Religion — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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 why it has no browse page of its own yet.
Growth
13 measurements spanning 39 days, net +18. 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 2,196–2,220 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 04:20
2,217
+6
13 Sept 2026, 11:16
2,211
+2
9 Sept 2026, 08:20
2,209
-3
8 Sept 2026, 14:22
2,212
no change
4 Sept 2026, 10:38
2,212
+2
28 Aug 2026, 17:55
2,210
+1
25 Aug 2026, 20:27
2,209
-6
22 Aug 2026, 10:16
2,215
+1
19 Aug 2026, 08:35
2,214
+1
16 Aug 2026, 14:58
2,213
+9
12 Aug 2026, 20:44
2,204
+3
10 Aug 2026, 00:51
2,201
+2
9 Aug 2026, 14:15
2,199
first reading
Engagement
20 posts held, back to 25 June 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.4%
avg views ÷ 2,217 subscribers
Avg views / post
497
3 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
3
of 20 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 4 September 2026
Posts held
20 (25 June 2026 – 4 September 2026)
Views total
1,492
Reactions total
15
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Sept 2026, 14:22 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
358 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 88.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
318
88.8%
🥰
27
7.54%
👍
7
1.96%
💯
3
0.838%
👏
1
0.279%
🔥
1
0.279%
😍
1
0.279%
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 20 of the 20 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 358 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 25 June 2026 to 4 September 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.
🌱
🌱 هل تساءلتِ يوماً إذا كنتِ جاهزة للزواج؟ ومتى يجب أن أتوقّف قليلاً قبل أن أمضي بهذه الخطوة؟ هل تصوّركِ عن الزواج صحيح أم فيه خلل؟
🌱 في هذه الدورة سأرافقكِ كأخت لكِ خاضت تجربة الزواج، وآتاها الله بعضا من العلوم في هذا الملف لتعطيكِ صورة واقعية عن الزواج كما صوّرها الإسلام، واحتياجات كلا الزوجين من بعضهما البعض، ومهارات جوهرية لا بدّ من اكتسابها لإدارة هذه العلاقة (نتحدّث عن ثلاث مهارات بشكل تفصيلي)، ثم ننتقل للح…
🌱
📝 خواطر أمومتي 📝
🌿مجالس دورية تفاعلية حول التربية وتحدياتها🌿
🌸 مع: نورا سوبره
💌 إلى كل أم ترى الكثير من النماذج التربوية السيئة من حولها
فتسعى لطلب العلم حتى تربي ذرية مؤمنة سوية
لكنها تفتقد إلى نماذج تربوية صالحة
ترى فيها تطبيقاً عملياً واقعياً لما تعلمته من كلام نظري
وترى فيها ثمرات هذا الغرس
إليكِ كانت هذه المجالس
ليست دورة تربوية تقليدية
ولا محاضرة نظرية
بل هي يد أمدها إليك لنعقد مجالس نتشا…
📍أرفق لكنّ رابطا يحوي على تلخيصات لقاءات دورة "سوار العروس" التي أطلقتها منصّة أساور -جزاهم الله خيرا-؛ علّ يكون فيه النفع.
ولكنّي لم أطّلع مليّا على التلخيصات التابعة للقاءات التي قدمتُها في الدورة، لذلك قد يحتاج إلى المراجعة والعودة للمحاضرات على اليوتيوب لتكتمل الصورة.
أسأل الله النفع والقبول 🌹
#قارورة_التربية #بشرى_خير
✨✨✨
مذ أن علمتُ بخبر حملي -وربما قبل ذلك بقليل-، قد اتخذت قراراً بأن أوسّع دائرة إنجازي لتخرج من حيّز الإنجازات الرقمية كقراءة الكتب والاستماع للمحاضرات وتقديم الدورات، إلى رحاب إنجازات من نوع آخر. قد أوليتُ صحتي الجسدية والنفسية اهتماما بالغا، وقررتُ أن أُبطئ قليلا من إيقاع حياتي المتسارع؛ خصوصاً أنّ جبلّتي تميل إلى السرعة في الإنجازات والحياة عموماً. فشرعتُ في تعلّم رعاية النباتات، وأضفتُ…
#قارورة_التربية
لماذا يُستحبّ التأذين في أذن المولود؟
وسرُّ التأذين -والله أعلم-: أن يكون أول ما يقرع سمع الإنسان كلماته؛ (أي: الأذان) المتضمنة لكبرياء الرب وعظمته، والشهادة التي أول ما يدخل بها في الإسلام، فكان ذلك كالتلقين له شعار الإسلام عند دخوله إلى الدنيا؛ كما يلقن كلمة التوحيد عند خروجه منها، وغير مستنكر وصول أثر التأذين إلى قلبه وتأثيره به، وإن لم يشعر، مع ما في ذلك من فائدة أخرى، وهي: هروب الشيطان من كلمات…
#قارورة_التربية
يُستحبّ البشارة لمن وُلد له ولد وتهنئته {فنادته الملائكة وهو قائم يصلي في المحراب أنّ الله يبشرك بيحيى}. من كتاب "تحفة المودود في أحكام المولود"
ولكن ما هو الفرق بين البشارة والتهنئة؟
التعليقات مفتوحة :)
❤9
Signed حنان فراج
Showing the 12 most recent of 20 posts we hold for @ErfikBilQawarir. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
#قارورة_الاختبار
{وَمَا كَانَ لِمُؤْمِنٍ وَلَا مُؤْمِنَةٍ إِذَا قَضَى اللَّهُ وَرَسُولُهُ أَمْرًا أَن يَكُونَ لَهُمُ الْخِيَرَةُ مِنْ أَمْرِهِمْ} نزلت هذه الآية في أمّ من أمهات المؤمنين، وكانت امرأة فيها حدة، وتعمل بيدها؛ فمن هي؟
عائشة بنت أبي بكر2%
حفصة بنت عمر13%
صفية بنت حيي10%
زينب بنت جحش75%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 25 June 2026 to 4 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 1 registered channel — 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“قوارير” (@ErfikBilQawarir), 2,217 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/ErfikBilQawarir.
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.
