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Channel

منارة العلم | Beacon of Science

@bnsciences

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

8,694subscribers

+403 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-1002057602785
TypeChannel
Username@bnsciences
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/bnsciences

Topic

Science — 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.

Growth

8,2788,6988,4886 August 2026 — 8,291 subscribers6 August 2026 — 8,291 subscribers7 August 2026 — 8,278 subscribers10 August 2026 — 8,296 subscribers13 August 2026 — 8,323 subscribers16 August 2026 — 8,328 subscribers19 August 2026 — 8,344 subscribers22 August 2026 — 8,358 subscribers25 August 2026 — 8,341 subscribers28 August 2026 — 8,351 subscribers31 August 2026 — 8,373 subscribers3 September 2026 — 8,411 subscribers9 September 2026 — 8,558 subscribers13 September 2026 — 8,547 subscribers16 September 2026 — 8,568 subscribers1 October 2026 — 8,625 subscribers8 October 2026 — 8,614 subscribers13 October 2026 — 8,613 subscribers16 October 2026 — 8,638 subscribers20 October 2026 — 8,651 subscribers23 October 2026 — 8,662 subscribers26 October 2026 — 8,682 subscribers29 October 2026 — 8,698 subscribers1 November 2026 — 8,696 subscribers4 November 2026 — 8,694 subscribers8,6946 August 20264 November 2026
25 measurements spanning 90 days, net +403. 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 8,215–8,761 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
4 Nov 2026, 15:458,694-2
1 Nov 2026, 19:518,696-2
29 Oct 2026, 12:458,698+16
26 Oct 2026, 04:388,682+20
23 Oct 2026, 05:278,662+11
20 Oct 2026, 03:188,651+13
16 Oct 2026, 22:598,638+25
13 Oct 2026, 19:578,613-1
8 Oct 2026, 07:208,614-11
1 Oct 2026, 17:018,625+57
16 Sept 2026, 10:398,568+21
13 Sept 2026, 01:198,547-11
9 Sept 2026, 01:018,558+147
3 Sept 2026, 17:008,411+38
31 Aug 2026, 08:058,373+22
28 Aug 2026, 12:058,351+10
25 Aug 2026, 13:328,341-17
22 Aug 2026, 12:458,358+14
19 Aug 2026, 12:368,344+16
16 Aug 2026, 18:178,328first reading

Engagement

102 posts held, back to 26 July 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 25 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.0%
avg views ÷ 8,694 subscribers
Avg views / post
1,130
13 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
13
of 102 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 3 November 2026
Posts held102 (26 July 2026 – 3 November 2026)
Views total14,681
Reactions total273
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 09:49 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
8s
Average length
8s

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

2,609 reactions across 92 posts, in 10 distinct kinds. The most used accounts for 68.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,79368.7%
🔥28410.9%
💘2318.85%
💔793.03%
⚡682.61%
💯652.49%
🤣351.34%
😢271.03%
🫡250.958%
😱20.077%

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 99 of the 102 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 2,813 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 102 most recent posts we hold, published 26 July 2026 to 3 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.

Telegram Stars

Stars received
11
across the posts below
Posts paid on
8
of 99 we hold a reading for · 8%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bnsciences. 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 102 most recent posts we hold for this entry, published 26 July 2026 to 3 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 13 posts held from the last 30 days (15.4%) 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).

3 Nov 2026, 18:02 UTC265 views10 reactionsread 4 November 2026
Forwarded from @bnsciencess

هذا البوت هو اكبر مكتبة للكتب الإلكترونية على تليجرام! حيث تخطى عدد الكتب التي تمت اضافتها للبوت إلى ما يقارب مليون ونصف كتاب إلكتروني! 📖 جرب البوت الآن واستمتع بأكبر وأسرع واسهل مكتبة على تليجرام! 👇👇. 🤔@boooksfree1bot 🤔@boooksfree1bot

❤9💘1

2 Nov 2026, 17:22 UTC≈1,110 views54 reactionsread 4 November 2026
Photo

تطوير مشتق جديد من الهارمين قد يفتح بابا لعلاج أكثر انتقائية للسرطان 🇮🇶 قام الصيدلاني العراقي (مصطفى محمد لازم) بتطوير مشتق كيميائي جديد من مادة الهارمين في محاولة للوصول إلى علاج للسرطان أكثر فعالية وأقل ضررا على الخلايا السليمة. ويعد الهارمين مركبًا طبيعيًا وأظهرت دراسات سابقة امتلاكه خصائص مضادة للخلايا السرطانية إلا أن استخدامه يواجه تحديات تتعلق بأثاره الجانبية حيث يقوم بضرب الخلايا السرطانية و الخلايا السليمة…

❤43🔥7💯2⚡1🫡1

1 Nov 2026, 17:06 UTC618 views26 reactionsread 4 November 2026
Forwarded from @Artbeacon

Posted without readable text

❤18🔥4💘3⚡1

31 Oct 2026, 18:00 UTC541 views12 reactionsread 4 November 2026
Forwarded from @BeaconOppPhoto

🟩 إعلان تعاون | مع منارة الفرص. 🟢 انطلاقًا من سعينا إلى توسيع نطاق نشر الفرص التطوعية والمبادرات المجتمعية، تتيح منارة الفرص إمكانية الانضمام إلى شبكة ممثلي الفرق التطوعية، بهدف نشر الفرص والأنشطة الخاصة بفرقهم عبر منصتنا، وفق القالب المعتمد لدينا. 💚 آلية التعاون: • تزويد منارة الفرص بالفرص والمبادرات التي تنظمها الفرق التطوعية أو تُعلن عنها. • إعداد المنشورات الخاصة بهذه الفرص وفق القالب المعتمد لدى منارة الفرص.…

❤5💯3🔥3💘1

30 Oct 2026, 15:34 UTC769 views17 reactionsread 4 November 2026
Forwarded from @BeaconOppPhoto

🟡 مسابقة | المسابقة الدولية للفيزياء IPhyC 2026 - International Physics Competition. 🔍 النوع: مسابقة عالمية في الفيزياء وحل المسائل العلمية. 🌍 المكان: أونلاين. 👤 الفئة: طلبة المدارس والجامعات، وفق الفئات والشروط المحددة للمسابقة. 💰 التمويل: الجولة التأهيلية مجانية. 📅 الموعد النهائي للتقديم: الاثنين، 2 نوفمبر 2026، الساعة 2:59 فجرًا بتوقيت الأردن. عن الفرصة: تتيح المسابقة الدولية للفيزياء IPhyC 2026 للطلبة من مختلف …

🔥10❤3⚡2💘2

29 Oct 2026, 17:05 UTC≈2,100 views10 reactionsread 4 November 2026
Voice message

#الصندوق_الأسود القصةالكاملة🧠🗃 الحلقة الخامسة: المرأة التي جعلت النجوم مسطرةً لقياس الكون من هي؟ بواسطة: طالب الطب عباس مشتاق 🎧رابط الحلقة على سبوتفاي المنارة: اصغط هنا 🎧رابط الحلقة على آبل بودكاست المنارة: اضغط هنا مصدر 1 مصدر 2 مصدر 3 مصدر 4 مصدر 5 مصدر 6 مصدر 7 مصدر 8 مصدر 9 مصدر 10 مصدر 11 مصدر 12 مصدر 13 لمشاهدة الحلقات كل خميس وجمعة 8:00 مساءً بتوقيت بغداد على منارة العلم🇮🇶🔻 https://t.me/bnsciences

❤6🔥2⚡1💘1

29 Oct 2026, 17:04 UTC857 views12 reactionsread 4 November 2026
Photo

١.صورة لهنريتا سوان ليفيت وهي تعمل في مكتبها في مرصد كلية هارفرد. ٢.صورة للنساء العاملات في موصد هارفرد. ٣.صورة لألواح التصوير الفلكي الزجاجية. ٤.صورة لسحابة ماجلان الصغرى. ٥.صورة للمرصد في جامعة هارفارد حيث عملت هنريتا سوان ليفيت. ٦.صورة للورقة أعدها ليفيت في عام 1912 حيث يمثل المحور الأفقي لوغاريتم فترة السيفيد المقابل، والمحور الرأسي هو حجمه حيث تربط الخطوط المرسومة النقاط المقابلة على التوالي للحد الأدنى والحد ا…

💘6❤3⚡2🔥1

29 Oct 2026, 17:04 UTC911 views14 reactionsread 4 November 2026
Photo

كيف استطاعت امرأة تعمل داخل مرصد فلكي أن تغير فهم البشرية للكون؟ وما السر الذي اكتشفته في النجوم المتغيرة؟ وكيف ساعد اكتشافها العلماء على قياس المسافات بين النجوم والمجرات؟ تعرفوا على قصة هنرييتا ليفيت، العالمة التي ساهم عملها في كشف اتساع الكون أمام أعين البشرية، هذا ما ستعرفونه في حلقتنا لهذا اليوم.

❤10🔥2⚡1💘1

26 Oct 2026, 17:30 UTC≈1,290 views47 reactionsread 4 November 2026

Posted without readable text

🔥20❤17💘6⚡3🫡1

25 Oct 2026, 17:23 UTC≈1,330 views24 reactionsread 4 November 2026
File

📰 العدد السادس من جريدة منارة العلم الأسبوعية نعود إليكم بعدد جديد نرصد فيه أبرز الأخبار والاكتشافات العلمية خلال هذا الأسبوع 🔬🚀 - منارة العلم | قسم الإنتاج

🔥11❤10💯2⚡1

24 Oct 2026, 15:33 UTC≈1,170 views20 reactionsread 4 November 2026
Forwarded from @BeaconOppPhoto

🟡 مسابقة إقليمية تُعنى بالتراث الثقافي و المشاريع التراثية | PNT Heritage Award 2027.  🔍 النوع : مسابقة إقليمية تُعنى بالتراث الثقافي وتكريم مشاريع و مبادرات تساهم في الحفاظ عليه وحمايته وتطويره. 🌍 المكان : اونلاين، وحفل توزيع الجوائز في عمّان - الأردن. 👤 الفئة : الباحثون، مبادرات المجتمع المحلي، المؤسسات والمنظمات المسجّلة رسمياً، الأفراد العاملون بمجال حماية التراث الثقافي. 📅 الموعد : موعد التقديم الأولي (رسالة ا…

❤15💘2🔥2⚡1

23 Oct 2026, 17:01 UTC≈1,390 views16 reactionsread 4 November 2026
Photo

أمثلة شهيرة على تأثير مانديلا البصري (Visual Mandela Effect)

❤12💯4

Showing the 12 most recent of 102 posts we hold for @bnsciences. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

14 Aug 2026, 10:21 UTCAnonymous Poll175 voters

كلما زادت الخيارات ، تزداد حرية اتخاذ القرارت ؟!

  1. نعم تزداد46%
  2. لا اعتقد57%

The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 102 most recent posts we hold, published 26 July 2026 to 3 November 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

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 2 registered channels — 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.

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.

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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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“منارة العلم | Beacon of Science” (@bnsciences), 8,694 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/bnsciences.

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.