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Channel

ZIRA كورسات

@ZIRA999X2

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Polls · Citations · Cite this entry

9,411subscribers

+166 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002494438033
TypeChannel
Username@ZIRA999X2
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/ZIRA999X2

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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

9,2319,4119,3217 August 2026 — 9,245 subscribers8 August 2026 — 9,247 subscribers10 August 2026 — 9,233 subscribers13 August 2026 — 9,231 subscribers16 August 2026 — 9,248 subscribers19 August 2026 — 9,273 subscribers23 August 2026 — 9,303 subscribers25 August 2026 — 9,305 subscribers29 August 2026 — 9,321 subscribers1 September 2026 — 9,343 subscribers5 September 2026 — 9,358 subscribers10 September 2026 — 9,365 subscribers14 September 2026 — 9,377 subscribers18 September 2026 — 9,411 subscribers7 August 202618 September 2026
14 measurements spanning 42 days, net +166. 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 9,204–9,438 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 14:179,411+34
14 Sept 2026, 02:019,377+12
10 Sept 2026, 02:589,365+7
5 Sept 2026, 02:389,358+15
1 Sept 2026, 13:139,343+22
29 Aug 2026, 05:349,321+16
25 Aug 2026, 21:089,305+2
23 Aug 2026, 00:579,303+30
19 Aug 2026, 22:079,273+25
16 Aug 2026, 21:469,248+17
13 Aug 2026, 15:349,231-2
10 Aug 2026, 16:089,233-14
8 Aug 2026, 01:289,247+2
7 Aug 2026, 11:169,245first reading

Engagement

24 posts held, back to 11 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 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.1%
avg views ÷ 9,411 subscribers
Avg views / post
1,990
2 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
2
of 24 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 27 August 2026
Posts held24 (11 July 202627 August 2026)
Views total3,980
Reactions total42
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 07:15 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

637 reactions across 24 posts, in 7 distinct kinds. The most used accounts for 74.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
47474.4%
🔥10416.3%
❤‍🔥233.61%
👏182.83%
🫡81.26%
👍71.10%
30.471%

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 24 of the 24 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 637 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 11 July 2026 to 27 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.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
3
of 24 we hold a reading for · 13%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ZIRA999X2. 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 24 most recent posts we hold for this entry, published 11 July 2026 to 27 August 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

27 Aug 2026, 23:51 UTC≈1,080 views14 reactionsread 29 August 2026
Photo

🛍عرض مميز ✨ اشتراك 18 شهر gemini pro 😊 المزايا: ☁️ 5 TB Storage 🧠 Gemini 3 Pro 🎨 Nano Banana 2 🎬 Veo 3.1 🎵 Lyria 3 معا اشتراك 36 شهر 🖼CANVA PRO ⚡️فقط ب 10$ 🚫لايحتاج ادخل حسابك وتفعيل كامل على حسابك الشخصي ✔️ 👨‍💻لطلب : @ZIRO69

9🔥3👏2

25 Aug 2026, 11:22 UTC≈2,900 views28 reactionsread 29 August 2026
Photo

#حصريا 💥كورس ورشة تعلم صناعة لوحات النيون⭐️ ℹ️ماذا ستتعلم: - تصنع لوحات نيون احترافية بإيدك من الصفر - تعمل ديزاين لأي لوحة بأي شكل أو مقاس - تتقن اللحام والتركيب بشكل سليم وآمن - تسعّر شغلك صح وتضمن ربح حقيقي من أول أوردر - تشحن لوحاتك لأي عميل في مصر بأمان - تبدأ مشروعك من البيت برأس مال بسيط - توصل لدخل من ١٠ لـ١٥ ألف في الشهر ⭐️الحجم: 14GB ⭐️الجودة: 1080P 🔒كلمة السر: @ZIRA999X2 🔗رابط التحميل : https://t.me/+

24❤‍🔥4

21 Aug 2026, 10:17 UTC≈6,080 views15 reactionsread 29 August 2026

❗️هناك سلسلة حظر كبيرة للقنوات حاليا ندعوكم الى الانضمام الى قناة احتياطية 🔄 ‼️⚠️القناة الاحتياطية الاولى: اظغط هنا ‼️⚠️القناة الاحتياطية الثانية : اظغط هنا

15

21 Aug 2026, 09:17 UTC≈3,320 views32 reactionsread 29 August 2026
Photo

#حصريا 💥كورس LinkedIn Pro, Profile To Profit ✅ ℹ️ماذا ستتعلم: بناء بروفايل لينكدإن احترافي يشبهك ويبيع لك ويحقق لك هدف المهني أو التجاري سواء كنت موظف, صاحب عمل أو مستقل. فهم إستراتيجية الظهور الذكي … مش الظهور العشوائي. تحويل ملفك الشخصي إلى آلة لجذب العملاء/الفرص. إدارة شبكة علاقات مهنية قوية تزيد دخلك وفرصك. فهم خوارزمية لينكدإن وطريقة شغلها لصالحك. وضع خطة نشر + خطة نمو بمساعدة الذكاء الإصطناعي. ⭐️الحجم: 2GB

30❤‍🔥2

17 Aug 2026, 10:24 UTC≈4,780 views47 reactionsread 29 August 2026
Photo

#حصريا 💥كورس المونتاج المبتدئ | Editing Hack: طريقك إلى الاحتراف في 14 يوماً ⭐️ ℹ️ماذا سوف تتعلم؟ فهم واجهة After Effects والتعامل مع التايملاينفي نهاية هذه الرحلة التعليمية، ستكون قادراً على: إتقان واجهة العمل: فهم أدوات Adobe Premiere و After Effects دون تعقيد. بناء قصة بصرية: تعلم قواعد القص (Cuts) والـ Pacing لجعل المشاهد ينجذب للفيديو. سير العمل السريع (The Hack): تطبيق تقنيات المحترفين لتعديل فيديوهاتك في نصف

🔥2912❤‍🔥41👏1

16 Aug 2026, 23:20 UTC≈4,200 views5 reactionsread 29 August 2026

❗️نستقبل طلبات الكورسات لمدة 24 ساعة فقط ✔️اكثر كورسات طلبا سيتم نشره (يستثنى كورسات VIP + كورسات متجر ) 👑لطلب : @ZIRO69

5

16 Aug 2026, 19:20 UTC≈6,970 views14 reactions1 Starread 29 August 2026

❗️هناك سلسلة حظر كبيرة للقنوات حاليا ندعوكم الى الانضمام الى قناة احتياطية 🔄 ‼️⚠️القناة الاحتياطية الثانية اظغط هنا

14

12 Aug 2026, 22:05 UTC≈6,070 views40 reactions1 Starread 29 August 2026
Photo

#حصريا 💥كورس ازاي تبني سيتم يطلع لك Winner ads باستمرار بدل ماتحرق ميزانيتك في tasting عشوائي ⭐️ ℹ️ماذا ستتعلم : التخطيط للحملات الإعلانية وإزاي تعمل كرييتف استراتيجي ايه الي هتتعلمه وتطلع بتعرف تعمله في الكورس ده ازاي تعمل محتوى مناسب لأنواع الجمهور المختلفة أنواع الـ Marketing angles وإزاي نستخدمها عشان نحل مشاكل الكونفرجين أهم أساسيات الكوبي رايتنج وازاي تعمل كوبيز تناسب كل مرحلة من مراحل الفانل 7 مفاتيح هتخل

35🔥3❤‍🔥2

11 Aug 2026, 22:22 UTC≈5,120 views16 reactionsread 29 August 2026
Photo

🛍عرض مميز ✨ اشتراك 18 شهر gemini pro 😊 المزايا: ☁️ 5 TB Storage 🧠 Gemini 3 Pro 🎨 Nano Banana 2 🎬 Veo 3.1 🎵 Lyria 3 معا اشتراك 36 شهر 🖼CANVA PRO ⚡️فقط ب 10$ 🚫لايحتاج ادخل حسابك وتفعيل كامل على حسابك الشخصي ✔️ 👨‍💻لطلب : @ZIRO69

13👍3

4 Aug 2026, 08:39 UTC≈6,910 views49 reactionsread 29 August 2026
Photo

#حصريا 🤔سعره 800 دولار نقدمه لكم مجانا 🔥 💥كورس المبيعات من الالف الى الياء ⭐️ ℹ️ ماذا ستتعلم ان اتقان فن المبيعات من الممكن ان يغير حياتك كيف ستتمكن من تغيير مجرى حياتك المالية عند اتقانك لفن البيع اسرار البيع الفعال واغلاق الصفقات بشكل مثالي كيف تجعل عميلك يسعى للحصول على منتجك لا العكس كيف تتعرف على العميل المثالي كيف تجعل العميل طعم للوصول لبيع الجملة أسباب فشل اغلب المبيعات وكيف تتخلص من هذه المشاكل كيف تضع حل

39🔥10

4 Aug 2026, 02:40 UTC≈5,770 views14 reactionsread 29 August 2026
Forwarded from @abdali1945dzdzPhoto

رجع الغالي ❤️

14

4 Aug 2026, 01:30 UTC≈4,850 views4 reactionsread 29 August 2026
Forwarded from @abdali1945dzdzPhoto

عاجل: تم حذف تطبيق تيليجرام من متجر تطبيقات أبل في جميع أنحاء العالم.

3🔥1

Showing the 12 most recent of 24 posts we hold for @ZIRA999X2. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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.

24 Jul 2026, 21:29 UTCAnonymous Poll486 voters

افكر انشئ قناة خاصة بAI انشر فيها كل اخبار AI كورسات AI برومتات وكل مايتعلق بالذكاء الاصطناعي🤖 ماريكم ؟

  1. نعم فكرة جيدا جدا 🌟90%
  2. لا 😂10%

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 24 most recent posts we hold, published 11 July 2026 to 27 August 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 3 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“ZIRA كورسات” (@ZIRA999X2), 9,411 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ZIRA999X2.

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.