Channel
@EnglishNovels_Classic
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
23,136subscribers
+966 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001252170216 |
|---|---|
| Type | Channel |
| Username | @EnglishNovels_Classic |
| Description | 💸 #Mentorship 📈 #Entrepreneurship 🚀 #Leadership 📚 #Education 💡 #BusinessIdeas ✨ #LifeOptimization 💰 #InvestingStrategies 🏠 #RealEstateExpertis FOR ADS:️ @TUZB_AD aliexpress.com amazon.com 🌐 SOME MORE: @ielts_readup @ingliztili_voc @teacher_uzb |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/EnglishNovels_Classic |
Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 01:11 | 23,136 | +8 |
| 6 Nov 2026, 20:10 | 23,128 | +6 |
| 5 Nov 2026, 20:48 | 23,122 | -5 |
| 4 Nov 2026, 20:28 | 23,127 | -8 |
| 3 Nov 2026, 18:41 | 23,135 | -2 |
| 2 Nov 2026, 18:40 | 23,137 | -2 |
| 1 Nov 2026, 21:59 | 23,139 | -3 |
| 31 Oct 2026, 20:48 | 23,142 | -10 |
| 30 Oct 2026, 18:18 | 23,152 | -3 |
| 29 Oct 2026, 16:56 | 23,155 | +1 |
| 28 Oct 2026, 18:51 | 23,154 | +8 |
| 27 Oct 2026, 21:58 | 23,146 | +14 |
| 26 Oct 2026, 21:39 | 23,132 | +8 |
| 25 Oct 2026, 20:45 | 23,124 | +13 |
| 23 Oct 2026, 20:17 | 23,111 | +7 |
| 22 Oct 2026, 23:39 | 23,104 | +15 |
| 20 Oct 2026, 21:09 | 23,089 | +12 |
| 19 Oct 2026, 21:56 | 23,077 | +8 |
| 18 Oct 2026, 22:16 | 23,069 | +8 |
| 17 Oct 2026, 19:46 | 23,061 | first reading |
84 posts held, back to 5 October 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 101 pages of Telegram’s post history, 20 posts per page.
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 19 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 84 (5 October 2025 – 8 November 2026) |
| Views total | 47,254 |
| Reactions total | 91 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 14:35 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.
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. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 10 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.
728 reactions across 70 posts, in 14 distinct kinds. The most used accounts for 76.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 557 | 76.5% | |
| 👍 | 62 | 8.52% | |
| 🔥 | 47 | 6.46% | |
| 💯 | 17 | 2.34% | |
| 👎 | 15 | 2.06% | |
| 👏 | 15 | 2.06% | |
| 🥰 | 8 | 1.10% | |
| 🍓 | 1 | 0.137% | |
| 👌 | 1 | 0.137% | |
| 💋 | 1 | 0.137% | |
| 😭 | 1 | 0.137% | |
| 😱 | 1 | 0.137% | |
| 🤔 | 1 | 0.137% | |
| 🤩 | 1 | 0.137% |
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 72 of the 84 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 728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 84 most recent posts we hold, published 5 October 2025 to 8 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.
Telegram’s own ‘edited’ marker: 0 of 29 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).
❝ Kindred spirits are not so scarce as I used to think. It's splendid to find out there are so many of them in the world. ❞ — L. M. Montgomery, Anne of Green Gables (1908) 💭 Anne learns that kindred spirits don't always look the part. Belonging is easier to find once you stop judging people by first impressions. #friendship #ClassicLiterature · @EnglishNovels_Classic
❝ There is nothing either good or bad, but thinking makes it so. ❞ — William Shakespeare, Hamlet (c. 1600) 💭 Hamlet says this about Denmark, which feels like a prison to him. The line is a reminder that our interpretation of events often weighs as much as the events do. #perspective #ClassicLiterature · @EnglishNovels_Classic
❤1
❝ I have been bent and broken, but—I hope—into a better shape. ❞ — Charles Dickens, Great Expectations (1861) 💭 The hedge in 'I hope' is what makes this believable. Estella doesn't claim suffering has perfected her, only that it might have made her more humane. #change #ClassicLiterature · @EnglishNovels_Classic
❝ All the privilege I claim for my own sex (it is not a very enviable one; you need not covet it), is that of loving longest, when existence or when hope is gone. ❞ — Jane Austen, Persuasion (1817) 💭 Anne defines constancy as a quiet, unglamorous privilege, not a prize. It still reads as one of the most honest descriptions of love that lasts after it has stopped being rewarded. #love #ClassicLiterature · @EnglishN…
❝ So we beat on, boats against the current, borne back ceaselessly into the past. ❞ — F. Scott Fitzgerald, The Great Gatsby (1925) 💭 The closing line holds both striving and nostalgia. We keep pushing toward the future while the past pulls us back, and the sentence is built to sound like that pull. #time #ClassicLiterature · @EnglishNovels_Classic
❝ Isn't it nice to think that tomorrow is a new day with no mistakes in it yet? ❞ — L. M. Montgomery, Anne of Green Gables (1908) 💭 Anne says it with a child's optimism, but it describes a sound habit: end the day, forgive yourself, and start the next one fresh. #renewal #ClassicLiterature · @EnglishNovels_Classic
❤2
❝ Nothing is so painful to the human mind as a great and sudden change. ❞ — Mary Shelley, Frankenstein (1818) 💭 Victor says this in the middle of grief, but it applies to any upheaval. Shock hurts more than slow change because the mind has no time to adjust. #change #ClassicLiterature · @EnglishNovels_Classic
❝ I want to do something splendid before I go into my castle, something heroic or wonderful that won’t be forgotten after I’m dead. ❞ — Louisa May Alcott, Little Women (1868) 💭 Jo's wish is both comic and sincere. It captures the restless young ambition to matter, and the novel gently asks what counts as splendid. #ambition #ClassicLiterature · @EnglishNovels_Classic
💔 Book Recommendation Ugly Love by Colleen Hoover ✈️🌉 Get ready for a story that will break your heart... and then heal it. 💙 When Tate meets Miles, it's not love at first sight. It's an arrangement. No promises. No emotions. Just passion.🔥 But what happens when hearts get involved? 😢💏 📚 Why you should read it: 💥 Emotional rollercoaster 💬 Deep, raw storytelling 👩❤️👨 Intense chemistry 😢 A love story you’ll never fo…
❝ It is difficult for a woman to define her feelings in language which is chiefly made by men to express theirs. ❞ — Thomas Hardy, Far from the Madding Crowd (1874) 💭 Bathsheba points out that our vocabulary for feeling was shaped by one group of speakers. It is a Victorian remark about language and power that still applies. #voice #ClassicLiterature · @EnglishNovels_Classic
❝ …for the growing good of the world is partly dependent on unhistoric acts; and that things are not so ill with you and me as they might have been, is half owing to the number who lived faithfully a hidden life, and rest in unvisited tombs. ❞ — George Eliot, Middlemarch (1872) 💭 Eliot ends by crediting the unrecorded people who quietly did their duty. Most of us will never make history, but our small daily acts st…
❤4
❝ Work consists of whatever a body is obliged to do, and that Play consists of whatever a body is not obliged to do. ❞ — Mark Twain, The Adventures of Tom Sawyer (1876) 💭 Twain says the difference between toil and fun is obligation, not the activity itself. That helps explain why a hobby can turn into a chore once it becomes a duty. #work #ClassicLiterature · @EnglishNovels_Classic
Showing the 12 most recent of 84 posts we hold for @EnglishNovels_Classic. 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.
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.
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
Read from Telegram’s recommendation API, most recently 20 September 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.
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.
This channel appears in 20 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“English Novels” (@EnglishNovels_Classic), 23,136 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/EnglishNovels_Classic.
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.