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Telegram profile photo for English Books Magazines Novels

Channel

English Books Magazines Novels

@Novels_English_Books_Magazines

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

214,765subscribers

-3,680 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001159423770
TypeChannel
Username@Novels_English_Books_Magazines
DescriptionFree English Books and Magazines for all! Channel's Private Link: https://t.me/joinchat/AAAAAEUbZxqyCKxhZbf-PA
Created15 September 2018 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/Novels_English_Books_Magazines

Topic

Literature — 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 99% 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.

Growth

214,765218,446216,605.56 August 20267 November 2026
64 measurements spanning 93 days, net -3,680. 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 214,213–218,998 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
7 Nov 2026, 08:45214,765-77
6 Nov 2026, 11:05214,842-23
5 Nov 2026, 12:20214,865-39
4 Nov 2026, 15:30214,904-65
3 Nov 2026, 16:25214,969-17
2 Nov 2026, 17:26214,986-28
1 Nov 2026, 19:51215,014-51
31 Oct 2026, 21:05215,065-72
30 Oct 2026, 18:38215,137-43
29 Oct 2026, 15:39215,180-98
28 Oct 2026, 13:49215,278-37
27 Oct 2026, 16:37215,315-45
26 Oct 2026, 16:10215,360-47
25 Oct 2026, 13:39215,407-30
24 Oct 2026, 16:10215,437-24
23 Oct 2026, 16:36215,461-73
22 Oct 2026, 16:49215,534-71
21 Oct 2026, 11:37215,605-52
20 Oct 2026, 09:39215,657-68
19 Oct 2026, 07:06215,725first reading

Engagement

26 posts held, back to 20 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 190 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.38%
avg views ÷ 214,765 subscribers
Avg views / post
7,260
13 posts measured
Reaction rate
0.33%
reactions ÷ views · ER floor
Posts in window
13
of 26 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 7 November 2026
Posts held26 (20 May 2025 – 7 November 2026)
Views total94,430
Reactions total312
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 02:07 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
≈5,130
Links
≈8

Lifetime counters from Telegram’s own channel header, read 8 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.

Reaction mix

2,223 reactions across 26 posts, in 19 distinct kinds. The most used accounts for 70.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,56070.2%
👍28012.6%
❤‍🔥1275.71%
🔥482.16%
🕊391.75%
🙏371.66%
🤡271.21%
👎180.81%
👌170.765%
👏170.765%
🤔150.675%
😁130.585%
🌚70.315%
🎉60.27%
💯40.18%
🥰40.18%
🤨20.09%
😐10.045%
🤬10.045%

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 26 of the 26 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 2,223 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 20 May 2025 to 7 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 13 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).

7 Nov 2026, 06:31 UTC≈2,110 views8 reactionsread 8 November 2026
Photo

Religion is a perfect illustration of the dangers of excessive attachment to beliefs: The ego will use any belief to strengthen its identity, whether these beliefs are religious, political, or metaphysical. Master your emotions📚

👍5❤3

4 Nov 2026, 06:32 UTC≈5,180 views14 reactionsread 8 November 2026
Photo

Master your decisions📚 Every decision you make is a reflection of the type of person you want to be and the kind of world you want to live in In short, your decisions act as a voting mechanism. Every time you make a choice, you cast a vote for what matters most to you.

🔥6❤4❤‍🔥3😐1

4 Nov 2026, 06:10 UTC≈4,380 views3 reactionsread 8 November 2026
Photo

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👍2❤1

1 Nov 2026, 06:32 UTC≈7,060 views28 reactionsread 8 November 2026
Photo

'The ultimate reward of life is a tranquil mind, a mind that is" free of fear, a mind that is confident, and takes on every challenge it faces. Success means we experience life instead of enduring it, Life does not have to be a struggle.

❤26🤬1🥰1

29 Oct 2026, 06:32 UTC≈8,710 views24 reactionsread 7 November 2026
Photo

what is most important is that we maintain an awareness of ourselves. Awareness, though, is not rumination. When we are aware, we simply turn our attention onto both our inner and outer cxperience without judgment, and without clinging or resisting.

❤20🥰3🙏1

26 Oct 2026, 06:32 UTC≈9,040 views29 reactionsread 4 November 2026
Photo

Life is change, Nothing in our power can change the nature of life. To find true freedom in life, we must accept that life is unstable.

❤25👍2👎2

23 Oct 2026, 06:32 UTC≈9,510 views24 reactionsread 1 November 2026
Photo

1. Build trust, build markets Why it matters: Trust is the invisible fuel behind every successful team, customer relationship, and long-term business What does it mean: When your staff trusts you, they're more open, loyal, and willing to take risks. This creates faster execution, stronger collaboration, and greater brand loyalty. Takeaway: Your ability to scale your business is directly tied to how much people trust …

❤23🎉1

20 Oct 2026, 06:35 UTC≈9,480 views45 reactionsread 29 October 2026
Photo

That's how you protect your mood: By not feeling responsible for how others feel. Focus on your self and be the best person you can be. And if others need you help, you can be there for them.

❤33👌6👍4💯2

18 Oct 2026, 06:33 UTC≈8,850 views19 reactionsread 26 October 2026
Photo

We build up the feeling of insecurity or security by how we think. If in our thoughts we constantly fix atention upon sinister expectations of dire events that might happen, the result will be constantly to feel insecure.

❤17💯2

16 Oct 2026, 06:33 UTC≈7,760 views34 reactionsread 22 October 2026
Photo

What you do daily is going to shape your future You are the sum of everything you've done for the past few years. To change who you are, you must change what you do daily.

❤24👍9👌1

14 Oct 2026, 06:31 UTC≈7,460 views37 reactionsread 19 October 2026
Photo

It's okay to have a bad day, it's okay to have a bad week. It's okay to have bad months. Give yourself that much-needed space to feel, embrace the messiness, and understand that it's an integral part of the journey towards becoming an even more awesome version of yourself. It's akin to playing with tubs of colours; it starts off all messy, but in the end, you create a beautifu picture - the new and improved best vers…

❤28👍8🔥1

Showing the 12 most recent of 26 posts we hold for @Novels_English_Books_Magazines. 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

Names

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

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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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.

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This channel appears in 65 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“English Books Magazines Novels” (@Novels_English_Books_Magazines), 214,765 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/Novels_English_Books_Magazines.

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.