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Channel

Daily Ebook Downloads📚

@Books_Epub_Pdfs

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Polls · Citations · Handles named that no longer answer · Cite this entry

40,507subscribers

-1,703 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-1001319745171
TypeChannel
Username@Books_Epub_Pdfs
DescriptionBuy ads @jamesjoes https://telega.io/c/Deepseek_Ebooks_Libraly_telegram #Courses #Crypto #BusinessBook #SelfDevelopementBooks #StartupBooks NUMBER ONE #RATED BOOK'S e-books , pdf , epub , CHANNEL ON TELEGRAM ♥️ non-fictions and fiction's
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/Books_Epub_Pdfs

Topic

Education — 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 38% 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 8 other registered channels. This entry also sits inside a group of 9 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@Success_Skills_keys/1902214 Aug 2026, 08:38 UTC@Books_Epub_Pdfs/52316 · this entry14 Aug 2026, 08:38 UTC1.00under a minute
@Success_Skills_keys/1910625 Aug 2026, 19:16 UTC@Books_Epub_Pdfs/52399 · this entry25 Aug 2026, 19:16 UTC1.00under a minute
@Success_Skills_keys/1911026 Aug 2026, 05:54 UTC@Books_Epub_Pdfs/52403 · this entry26 Aug 2026, 06:02 UTC1.008 minutes
@Success_Skills_keys/1912427 Aug 2026, 09:16 UTC@Books_Epub_Pdfs/52415 · this entry27 Aug 2026, 09:16 UTC1.00under a minute
@Success_Skills_keys/191717 Sept 2026, 02:37 UTC@Books_Epub_Pdfs/52473 · this entry7 Sept 2026, 02:37 UTC1.00under a minute
@Success_Skills_keys/191727 Sept 2026, 13:28 UTC@Books_Epub_Pdfs/52475 · this entry7 Sept 2026, 13:28 UTC1.00under a minute
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
@Success_Skills_keys93 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (76–17)
@Crypto_News_Ke73 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (63–10)
@Entrepreneur_Mindset_Quotes_Fact64 (8/8 hand-verifiable sample passed)1.00under a minute@Entrepreneur_Mindset_Quotes_Fact (61–3)
@Entrepreneur_tips_Crypto_Skills48 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (43–5)
@Unstoppable_Billionaires_habits26 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (21–5)
@uscryptoreport17 (8/8 hand-verifiable sample passed)1.00under a minute@uscryptoreport (16–1)
@get_books_now5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (5–0)
@wealthawarenesscollectives5 (5/5 hand-verifiable sample passed)1.00under a minutethis 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. 108 of the 112 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 157 comparable posts for this entry, running 2 August 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).

Of the group of 9 channels, the one whose matching posts we hold earliest is @Unstoppable_Billionaires_habits. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 14 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.

Channels linked by matching posts

This channel is in a group of 9 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

40,50742,21041,358.57 August 202612 November 2026
64 measurements spanning 97 days, net -1,703. 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 40,252–42,465 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
12 Nov 2026, 16:2140,507-40
10 Nov 2026, 10:0040,547-10
8 Nov 2026, 21:1640,557-30
7 Nov 2026, 11:1640,587-26
6 Nov 2026, 11:1940,613-15
5 Nov 2026, 08:1940,628-19
4 Nov 2026, 06:5040,647-22
3 Nov 2026, 08:4240,669-6
2 Nov 2026, 09:4140,675-11
1 Nov 2026, 12:2040,686-12
31 Oct 2026, 12:0140,698-24
30 Oct 2026, 15:3540,722-29
29 Oct 2026, 12:4940,751-23
28 Oct 2026, 08:4540,774-4
27 Oct 2026, 11:3740,778-13
26 Oct 2026, 13:3140,791-12
25 Oct 2026, 12:5440,803-12
24 Oct 2026, 09:5640,815-20
23 Oct 2026, 12:0640,835-22
22 Oct 2026, 11:0640,857first reading

Engagement

226 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 208 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.78%
avg views ÷ 40,507 subscribers
Avg views / post
1,940
39 posts measured
Reaction rate
0.371%
reactions ÷ views · ER floor
Posts in window
39
of 226 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. It is computed over the 31 of 39 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 13 November 2026
Posts held226 (2 August 2026 – 13 November 2026)
Views total75,514
Reactions total238
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 11:15 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
≈1,340
Videos
≈15
Links
≈755

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
4m 35s
Average length
12s

Measured directly from 23 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

686 reactions across 147 posts, in 16 distinct kinds. The most used accounts for 71.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤48971.3%
🔥527.58%
💯446.41%
👍355.10%
❤‍🔥172.48%
👏142.04%
👌121.75%
🙏60.875%
🤝40.583%
🫡40.583%
🥰30.437%
🤨20.292%
⚡10.146%
✍10.146%
🎉10.146%
🥴10.146%

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 151 of the 226 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 686 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 226 most recent posts we hold, published 2 August 2026 to 13 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: 0 of 39 posts held from the last 30 days (0%) 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).

13 Nov 2026, 09:04 UTC411 views4 reactionsread 14 November 2026
Forwarded from @bookreviewizBPoll

Which book should be our next review😊?

  1. Deepwork35%
  2. You Are a Badass24%
  3. The Courage to be Disliked49%
  4. Be useful25%

The shares total 133%, 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.

🔥4

13 Nov 2026, 04:25 UTC471 views6 reactionsread 14 November 2026
Forwarded from @bookreviewizB

He who sees too much, end up not fitting anywhere. - Nietzsche Join- @bookreviewizB

❤4💯2

12 Nov 2026, 10:46 UTC656 views9 reactionsread 14 November 2026
Forwarded from @bookreviewizB

Failure Is the Way Forward Failure isn’t the opposite of success — it’s a necessary part of it. Most people fear failure, so they avoid taking action. But avoiding failure only guarantees one thing: stagnation. The chapter encourages embracing mistakes and discomfort because growth is impossible without them. Every experience, whether success or failure, teaches us something valuable if we pay attention. improveme…

❤8🔥1

12 Nov 2026, 04:59 UTC735 viewsread 14 November 2026
Photo

Audiobooks Exclusive 20⭐ 10 ⭐ Now For only 7 members https://t.me/+gIiAmUXjqEQwNWRk

12 Nov 2026, 03:58 UTC580 views4 reactionsread 14 November 2026
Forwarded from @bookreviewizB

Reality is too heavy for people, so they rent illusions and call it hapiness. - Franz Kafka @bookreviewizB

💯3❤1

11 Nov 2026, 11:51 UTC775 views8 reactionsread 14 November 2026
Forwarded from @bookreviewizB

Mindsets The way you think about your abilities can shape how you approach challenges, failure, and success. A fixed mindset is the belief that intelligence, talent, and abilities are mostly unchangeable. People with this mindset may avoid challenges because they are afraid of making mistakes or looking incapable. A growth mindset, on the other hand, is the belief that abilities can be developed through effort, lear…

❤7🔥1

11 Nov 2026, 07:34 UTC796 views1 reactionsread 14 November 2026
Photo

Audiobooks Exclusive https://t.me/+gqUkr2fJXOdjYzc0

❤1

10 Nov 2026, 11:03 UTC834 views6 reactionsread 14 November 2026
Forwarded from @bookreviewizBPhoto

-Master your mindset✨ Join- @bookreviewizB

❤3🔥2👍1

9 Nov 2026, 15:45 UTC887 views6 reactionsread 14 November 2026
Forwarded from @bookreviewizBPoll

Hello friends👋, Do you read philosophical books?

  1. Yes, I do80%
  2. No, I don't22%

The shares total 102%, 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.

❤5🥴1

9 Nov 2026, 06:43 UTC≈1,120 viewsread 14 November 2026
Photo

The must-have search engine for Telegram — Argo helps you precisely find the groups, channels, videos, and music you want! https://t.me/argo?start=a_PPPTR9S1

9 Nov 2026, 05:22 UTC≈1,010 views13 reactionsread 14 November 2026
Forwarded from @bookreviewizB

Stop Procrastinating and Take Action The biggest reason people struggle to achieve their goals is often procrastination. We tend to delay difficult, important tasks and spend our time on easier activities that make us feel busy but do not move us forward. The idea of “eating the frog” means identifying your most important and challenging task and completing it before allowing distractions to take over your day. Pro…

❤‍🔥7❤4👌1🔥1

8 Nov 2026, 15:57 UTC858 views5 reactionsread 14 November 2026
Forwarded from @bookreviewizB

Everything you’ve ever wanted is on the other side of fear. @bookreviewizB

💯4❤1

Showing the 12 most recent of 226 posts we hold for @Books_Epub_Pdfs. 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 recorded as deleted after publishing

We recorded 28 posts on @Books_Epub_Pdfs 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
8 August 2026
Most recent seen missing
3 November 2026
Median time before seen missing
42 hours
Seen missing in the last 30 days
6

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.

13 Nov 2026, 09:04 UTCAnonymous Poll88 voters

Which book should be our next review😊?

  1. Deepwork35%
  2. You Are a Badass24%
  3. The Courage to be Disliked49%
  4. Be useful25%

The shares total 133%, 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.

9 Nov 2026, 15:45 UTCAnonymous Poll153 voters

Hello friends👋, Do you read philosophical books?

  1. Yes, I do80%
  2. No, I don't22%

The shares total 102%, 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 226 most recent posts we hold, published 2 August 2026 to 13 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

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

Named by 10 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.

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.

“Daily Ebook Downloads📚” (@Books_Epub_Pdfs), 40,507 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/Books_Epub_Pdfs.

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.