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Channel

zagidullinildar книги на арабском

@kitap_kazan

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

330subscribers

+0 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001244033552
TypeChannel
Username@kitap_kazan
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/kitap_kazan

Growth

33010 Aug 2026, 13:46 — 330 subscribers10 Aug 2026, 23:43 — 330 subscribers10 Aug 2026, 13:4610 Aug 2026, 23:43
2 measurements taken within a single day. 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 329–331 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 23:43330no change
10 Aug 2026, 13:46330first reading

Engagement

18 posts held, back to 14 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
32.4%
avg views ÷ 330 subscribers
Avg views / post
107
1 post measured
Reaction rate
1.87%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 24 July 2026
Posts held18 (14 May 202624 July 2026)
Views total107
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 13:46 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.

Reaction mix

20 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍840.0%
735.0%
🔥315.0%
👀15.00%
🙏15.00%

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 8 of the 18 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 14 May 2026 to 24 July 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

13 Jul 2026, 19:03 UTC357 views5 reactionsread 10 August 2026
Photo

📢 Представляем вашему вниманию новую книгу: «Абу Ханифа: знаток хадисов и великий правовед». Это не просто перечисление биографических дат. Данный труд ставит перед собой важную задачу — восстановить историческую справедливость и всесторонне раскрыть масштаб личности Абу Ханифы. Главные особенности издания: 1. Книга на фактах доказывает, что имам совмещал в себе глубочайшие познания как в исламском праве (фикх), т

4🔥1

24 May 2026, 18:21 UTC379 views0 reactionsread 10 August 2026
Photo

📢 В продажу поступила легендарная книга! «Муфрадат» ар-Рагиба аль-Исфахани — лучший арабско-арабский словарь для понимания слов Корана. 📚 Что это такое? Это не просто словарь. Это энциклопедия коранической лексики. Автор разбирает каждое слово: от его корня до тончайших смыслов в контексте аятов. Почему эту книгу называют «золотым стандартом» толкования Корана? ✔ Автор — выдающийся учёный ар-Рагиб аль-Исфахани. ✔

20 May 2026, 15:39 UTC347 views5 reactionsread 10 August 2026

📢 Уходим с маркетплейсов Ассаламу алейкум, друзья! Маркетплейсы продолжают повышать комиссии, и это становится совсем невыгодно как для нас, так и для вас — ведь издержки всегда влияют на итоговую цену. Поэтому мы приняли решение: теперь приобрести наши книги можно только в интернет-магазине. Там мы сможем удерживать для вас честные цены! Мы подготовили три удобных раздела для заказа (переходите по ссылкам): 📗 А

👍32

17 May 2026, 06:34 UTC316 views2 reactionsread 10 August 2026
Photo

Для кого эта книга? Этот труд выходит далеко за рамки интересов исключительно последователей маликитского мазхаба. Книга станет настоящей находкой для: • Студентов и исследователей, глубоко изучающих усуль аль-фикх и сравнительное исламское право. • Академических исследователей, магистрантов и докторантов, которые пишут диссертации или научные статьи. • Будущих авторов: данную работу можно смело использовать как мето

🔥2

17 May 2026, 06:33 UTC251 viewsread 10 August 2026
Photo

Книга предлагает детальное сравнение этих двух уникальных методологий. Она раскрывает, как подходы Ибн Хазма и Ибн Абд аль-Барра повлияли на историческое развитие исламского права и какой след они оставили в различных правовых школах (мазхабах). Отличный выбор для студентов требующих знаний и всех, кто глубоко интересуется исламским правом и сравнительным фикхом!

17 May 2026, 06:31 UTC202 views1 reactionsread 10 August 2026
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• Ибн Хазм славился своим строгим подходом с глубоким упором на священные тексты. Он считал буквальный (явный) смысл текстов абсолютной основой для аргументации и предпочитал не прибегать к расширительному иджтихаду, если текст был предельно ясен. При анализе он строго опирался на концепцию «захир» (буквального понимания) и полностью отвергал метод суждения по аналогии (кияс) при наличии текста, указывающего на конкр

🙏1

17 May 2026, 06:30 UTC190 viewsread 10 August 2026
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Рады сообщить, что у нас в наличии появилась книга «Методология фикхового аргументирования у Ибн Хазма и Ибн Абд аль-Барра». Этот труд посвящен глубокому изучению путей и методов, которым следовали эти два выдающихся факиха при вынесении правовых решений. Книга наглядно показывает, как каждый из ученых подходил к шариатским доказательствам и как именно использовал их для формирования своих взглядов в фикхе.

15 May 2026, 11:19 UTC234 viewsread 10 August 2026
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Эта книга — не просто ответ оппонентам, это незаменимый интеллектуальный щит для каждого мусульманина, студента, исследователя религий и любого человека, ищущего истину. Вооружитесь знаниями и станьте свидетелем торжества истины над ложью! Цена:1700 ЗАКАЗАТЬ КНИГУ | СВЯЗАТЬСЯ С МЕНЕДЖЕРОМ: ▪️ @Ibra016716

15 May 2026, 11:19 UTC190 viewsread 10 August 2026
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Почему эта книга должна быть в вашей библиотеке? • Сокрушительные аргументы: Детальный разбор и убедительное опровержение лингвистических, исторических и смысловых ошибок в текстах самозванца. • Доказательство чуда: Яркая демонстрация неподражаемости (и'джаз) Священного Корана, его литературного совершенства и божественной мудрости. • Укрепление веры (имана): Мощные доводы, которые рассеивают любые сомнения, навязыв

Showing the 12 most recent of 18 posts we hold for @kitap_kazan. 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.

Citation-graph rank

Citation-graph rank — 389,403 of 1,549,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“zagidullinildar книги на арабском” (@kitap_kazan), 330 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/kitap_kazan.

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.