Education — 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 6 October 2026 and assigned it the closest of 31 fixed categories, at 68% 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
7 measurements spanning 45 days. 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 231–237 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Nov 2026, 19:46
234
-1
28 Oct 2026, 04:21
235
-1
20 Oct 2026, 16:35
236
+1
6 Oct 2026, 00:39
235
+3
25 Sept 2026, 07:38
232
-2
19 Sept 2026, 11:22
234
no change
19 Sept 2026, 10:47
234
first reading
Engagement
20 posts held, back to 8 September 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 18 September 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
56 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 91.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
51
91.1%
🙏
4
7.14%
🦄
1
1.79%
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 14 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 56 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 8 September 2026 to 18 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.
الماضي والحاضر والمستقبل
مواضيع نناقشها حاليا في ورشة العبور 999
اللي حابب يسجل في كورس الأكاشا لي ينطلق يوم 10\10 رح ياخذ الورشة مجانا
الورشة لا تزال مستمرة
بقي تذكرتين فقط للانضمام للدفعة الرابعة من كورس قارئ السجلات الأكاشية
للالتحاق تواصلوا معنا على:
@emrauld
لازال التسجيل في كورس الأكاشا الدفعة الرابعة متاحا قبل 10\10
اللي يسجل هذه الأيام سيستفيد من الانضمام المجاني لورشة العبور
بقي 3 مقاعد فقط
للتسجيل أو الاستفسار تواصلوا معنا على :
@emrauld
في صباح 11 سبتمبر 2001 مايكل جاكسون نجا من أحداث مركز التجارة العالمي في نيويورك بسبب صدفه غريبة جداً أنقذت حياته.
قبلها بليلة بس يوم 10 سبتمبر مايكل كان مخلص أحدث حفلاته الضخمة في نيويورك. وفي صباح يوم 11 سبتمبر كان عنده اجتماع مهم جداً في أعلى البرجين بتوع مركز التجارة عشان يرجع مجوهرات وساعات غالية كان مستعيرها للحفلة ومنها قطعة أهداها لصديقته إليزابيث تايلور. وكان المفروض يروح بنفسه أو يبعت حد من فريق عمله.
بس من…
ارضية الصفر
Ground zero
ودور الأكل قي تجذيرنا ووصلنا بحقل نقطة الصفر (الوعي النقي)
كانت هذه رسالة من مايكل لتوكيد ماقلته حول الاكل
وهو بيبعثلكم الأكل الأكاشي عن طريق نظام الطيبات
من خلال بوابة 911
👁️ عندما لم يكن أحد يراقب
⚠️ هذه الروايات من أشخاص كانوا ضمن حاشية مايكل جاكسون، وكانوا موجودين معه في مدينة نيويورك يوم 11 سبتمبر 2001. وقد تم تداول هذه التفاصيل في مقابلات أُجريت بعد وفاته.
كان عالقًا في نيويورك يوم 11 سبتمبر 2001.
توقفت الرحلات الجوية. أُغلقت المدينة. وكانت حاشيته بأكملها عالقة في أحد الفنادق، بينما كان الجزء السفلي من مانهاتن يحترق على بُعد اثني عشر مبنى فقط.
وبينما كان فريقه يسابق الزمن لإيج…
اكتبلكم هذا بعد 3 اشهر من التزامي بنظام الطيبات للمرحوم العوضي
النظام مهوش نظام عادي
النظام بيخليك تتجنب اطعمة تم التلاعب في جيناتها
واطعمة قاسية على الجهاز الهضمي
بعد ايام فقط من ممارسة النظام
الجسد يستيقظ
ويصير يمشي معاك فالموجة
يصير اي شي مش طيبات بيرفضه
ودا بالضبط لي واجهته
مع الوقت تبدا انت تستيقظ وتقول انا كنت مجرم بحق جسدي
وتقرر انك تكمل
انا امبارح غشيت واكلت برغر فيه بيض
نصف برغر كان كفيل انه يخليني اعيش الت…
❤9🦄1
Showing the 12 most recent of 20 posts we hold for @mcemeraldorder. 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.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“_سجلات الأكاشا وتنويم تراجعي_” (@mcemeraldorder), 234 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/mcemeraldorder.
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.