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Channel

QURAN CENTER

@xalima02

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

6,759subscribers

+8 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001162913628
TypeChannel
Username@xalima02
Created16 June 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/xalima02

Growth

6,7516,7646,757.56 August 2026 — 6,751 subscribers6 August 2026 — 6,751 subscribers9 August 2026 — 6,764 subscribers12 August 2026 — 6,760 subscribers15 August 2026 — 6,759 subscribers6,7596 August 202615 August 2026
5 measurements spanning 9 days, net +8. 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 6,749–6,766 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 17:346,759-1
12 Aug 2026, 01:226,760-4
9 Aug 2026, 07:526,764+13
6 Aug 2026, 10:216,751no change
6 Aug 2026, 10:036,751first reading

Engagement

15 posts held, back to 19 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.0%
avg views ÷ 6,759 subscribers
Avg views / post
1,290
15 posts measured
Reaction rate
0.59%
reactions ÷ views · ER floor
Posts in window
15
of 15 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. It is computed over the 10 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held15 (19 July 202611 August 2026)
Views total19,280
Reactions total77
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 02:49 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

Video runtime
1m 29s
Average length
1m 29s

Measured directly from 1 video 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.

Reaction mix

77 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 84.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6584.4%
custom 528316557776075164645.19%
🔥33.90%
custom 528523392234135919022.60%
😍22.60%
💯11.30%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 10 of the 15 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 77reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 19 July 2026 to 11 August 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

11 Aug 2026, 05:49 UTC400 viewsread 12 August 2026
Photo

Донаборы на уроки Корана в школе Quran center! Старт указан. В любой группе вы можете проходить следующее: 1. Хифз - заучивание Корана с исправлением чтения + повторение. 2. Тасхих - исправление чтения без заучивания. 3. Повторение - повторение сур, которые забыли + исправление чтения. ❗️Курс подходит только для тех, кто владеет беглым чтением Корана и не имеет множества ошибок в соединении слов и в таджвиде. 📌

3 Aug 2026, 06:00 UTC≈1,300 views11 reactionsread 12 August 2026

Ассаламу алейкум. Хотела спросить, можно ли сдавать «Тасхих» и «Хифз», например, 3 раза «Тасхих» и 2 дня «Хифз», или же на одном уроке полстраницы «Тасхих» прочитать и где-то 3 строки «Хифз» сдать, но не больше одной страницы в день, конечно. وعليكم السلام ورحمة الله Да, конечно

11

31 Jul 2026, 18:04 UTC≈1,200 views3 reactionsread 12 August 2026
Photo

🔠🔠🔠🔠🔠 🔠🔠🔠🔠🔠 2 том | 4 глава Устаза Манар ~ арабка Время: 18:00 (1 ч) Оплата за 20 уроков | 4500₽ Расписание: Пн. Вт. Ср. Чт. Пт. Также проходят грамматику, сарф, и красноречие. ⏺️Для записи пишите t.me/QuranCenter_bot

custom 52831655777607516463

23 Jul 2026, 12:20 UTC≈1,600 views5 reactionsread 12 August 2026
Photo

🩵🩵 🩵🩵 Отзыв ученицы 📎 #отзывыqurancenter

5

23 Jul 2026, 07:01 UTC≈1,460 viewsread 12 August 2026

🔤🔤🔤🔤🔤🔤🔤 Если у вас есть вопросы, касающиеся повторения Корана, его заучивания, а также наборов уроков или школьных вопросов, вы можете задать их в анонимном боте. 🗺️ t.me/voprosy?start=ohr84j

23 Jul 2026, 06:55 UTC≈1,310 views1 reactionsread 12 August 2026
Photo

🌟🌸 Отзывы наших учениц 🌟💙 #отзывыqurancenter

custom 52852339223413591901

23 Jul 2026, 06:36 UTC≈1,250 views1 reactionsread 12 August 2026
Photo

☁️🌟 Отзывы наших учениц 🪶 #отзывыqurancenter

1

22 Jul 2026, 08:48 UTC≈1,160 views16 reactionsread 12 August 2026

السلام عليكم ورحمة الله وبركاته С недавних пор начала заучивать Коран в вашей школе. Заучивание идет очень медленно, работа, домашние дела очень отвлекают. Чаще всего учу суры пока что-то делаю дома. Хотела бы попросить у вас совет, как лучше закреплять суры? Я могу сдать суру и через несколько дней уже забыть некоторые аяты из нее, а так как учу подряд, повторяю суры не каждый день. وعليكم السلام ورحمة الله وبركاته

16

Showing the 12 most recent of 15 posts we hold for @xalima02. 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 — 190,523 of 1,481,502entries 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

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

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.

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.

النحو المُيَسَّر لخالد عبد العزيز
@khaledabdelazizm · 106,104
Telegram ranks this channel #62 of 81 here — alongside 80 others — read 15 August 2026
برنامج صحِّحي تلاوتك (للنساء)
@HolyMosq · 165,782
Telegram ranks this channel #86 of 92 here — alongside 91 others — read 13 August 2026

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.

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

“QURAN CENTER” (@xalima02), 6,759 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/xalima02.

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.