reading S — Scribing You don’t have to transform everything at once. Start one step at a time. Practise

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19 Aug 2026, 15:02 UTC≈45,200 views21 reactionsread 9 September 2026

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19👍2

12 Aug 2026, 15:03 UTC≈61,700 views35 reactionsread 9 September 2026

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27❤‍🔥53

5 Aug 2026, 20:55 UTC≈102,000 views167 reactionsread 9 September 2026
Photo

Your thoughts have power only when you accept them Other people’s words don’t control you unless you give them your attention and belief. The moment you accept a thought as true, your subconscious begins acting on it. To create change, don’t force your subconscious. Give it a clear, positive idea, feel it as real, and let your mind work toward it. The thoughts you repeatedly accept become the life you experience.

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5 Aug 2026, 15:01 UTC≈63,900 views10 reactionsread 9 September 2026

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8👍2

Showing the 12 most recent of 23 posts we hold for @books. 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.

Mentions

Named by 54 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Books Hub: Free Ebook & Audiobook
@bookshub25 · 276,782
#1
eBook Room
@eBookRoom · 331,897
#2
Bookishfrenzy | Premium Ebooks and Audiobooks
@premium_ebooks · 102,627
#3
Best books | Ebooks & Audiobooks | Top lists | Recommendations
@book_lists · 32,574
#4
E-book Emporium!
@Ebook_Emporium · 13,537
#5
eBooks Cafe
@eBooksCafe · 62,342
#6
English Books Magazines Novels
@Novels_English_Books_Magazines · 217,376
#7
Quotes Collection • Quotes Archive • Book Snippets
@Audiobooks_collection · 30,904
#8
𝐁𝐎𝐎𝐊𝐒 𝐊𝐇𝐀𝐙𝐀𝐍𝐀™️ ( книги Сокровище)
@BOOKS_KHAZANA · 42,743
#9
𝗦𝗲𝗹𝗳 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗕𝗼𝗼𝗸𝘀
@selfimprovementbooks1 · 43,242
#10
Forex Trading Free Mt4
@forexbinarymt4mt5indicators · 11,458
#11
Business Library 📚
@mindcrypto · 34,338
#12
Brighten Up Your Mind
@Brighten_Up_Your_Mind · 11,962
#13
BUSINESS BOOKS 101
@businessbooks101 · 31,171
#14
BOOK HEAVEN 📚
@BUYM_Gallery · 9,156
#15
Business Audiobooks
@BusinessAudiobooksss · 18,110
#16
Books | Selfhelp | Nonfiction
@books_rec · 63,571
#17
Fiction And Non Fiction Books PDF
@storybookspdf · 16,517
#18
BUSINESS BOOKS PDF 102
@businessbookspdf101 · 25,625
#19
LIFE TIPS
@the_life_tips · 113,083
#20
Billionaire's Mindset 💰
@BillionairesTM · 47,530
#21
Velvet Pages | eLibrary 🥂
@Bookslibraryofficial · 11,276
#22
BookWorld Atomic Habits Rich Dad Poor Dad The Alchemist Ikigai The 5 Am Club Think And Grow Rich The 48 Laws Of Power
@BookWorldReal · 31,898
#23
GENERAL KNOWLEDGE ™ 💡
@General_KnowledgeTM · 69,307
#24
Рodcasts Аudio
@podcasts_audioo · 3,662
#25
Book Refers - List & Recommendations
@bookrefers · 1,876
#26
Books
@spiritualbookstg · 13,225
#27
𝐒𝐞𝐫𝐞𝐧𝐢𝐭𝐲 + 𝐖𝐞𝐚𝐥𝐭𝐡™
@SerenityWealth · 69,636
#28
School Of Wealth 🤑
@Success_Skills_keys · 44,079
#29
BEXQQQ
@bexqqq · 7,868
#30
Econo - Economy.Finance.Money
@financ · 8,537
#31
Free PDF Books on Management, Commerce, Business, Economics, HR, Leadership, Strategy, Communication, Entrepreneurship
@ProfVermaVishal · 33,210
#32
𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗕𝗼𝗼𝗸𝘀™-Self help books English
@success_books_2 · 15,887
#33
Book library
@ebusineessbookpdff · 9,207
#34
English Novels
@EnglishNovels_Classic · 22,562
#35
📚Books $ Crypto🧠
@Crypto_News_Ke · 16,485
#36
Meet ChatGPT!
@meet_chatgpt · 18,496
#37
Now I Know 👌
@inowknow · 17,188
#38
Hi-Tech Daily News
@hitechdailynews · 16,636
#39
Rare Books Of India
@Indian_History_Books_PDF_UPSC · 57,232
#40
Breathtaking Technologies
@softwareninja · 13,226
#41
Earth, Galaxy, Universe
@ourearthgalaxy · 11,661
#42
The English Box | Английский язык
@kappienglish · 35,335
#43
BOOK CASTLE 💖📚
@Ebookpdfaudiobooks · 20,997
#44
Economic Power​
@The_Economic_Power · 860
#45
English Horizon | Все на английском
@everythingenglishua · 30,927
#46
Secrets of More Money
@findtechjobs · 6,719
#47
IELTS|Newspapers & Magazines|English
@eMagzinewspars · 61,856
#48
PSYCHO W🌍RLD ®
@Psycho_Motivations · 113,601
#49
Traveller
@yourtraveller · 11,611
#50
Buzz 💬 Quotes
@buzzquotes · 27,668
#51
Muscat English | IELTS, TOEFL + репетиторы, преподаватели, студенты
@muscatenglish · 59,561
#52
MONEY TIPS
@audiobooks_business101 · 4,471
#53
Infinity ∞ Thoughts
@feelingsworldx · 93,113
#54
Digital Dreams :: Midjourney | Stable Diffusion | Leonardo | Runway | Generative AI
@ai_art_beauty_image_midjourney · 8,710
#55
Buzz 📚 History
@buzzhistory · 51,406
#56
Linkedin Learning
@linkedin_learning · 217,639
#57
😋 Hungry Heads 🧠 Tech, science, quizzes and more
@hungry_heads_eng · 1,625
#58
Science4all - Best Scientific Channel
@scientific · 10,675
#59
E-Book Bazaar
@booksbazaaar · 6,883
#60
Books community:- ebooks novel fiction romantic motivational 📖📚
@Ebookspdfdownload · 25,737
#61
Spiritual Library
@SpiritualLibrary · 19,282
#62
Investmen - Business.Startups.Investments
@investmen · 8,434
#63
eng books • collection
@englishbooks_collection · 65,161
#64
Everything English / IELTS / Newspapers / Magazines/ Economist
@itsallinenglish · 87,262
#65
🟣🟢 English Trunk | Английский язык
@trunkietrunk · 53,438
#66
Time Machine
@whichtimes · 18,229
#67
Psychology books
@bookspsychology101 · 30,871
#68
Archive of newspapers & magazines
@newspaper_archive · 37,406
#69
Book review with BABILA✨
@bookreviewizB · 5,054
#70

Read from Telegram’s recommendation API, most recently 12 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.

Books | Selfhelp | Nonfiction
@books_rec · 63,571
Telegram ranks this channel #2 of 69 here — alongside 68 others — read 21 August 2026
Books Hub: Free Ebook & Audiobook
@bookshub25 · 276,782
Telegram ranks this channel #2 of 64 here — alongside 63 others — read 12 August 2026
Audio Books Archive
@AudiobooksArchive · 132,948
Telegram ranks this channel #4 of 61 here — alongside 60 others — read 13 August 2026
eBook Room
@eBookRoom · 331,897
Telegram ranks this channel #4 of 62 here — alongside 61 others — read 12 August 2026
English Books Magazines Novels
@Novels_English_Books_Magazines · 217,376
Telegram ranks this channel #5 of 72 here — alongside 71 others — read 12 August 2026
eBooks Cafe
@eBooksCafe · 62,342
Telegram ranks this channel #7 of 70 here — alongside 69 others — read 21 August 2026
Books in English | Умные книги на английском | Non-fiction
@muscatnonfiction · 66,108
Telegram ranks this channel #9 of 62 here — alongside 61 others — read 21 August 2026
Motivation and Psychology
@motivation202300 · 28,385
Telegram ranks this channel #30 of 65 here — alongside 64 others — read 9 September 2026
Harvard Business Review
@hbr_uz · 28,104
Telegram ranks this channel #36 of 58 here — alongside 57 others — read 10 September 2026
Books Mania
@booksmania · 76,879
Telegram ranks this channel #40 of 72 here — alongside 71 others — read 19 August 2026
The Economist (audio + pdf) | Экономист| Английский
@economistenglish · 30,752
Telegram ranks this channel #55 of 57 here — alongside 56 others — read 7 September 2026
Curiosity Tea ☕️
@Curiosity_Tea · 76,748
Telegram ranks this channel #62 of 86 here — alongside 85 others — read 19 August 2026

This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Domains linked from posts

2 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

rainbet.com3 posts · 22 July 2026 – 5 August 2026 · example post
re-ad.medium.comregistrable domain: medium.com1 post · 15 July 2026 – 15 July 2026 · example post

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 10 September 2026 — this entry's latest reading, not the date you are reading this.

“Books” (@books), 214,544 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/books.

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.