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Channel
@booksfromtaisa
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
10,623subscribers
-314 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002117254742 |
|---|---|
| Type | Channel |
| Username | @booksfromtaisa |
| Description | ౨ৎ Електронні книги українською та англійською мовами,аудіокниги Наш бот: @booksfromtaisaBot За подробицями звертатися до @admitaisia ТікТок - https://www.tiktok.com/@bbook.ts?_t=8p0rFHAa9Y5&_r=1 Реклама - https://t.me/advertisingfromtaisa |
| Created | Between 1 November 2023 and 31 May 2024 — 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 | 57 |
| Confirmed unchanged | 2 times, most recently 8 November 2026 |
| On Telegram | t.me/booksfromtaisa |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 |
|---|---|---|
| 6 Nov 2026, 20:47 | 10,623 | -6 |
| 5 Nov 2026, 22:36 | 10,629 | +1 |
| 5 Nov 2026, 00:50 | 10,628 | -3 |
| 3 Nov 2026, 23:37 | 10,631 | +19 |
| 3 Nov 2026, 02:19 | 10,612 | -2 |
| 2 Nov 2026, 01:49 | 10,614 | -4 |
| 31 Oct 2026, 22:21 | 10,618 | -2 |
| 30 Oct 2026, 20:36 | 10,620 | -4 |
| 29 Oct 2026, 17:29 | 10,624 | -1 |
| 28 Oct 2026, 14:27 | 10,625 | +1 |
| 27 Oct 2026, 12:30 | 10,624 | -5 |
| 26 Oct 2026, 08:57 | 10,629 | +1 |
| 25 Oct 2026, 12:27 | 10,628 | +2 |
| 24 Oct 2026, 10:50 | 10,626 | -7 |
| 23 Oct 2026, 08:36 | 10,633 | -4 |
| 22 Oct 2026, 08:05 | 10,637 | -14 |
| 21 Oct 2026, 03:30 | 10,651 | -2 |
| 20 Oct 2026, 04:09 | 10,653 | -3 |
| 19 Oct 2026, 05:19 | 10,656 | -4 |
| 18 Oct 2026, 03:16 | 10,660 | first reading |
70 posts held, back to 5 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 50 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 20 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 70 (5 August 2026 – 7 November 2026) |
| Views total | 26,612 |
| Reactions total | 476 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 09:16 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. 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.
Measured directly from 15 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.
1,468 reactions across 69 posts, in 16 distinct kinds. The most used accounts for 80.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,182 | 80.5% | |
| 🍓 | 151 | 10.3% | |
| 😍 | 30 | 2.04% | |
| 🥰 | 22 | 1.50% | |
| 👍 | 19 | 1.29% | |
| 🔥 | 19 | 1.29% | |
| 💘 | 12 | 0.817% | |
| 🤩 | 9 | 0.613% | |
| ❤🔥 | 7 | 0.477% | |
| 💔 | 6 | 0.409% | |
| 💋 | 4 | 0.272% | |
| 🥴 | 3 | 0.204% | |
| 🎃 | 1 | 0.068% | |
| 🎄 | 1 | 0.068% | |
| 🥱 | 1 | 0.068% | |
| 🦄 | 1 | 0.068% |
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 69 of the 70 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 1,468 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 5 August 2026 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @booksfromtaisa. 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 70 most recent posts we hold for this entry, published 5 August 2026 to 7 November 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.
Telegram’s own ‘edited’ marker: 0 of 21 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).
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❤11🔥4😍1
Крістіна Монінгер Серія: Розсікаючи хвилі 〰️〰️Книга 1: Одна секунда, щоб закохатися Ейвері & Джейк 💙Я — уламок, який винесло на берег💙 💙Другий шанс у коханні 💙Від друзів до коханців 💙Рок-зірка 💙Нерозділене кохання 💙Таємниці минулого 💙Зникнення подруги 💙Літній роман Молоді, дикі, відчайдушні Ейвері, Ізабелла, Одіна, Лі та Джозі — найкращі подруги відтоді, як познайомилися в серфінг-таборі. Їх…
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Пенелопа Дуглас Серія: Фол Евей 🤩🤩 🤩🤩Книга 1: Булер 🤩🤩 💖— Я змушу тебе заплакати дуже й дуже скоро. — Ти вже змусив мене плакати незліченну кількість разів. Вона повільно показала йому середній палець і запитала: — Знаєш, що це? І витерла ним край ока: — Це я витираю останню сльозу, яку ти коли-небудь побачиш.💖 ⚪️Від ненависті до кохання ⚪️Колишні найкращі друзі ⚪️Роман із булером ⚪️Шкільний роман ⚪️Перше кохання ⚪️…
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Сара Шпрінц Серія: Академія Данбридж 🫐🫐🫐Книга 1: Куди завгодно Емма & Генрі 🫐Він міг би бути будь-де, але він тут, зі мною…🫐 📌Заборонене кохання 📌Він має дівчину 📌Новенька в елітному інтернаті 📌Шотландський інтернат 📌Таємниці минулого 📌Сімейні секрети 📌Повільний розвиток стосунків 📌Нічні прогулянки 📌Таємні вечірки 📌Пошук себе Емма вирушає до Шотландії з однією метою: знайти свого батька, який покинув сім'ю…
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🤩Кайла Едвардс 🤩Серія: Дім дияволів 🤩 🤩Книга 1: Місто богів та монстрів ⚫️Диявол, який тепер став її янголом⚫️ 📌Людина серед надприродних істот 📌Міське фентезі 📌Небезпечний герой 📌Вимушений союз 📌Повільний розвиток стосунків 📌Він закохується першим 📌Він закохується сильніше 📌«Торкнися її — і ти труп» 📌Захисник і його підопічна 📌Заборонене кохання 📌Знайдена сім’я 📌Магічні здібності 📌Таємниці минулого 📌Б…
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🌟🌟🌟«Я від неї шаленію» 🌟🌟🌟Автор: Келлі Квіндлен 🌟🌟🌟Серія: Одиночна ❤️— Я тебе ненавиджу, — кажу я. А потім цілую її, цілую і цілую❤️ 🔴Від ворогів до коханок 🔴Фейкові побачення 🔴Вимушена близькість 🔴Баскетболістка та чирлідерка 🔴Шкільний ромком 🔴Колишня токсична дівчина 🔴Від ненависті до кохання 🔴Від фіктивних стосунків до справжніх 🔴Один автомобіль на двох 🔴Повільне зближення 🔴Перше кохання 🔴Маленьке міст…
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Showing the 12 most recent of 70 posts we hold for @booksfromtaisa. 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.
We recorded 2 posts on @booksfromtaisa 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.
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.
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 2 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“𝐁𝐨𝐨𝐤𝐬 𝐟𝐫𝐨𝐦 𝐓𝐚𝐢𝐬𝐚” (@booksfromtaisa), 10,623 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/booksfromtaisa.
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.