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Created
Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 64% 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
63 measurements spanning 97 days, net -258. 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 14,050–14,395 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
11 Nov 2026, 22:09
14,097
+7
10 Nov 2026, 02:21
14,090
-9
8 Nov 2026, 15:45
14,099
-8
6 Nov 2026, 08:20
14,107
-3
5 Nov 2026, 06:47
14,110
-5
4 Nov 2026, 08:46
14,115
-4
3 Nov 2026, 07:19
14,119
-2
2 Nov 2026, 06:34
14,121
+3
1 Nov 2026, 06:56
14,118
-3
31 Oct 2026, 09:21
14,121
+14
30 Oct 2026, 06:51
14,107
-5
29 Oct 2026, 04:26
14,112
-2
28 Oct 2026, 02:49
14,114
-5
26 Oct 2026, 23:09
14,119
+8
25 Oct 2026, 19:59
14,111
-4
24 Oct 2026, 19:10
14,115
-2
23 Oct 2026, 20:50
14,117
-6
22 Oct 2026, 22:56
14,123
+1
20 Oct 2026, 17:48
14,122
+2
19 Oct 2026, 17:27
14,120
first reading
Engagement
17 posts held, back to 28 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 73 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.79%
avg views ÷ 14,097 subscribers
Avg views / post
1,100
12 posts measured
Reaction rate
0.728%
reactions ÷ views · ER floor
Posts in window
12
of 17 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
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
17 (28 July 2026 – 11 November 2026)
Views total
13,186
Reactions total
96
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 20:11 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
Videos
≈60
Links
≈53
Lifetime counters from Telegram’s own channel header, read 13 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
154 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 64.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
99
64.3%
👍
24
15.6%
🤣
7
4.55%
👌
6
3.90%
😁
5
3.25%
🥰
5
3.25%
👏
3
1.95%
🙏
3
1.95%
😍
1
0.649%
😢
1
0.649%
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 17 of the 17 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 154 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 28 July 2026 to 11 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: 1 of 12 posts held from the last 30 days (8.33%) 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).
📉 FREAKONOMICS by Steven D. Levitt & Stephen J. Dubner 📉
🪙 What if the world doesn't work the way you think it does?
Why do people cheat? How do incentives shape human behaviour? And what hidden truths can numbers reveal about everyday life?
A fascinating journey into economics, psychology, and the unexpected forces behind human decisions.
🫰 Think differently. Question everything. Discover the hidden side of ever…
🎰 THE GREAT GATSBY – F. SCOTT FITZGERALD 🎰
✨ Some dreams are beautiful, but not everything we desire is meant to be ours.
💲Set in the glamorous 1920s, the novel follows Jay Gatsby, a mysterious millionaire who throws extravagant parties in the hope of reuniting with Daisy Buchanan, the woman he has loved for years.
💲Behind the luxury, wealth, and glittering parties lies a story of obsession, love, ambition, betray…
🚀 The Complete Skyward Collection by Brandon Sanderson 🚀
🚀 Humanity is fighting for survival. A young pilot is determined to change its fate. And beyond the stars lies a mystery bigger than anyone could imagine.
🚀 Welcome to Skyward — Brandon Sanderson's thrilling science-fiction universe, where courage, friendship, secrets, and epic space battles collide.
🚀Main Series
1. Skyward
2. Starsight
3. Cytonic
4. Defian…
🌟 WHITE MALICE By Susan Williams🌟
What if Africa's independence was never entirely free from foreign interference?
Behind the celebrations of independence, powerful foreign interests were still shaping Africa's political future.
In White Malice, Susan Williams uncovers the hidden history of American intervention in Africa during the Cold War, revealing the CIA's involvement in African politics, the struggle for po…
🌎 HOW EUROPE UNDERDEVELOPED AFRICA ✍️ Walter Rodney 🌎
Was Africa naturally poor, or was it made poor?
🦁 A powerful and eye-opening book that challenges everything you thought you knew about Africa's history and Europe's prosperity.
Walter Rodney explores how slavery, colonialism, resource extraction, and economic exploitation shaped Africa's development while contributing to Europe's wealth.
❤️🔥 What will you di…
👀 1984 by George Orwell 👀
👀 “Big Brother is watching you.” 👀
😳 What if the government controlled everything you saw, heard, believed, and even remembered?
👀 Welcome to 1984, a masterpiece of dystopian literature where truth is manipulated, freedom is disappearing, and independent thinking becomes an act of rebellion.
👀Why read it?
✅ Understand propaganda and manipulation.
✅ Explore the dangers of censorship and …
📘 BUSINESS @ THE SPEED OF THOUGHT By Bill Gates.❤️
🚀 What if you could run your business with the speed of thought?
Bill Gates explores how technology, information, and digital innovation can transform the way businesses operate and compete.
⭐ Discover how to:
✅Make smarter, faster business decisions.
✅Use information as a competitive advantage.
✅Improve efficiency and productivity.
✅Build a business ready for th…
ULYSSES by James Joyce
What if an ordinary day could contain an entire universe?
What can happen in a single ordinary day? In Ulysses, James Joyce turns just 24 hours in Dublin into an extraordinary exploration of human life.
What makes this book special?
🚀 A masterpiece of modern literature.
🤯 Deep psychological exploration of the human mind.
💭 Experiments with language, storytelling, and imagination.
🌟 Inspi…
🩸 Gold Rush Ranch Series by Elsie Silver 🩸
Gold Rush Ranch is a contemporary romance series set in a small town in British Columbia, revolving around a horse-racing ranch, family connections, and different romantic relationships.
💖 Four interconnected stories, four different couples, and plenty of romance to keep you turning pages.
👁The collection includes 4 main novels
🔢Off to the Races
🔢A Photo Finish
🔢The Fron…
❤5😁2👍1🥰1😍1
Signed ኖኀ Book Delivery
Showing the 12 most recent of 17 posts we hold for @noahbookdelivery. 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.
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 3 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.
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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“ኖኅ Book Delivery” (@noahbookdelivery), 14,097 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/noahbookdelivery.
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.