แแตแจแฐแฑแ แขแตแแ แแขแณ แจแจแจแฑ แฐแแชแแนแ แฅแแฐ แแแ แแแด 22 / 2018 แข.แ แ แฐแแ แแแณ แ แตแแญแแ ๐๐๐ https://t.me/alif_jema
๐3

Channel
@alif_jema
On this record: Topic ยท Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Posts ยท Citations ยท Cite this entry
4,492subscribers
+19 since we began measuring on 28 August 2026
Risers and fallers across the register ยท movement among entries of 3,162โ10,000.
| Telegram ID | -1002418773591 |
|---|---|
| Type | Channel |
| Username | @alif_jema |
| Created | Between 1 September 2024 and 31 March 2025 โ estimated from Telegramโs id allocation, not measured. How this range is calculated. |
| First recorded | 29 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/alif_jema |
Religion โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelโs own recent posts on 13 September 2026 and assigned it the closest of 31 fixed categories, at 92% confidence. This is a modelโs 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 โ it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 14:00 | 4,492 | -5 |
| 13 Sept 2026, 18:59 | 4,497 | -6 |
| 10 Sept 2026, 08:18 | 4,503 | +17 |
| 4 Sept 2026, 17:17 | 4,486 | +7 |
| 1 Sept 2026, 01:44 | 4,479 | -9 |
| 29 Aug 2026, 10:43 | 4,488 | +15 |
| 29 Aug 2026, 00:00 | 4,473 | no change |
| 28 Aug 2026, 23:45 | 4,473 | first reading |
20 posts held, back to 11 August 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 1 page of Telegramโs 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) รท views โ note the denominator is views, not subscribers. Telegramโs 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.
| Window | Rolling 30 days ยท latest post in window 28 August 2026 |
|---|---|
| Posts held | 20 (11 August 2026 โ 28 August 2026) |
| Views total | 366 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 29 Aug 2026, 00:00 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 13 videos with a duration reading, out of the posts we hold for this channel โ not this channelโs 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 Telegramโs own rounded chrome, so it carries no โ mark.
90 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 72.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ๐ | 65 | 72.2% | |
| ๐ | 17 | 18.9% | |
| ๐ฏ | 5 | 5.56% | |
| ๐ | 1 | 1.11% | |
| ๐ | 1 | 1.11% | |
| ๐ | 1 | 1.11% |
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 16 of the 20 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 90 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 20 most recent posts we hold, published 11 August 2026 to 28 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.
แแตแจแฐแฑแ แขแตแแ แแขแณ แจแจแจแฑ แฐแแชแแนแ แฅแแฐ แแแ แแแด 22 / 2018 แข.แ แ แฐแแ แแแณ แ แตแแญแแ ๐๐๐ https://t.me/alif_jema
๐3
แ แฐแแ แ แแญแฉแ แแซแ แแฑแแ แแ แจแซแตแ แแญแจแแ แขแตแแ แฆแแญแ แแตแจแณ แจ แแขแฐแฑแ แแซแแซ แฐแจแต แจแจแจแฑ แแต แฅแ แฅแแ แฐแแชแแนแ แ แแ 22 แแแตแ แแฌ แแณ แฅแแฐ แแแ แจแแฝแฑ 2:30 แแแฎ แฐแแชแแนแ แตแแแซแตแแญแ แ แฅแแฑ แฅแแฒแแ แฅแ แจแแฎแแซแ แณแณแ แฅแแฒแแ แ แญแฅแญ แ แญแฐแแณแ แข แจแญแฅแญ แกแตแณแแฝ โ แกแตแณแ แแแ โ แกแตแณแ แ แฅแฑแ แแณแ โ แกแตแณแ แ แแแญ โ แกแตแณแ แ แฅแฑ แจแ แแ โ แกแตแณแ แ แก แแแแต โ แกแตแณแ แ แก แ แฅแฐแแ แญแแแ แณแ แฆแณ แ แขแ แคแณแฝแ แแ แแแ แแ แแแด 22 แตแ แต แจแแฝแฑ 2:30 แแญแจแแ แขแตแแ แฆแแญแ แจแแญแ แต แแแจแ แจแณแฝ แฃแแ แแแญ แแฐ แขแ แคแณแฝแ แแซ แ แแแต แญแ แ แแฉ แแฎแแซแ แตแณแฐแ แแแต แ แญแฅโฆ
๐3
แแแฝแ แจแแญแ แ แแช แแ แจแแซแแ แจแแ แซ แแ แจแฐแแจแ แ แ แจแซแ แจแฐแแแ แแแ แฅแแแ แ แฅแญแแฅแ แ แแ แแญแ แแ แแจแต แซแฐแจแแ แต แแแญ แแตแฅ (แแฃแจแญ)แธแญแฉ แจแ แ แแแ แแ แ แแต แแตแแ แฐแแ แญแแ แ แจแซ แจแแซแแแ แแญแ แ แจแแ แซแต แจแแตแฐแแฐแแ แจแแตแซแต แแญ แฃแแ แจแ แ แ แแแแแต แแ แ แแญ แแ แตแแแ แจแแญแ แ แแช แแแ แซแณแแแแ แ แแฒแต แแ แฅแแณ แขแแ แแแตแซแฝแ แแแ แแแต แจแฐแแฃแฝ แแฝแข. *แแญแ แแฝแ แฅแแญแแต*
๐5
โ๏ธแแญแ แ แแณแแนแ แ แแ แ แ แแแต แแตแฅ แ แ แญแแธแ แจแแจแณแธแ แ แแต แฅแแ แฑแแซ แแญ แ แแฃแธแ แฅแแฒแซแฉแต แซแฐแญแแธแแแข แแญแ แ แฅแ แ แตแแ แจแแ แจแแณแฝแ แฐแ แแญ แแ!! https://t.me/alif_jema
๐5
https://t.me/alif_jema
๐6
Video, posted without a caption
๐6
แ แฐแแ แ แแญแฉแ แแซแ แแฑแแ แแ แจแซแตแ แแญแจแแ แขแตแแ แฆแแญแ แแตแจแณ แจ แแขแฐแฑแ แแซแแซ แฐแจแต แจแจแจแฑ แแต แฅแ แฅแแ แฐแแชแแนแ แ แแ 22 แฅแแฐ แแแ แจแแฝแฑ 2:30 แแแฎ แฐแแชแแนแ แตแแแซแตแแญแ แ แฅแแฑ แฅแแฒแแ แฅแ แจแแฎแแซแ แณแณแ แฅแแฒแแ แ แญแฅแญ แ แญแฐแแณแ แข แฆแณ แ แขแ แคแณแฝแ แแ แแแ แแ แแแด 22 แตแ แต แจแแฝแฑ 2:30 แแญแจแแ แขแตแแ แฆแแญแ แจแแญแ แต แแแจแ https://t.me/alif_jema
๐5๐2
Video, posted without a caption
๐7
Video, posted without a caption
๐3
https://t.me/alif_jema
๐3
https://t.me/alif_jema
๐8
๐๐ฒแ แ แขแตแแ แฆแแญแ แจแแญแ แต แแแจแ๐ ๐แ แแแญ แแตแฅ แจแแแญ แแญ แ แ แแชแซ :แ แ แแฎแ: แ แ แจแฅ แแแซแต: แฅแแตแแ แ แแแ แ แแ แแแตแแ แแแตแแ แคแฐแฐแฆแฝ แฅแ แแแญแ แ แแณแแฝ แ แแ แจแแจแ แฅแตแ ๐ข๐ข แจแแแฐแฃแธแ แ แแแแแถแฝ ๐ โ๏ธแแขแณ โ๏ธแแญแ แ โ๏ธแฐแ แแต โ๏ธแชแณแฅ โ๏ธแฒแซ ๐ด 0 แญแแต:- แแแแช แแขแฐแฑ แแซแแซ ๐ด1แ แญแแต :-แแแญ แแญแ แแ แฅแซแช แ แฐแ แแต แแแ แฅ ๐ด2แ แญแแต :- แแญแ แ + แฐแ แแต ๐ด3แ แญแแต :- แแญแ แ + แฐแ แแต + แชแณแฅ + แฒแซ โ๏ธแจแ แแ แฅแตแจ แ แแ แแแแ แจแฅแตแ แญแแ แซแแจแ ๐แแแแฝแ แแฉ แจแแ แจแแญแ แ แฅแ แฐแญแขแซ แตแแ แญแต แฅแแฐแฃแแ โ๏ธแ แ แแจแ แแแ โ๏ธแ แแฉ แ แแซแจแฅ โ๏ธแ แจแตแแโฆ
๐7
Showing the 12 most recent of 20 posts we hold for @alif_jema. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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.
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.
Named by 1 registered channel โ 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 โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs 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 โ 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 โ the โNamed by N registered channelsโ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 17 September 2026 โ this entry's latest reading, not the date you are reading this.
โ๐ทแแญแแ แจแแฅ แฅแญแแ Al Etqan ๐๐๐๐๐๐ ๐๐๐๐๐ ๐น๐นโ (@alif_jema), 4,492 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/alif_jema.
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 ยท 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.