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Channel

تعلم اللغة الانجليزية - AZ ENGLISH

@azglish

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

281,839subscribers

-13,870 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001332273981
TypeChannel
Username@azglish
Descriptionلطلب كورس والكُتب الرقمية الانجليزية للمبتدئين أو كتب الإنجليزية للأطفال | زورونا في موقعنا azglish.com يُقال أن تعلم اللغات هو خارطة الطريق لتعلم الثقافات | | تعلم اللغة الإنجليزية 👍🏻 للاستفسارات ← @azglish_admin
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/azglish

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@azglish/31943 · this entry8 Aug 2026, 21:19 UTC@makki55english/4689 Aug 2026, 10:44 UTC1.0013 hours
@azglish/31944 · this entry9 Aug 2026, 03:54 UTC@makki55english/4699 Aug 2026, 10:44 UTC1.006.8 hours
@azglish/31947 · this entry10 Aug 2026, 18:08 UTC@makki55english/47110 Aug 2026, 18:13 UTC1.005 minutes
@azglish/31948 · this entry11 Aug 2026, 17:51 UTC@makki55english/47211 Aug 2026, 17:52 UTC1.00under a minute
@makki55english/47512 Aug 2026, 16:29 UTC@azglish/31971 · this entry31 Aug 2026, 18:02 UTC1.0019 days
@azglish/31951 · this entry15 Aug 2026, 15:18 UTC@makki55english/47615 Aug 2026, 15:20 UTC1.0072 seconds
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@makki55english9 (8/8 hand-verifiable sample passed)1.0014 minutesthis entry (8–1)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 183 comparable posts for this entry, running 27 July 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @azglish — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

281,839295,709288,7746 August 202613 November 2026
66 measurements spanning 100 days, net -13,870. 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 279,759–297,790 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
13 Nov 2026, 20:46281,839-479
11 Nov 2026, 01:29282,318-211
9 Nov 2026, 07:59282,529-242
7 Nov 2026, 21:49282,771-168
6 Nov 2026, 18:48282,939-134
5 Nov 2026, 20:46283,073-151
4 Nov 2026, 22:46283,224-162
3 Nov 2026, 21:06283,386-142
2 Nov 2026, 23:24283,528-192
2 Nov 2026, 02:08283,720-143
1 Nov 2026, 00:06283,863-186
31 Oct 2026, 00:27284,049-188
30 Oct 2026, 01:11284,237-156
29 Oct 2026, 00:45284,393-178
27 Oct 2026, 22:55284,571-184
26 Oct 2026, 21:08284,755-146
25 Oct 2026, 21:20284,901-111
24 Oct 2026, 21:28285,012-115
23 Oct 2026, 20:17285,127-133
22 Oct 2026, 20:28285,260first reading

Engagement

203 posts held, back to 27 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 203 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.22%
avg views ÷ 281,839 subscribers
Avg views / post
3,430
58 posts measured
Reaction rate
0.977%
reactions ÷ views · ER floor
Posts in window
58
of 203 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 13 November 2026
Posts held203 (27 July 2026 – 13 November 2026)
Views total199,153
Reactions total1,946
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 02:11 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

Photos
408
Videos
53
Links
493

Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3m 07s
Average length
7s

Measured directly from 25 videos 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

6,487 reactions across 191 posts, in 6 distinct kinds. The most used accounts for 61.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4,01361.9%
👍1,15417.8%
👏5568.57%
💯5258.09%
😍2063.18%
😢330.509%

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 197 of the 203 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 6,710 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 203 most recent posts we hold, published 27 July 2026 to 13 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 58 posts held from the last 30 days (1.72%) 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).

13 Nov 2026, 19:00 UTC793 views19 reactionsread 14 November 2026

1️⃣للمستوى المبتدئ: هذي معلومة يحتاج لها تركيز شوي للمبتدئين 👍 الأسماء المعدودة وغير المعدودة (Countable and Uncountable Nouns): 🔣1. الأسماء المعدودة (Countable Nouns): هي الأسماء التي يمكن عدها، ولها صيغة مفرد وصيغة جمع. Examples: One apple, two apples, three apples. تفاحة واحدة، تفاحتان، ثلاث تفاحات. I have a car. She has two cars. أنا أملك سيارة. هي تملك سيارتين. 🔣• يمكن استخدام أدوات مثل: a, an, many, few م…

❤10👍5👏3💯1

12 Nov 2026, 21:15 UTC≈1,780 views33 reactionsread 14 November 2026

🟢 معلومة مهمة جدًا بما يخص النطق في الانجليزية الكلمات المتشابهة في النطق وتسمى بالإنجليزية Homophones هي كلمات تُنطق (بنفس الطريقة) ولكن لها معانٍ وإملاء مختلفين. 🔣بعطيكم أمثلة: 1. Pair / Pear - “بير” • Pair: زوج • Pear: كمثرى 2. Right / Write - “رايت” • Right: صحيح / يمين • Write: يكتب 3. Sea / See - “سي” • Sea: بحر • See: يرى 4. Know / No - “نو” • Know : يعرف • No: لا 5. Too / Two / To - “تو” • T…

❤18👍10👏5

11 Nov 2026, 17:17 UTC≈2,580 views33 reactionsread 14 November 2026

🟢الفرق بين: A – An – The تُستخدم هذه الكلمات قبل الأسماء، وهي تُسمى أدوات التعريف والتنكير (Articles). ⸻ 1⃣➡️ A – أَي – أداة تنكير للمفرد الذي يبدأ بحرف ساكن (consonant) 🔣 تُستخدم مع الكلمات المفردة التي تبدأ بصوت ساكن. مثال: I have a book. لدي كتاب. She is eating a banana. هي تأكل موزة. ⸻ 2⃣➡️ An – أَن – أداة تنكير للمفرد الذي يبدأ بحرف متحرك (vowel) 🔣 تُستخدم مع الكلمات المفردة التي تبدأ بصوت متحرك (a, e, …

❤17👏6👍4💯3😍3

10 Nov 2026, 07:17 UTC≈3,350 views34 reactionsread 14 November 2026

2️⃣ للمستوى المتوسط: تستخدم صفات المقارنة والتفضيل بشكل كبير جدًا في المحادثة والكتابة. وبشرح لكم الفرق والاستخدام صفات المقارنة (Comparative) صفات التفضيل (Superlative): 🔣1. صفات المقارنة (Comparative Adjectives): تُستخدم للمقارنة بين شيئين أو أكثر. 🔣• القاعدة: • إذا كانت الصفة قصيرة (مقطع واحد مثل fast): أضف للصفة -er. ثم كلمة than 🔣مثال: This car is faster than that one. هذه السيارة أسرع من تلك. • إذ…

❤25👍5👏2💯2

9 Nov 2026, 10:35 UTC≈3,330 views21 reactionsread 14 November 2026

ملفات وقوالب باوربوينت PPT مجانية لكم بالإنجليزية والعربية مجموعة متنوعة من عروض الباوربوينت الجاهزة باللغتين العربية والإنجليزية، في مجالات تعليمية وعلمية وثقافية ومهنية مختلفة. ✅عروض باللغة العربية والإنجليزية. ✅موضوعات متنوعة ومحتوى جاهز. ✅ملفات بصيغة PowerPoint قابلة للتعديل. ✅مناسبة للطلاب والمعلمين والموظفين والباحثين. 💡 وفّر وقتك وجهدك في إعداد العروض التقديمية، واستفد من مجموعة كبيرة من الملفات الجاهزة س…

❤10👍5😍3👏2💯1

7 Nov 2026, 20:10 UTC≈4,100 views38 reactionsread 14 November 2026

انواع المطر باللغة الانجليزية 🌂☔️ 1. Drizzle 🌫️ رذاذ خفيف جداً It’s drizzling outside 🌧️ انها تمطر رذاذاً في الخارج 2. Light rain 🌦️ مطر خفيف We had light rain this morning ☔ حظينا بمطرٍ خفيف هذا الصباح 3. Showers 🌦️ زخات مطر متقطعة There will be showers this afternoon ☔ ستكون هناك زخات مطر بعد الظهر 4. Heavy rain 🌧️ مطر غزير Heavy rain caused traffic problems 🚗🌧️ تسبب المطر الغزير في مشاكل مرورية 5. …

❤27👍8👏3

6 Nov 2026, 12:39 UTC≈4,810 views41 reactionsread 14 November 2026
Photo

6 ملفات مجانية مرتبة ومنظمة لكم: 📌أهم 700 كلمة إنجليزية مع الترجمة 📌قواعد النطق الانجليزية 📌أساسيات القواعد الانجليزية 📌عبارات شائعة بالإنجليزية 📌أهم الكلمات الانجليزية حسب المستوى 📌مصطلحات الإنجليزية للأعمال ✔️ حملوها عن طريق الرابط مجانًا سجلوا الدخول واحفظوها عندكم 👍 https://bestclouddrive.com/s/1suyAQpsy33FItTFsbshQyw ❤️

❤28👍6👏4💯3

4 Nov 2026, 21:22 UTC≈5,280 views44 reactionsread 14 November 2026

🟢 أفضل طريقة لزيادة عدد المفردات عندك بالإنجليزية هي حفظ الكلمات وعكسها 👍 1. Clean نظيف - Dirty متسخ 🧼 🧹 • The kitchen is clean, but the bathroom is dirty. المطبخ نظيف، لكن الحمام متسخ. 2. Strong قوي - Weak ضعيف 💪 🧍‍♂️ • He is strong, but his brother is weak. هو قوي، لكن أخاه ضعيف. 3. Early مبكر - Late متأخر ⏰ 🕒 • I arrived early, but she came late. وصلتُ مبكرًا، لكنها جاءت متأخرة. 4. Tall طويل - Short قصي…

❤27💯9👏5👍3

3 Nov 2026, 23:47 UTC≈5,460 views52 reactionsread 14 November 2026

في اللغة الإنجليزية، تُستخدم علامات الترقيم والرموز الخاصة (Punctuation and Special Symbols) لتوضيح المعنى وتنظيم الجمل، أو في السياقات التقنية مثل البرمجة أو كتابة البريد الإلكتروني. تعلّم هذه الرموز مهم جدًا لفهم النصوص والتعامل مع التكنولوجيا بشكل صحيح 👍 وهذي قائمة لكم بأهم علامات الترقيم 1- @ → آت آت - تُستخدم في البريد الإلكتروني، مثل: name@example 2- . → دوت نقطة - تُستخدم في نهاية الجمل 3- , → كوما فاصلة -…

❤37👍9👏5💯1

30 Oct 2026, 20:46 UTC≈6,450 views39 reactionsread 14 November 2026
Photo

❤️ عرض قوي لتأسيسك بالإنجليزية ❤️ 📚 كتب رقمية لتعليم الانجليزية تشمل: ✔️أساسيات القواعد الإنجليزية ✔️أهم المفردات في حياتنا اليومية ✔️أسرار النطق باللغة الإنجليزية ✔️تعليم وتحسين الخط بالإنجليزية ✔️أهم 100 كلمة إنجليزية وعكسها ✔️100 بودكاست إنجليزي ✔️أهم 800 كلمة تأسيسية إنجليزية ✔️محادثات يومية مترجمة مسموعة ✔️أسرار المقابلات الشخصية ✔️أساسيات كتابة الإيميلات 🔥 السعر الآن: 39 ريال لفترة محدود…

❤25💯7👍5👏2

30 Oct 2026, 10:49 UTC≈5,450 views43 reactionsread 14 November 2026

1️⃣ للمستوى المبتدئ: هذه معلومة مهمة عند تعلم اللغة الإنجليزية للكتابة والتحدث 👍 الأفعال الناقصة (Modal Verbs): الأفعال الناقصة مثل can, could, may, must, should تُستخدم للتعبير عن القدرة، الاحتمالية، الإذن، أو الالتزام. 🔣القاعدة: • الأفعال الناقصة تأتي قبل الفعل الأساسي في الجملة. • الفعل الأساسي يبقى في المصدر (بدون إضافات). 🔣مثال: I can swim. أنا أستطيع السباحة. (الفعل الناقص: can، الفعل الأساسي: swim) Sh…

❤30💯9👍3😍1

29 Oct 2026, 17:30 UTC≈4,330 views36 reactionsread 14 November 2026

تعبيرات مجازية 🎨 باستخدام الألوان تعلمها الآن 👇 1- Out of the blue 🌊 فجأة / دون سابق انذار 2- Once in a blue moon 🌕 نادراً جداً 3- Black sheep 🐑 شخص مختلف أو منبوذ 4- Green with envy 🤢 شديد الغيرة أو الحسد 5- Give the green light 🟢 يعطي الموافقة 6- White lie 🤍 كذبة بيضاء لا تؤذي أحداً 7- Tickled pink 🌸 مسرور ومبتهج جداً 8- Gray area 🌫️ حالة غامضة أو غير واضحة 9- Out of the red 📈 الخروج من الديون والربح 10- …

❤24👍7👏5

Showing the 12 most recent of 203 posts we hold for @azglish. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @azglish as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
15 August 2026
Most recent seen missing
15 August 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
0

Polls

The 6 most recent of 13 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.

6 Aug 2026, 19:21 UTCAnonymous Quiz1,320 voters approx.

Choose the correct answer 👌 ما معني هذه الكلمه. [ سيده أعمال ]

  1. Business man12%
  2. Business woman86%
  3. Pilot1%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

6 Aug 2026, 19:21 UTCAnonymous Quiz1,310 voters approx.

Choose the correct answer 👌 مل معني كلمه . [ مدير ]

  1. Manager87%
  2. Writer4%
  3. Mechanic9%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Aug 2026, 19:21 UTCAnonymous Quiz1,270 voters approx.

Choose the correct answer 👌 ما معني هذه الكلمه. [ مصمم ]

  1. Cashier6%
  2. Baker6%
  3. Designer88%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Aug 2026, 19:21 UTCAnonymous Quiz1,150 voters approx.

Choose the correct answer 👌 ما معني هذه الكلمه. [ طييب بيطري ]

  1. Veterinarian85%
  2. Manager3%
  3. Designer12%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Aug 2026, 19:21 UTCAnonymous Quiz1,240 voters approx.

Choose the correct answer 👌 ما معني هذه الكلمه. [ رسام ]

  1. Cleaner13%
  2. Business woman3%
  3. Painter84%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Aug 2026, 19:21 UTCAnonymous Quiz1,320 voters approx.

Choose the correct answer 👌 ما معني هذه الكلمه. [ رجل أعمال ]

  1. Business man97%
  2. Lawyer2%
  3. Chef1%

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 203 most recent posts we hold, published 27 July 2026 to 13 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

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

تعلم اللغة الانجليزية بسهولة 🇱🇷
@nn_48 · 327,784
#1
تعلم اللغة الإنجليزية 👌 English learning
@ttt621 · 338,746
#2
تعلم الانجليزية بسهوله Just English
@English704 · 223,014
#3
تعليم اللغة الإنجليزية 👨‍🏫
@LearnEng01 · 309,655
#4
تعليم اللغة الانكليزية 🇺🇸
@priness22 · 460,081
#5
تعليم اللغة الإنجليزية Learn English
@Pandora37 · 139,355
#6
انجليزي مع مستر ادم
@misteradaminglizi · 55,254
#7
عالم الإنجليزية
@learn770 · 273,595
#8
دورة اختبار ستيب STEP
@step11one · 8,339
#9
🇺🇸 اقتباسات انجليزية مترجمة
@vsv21 · 138,632
#10
Learn English 🗣
@EEE2306 · 48,719
#11
𝗠𝗿.𝗠𝗼𝗵𝗮𝗺𝗺𝗲𝗱 𝗔𝗰𝗮𝗱𝗲𝗺𝘆 𝗳𝗼𝗿 𝗘𝗻𝗴𝗹𝗶𝘀𝗵 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲
@learnenglishwithme10 · 1,020
#12
عجائب وغرائب وحقائق
@ppppdu · 171,119
#13
الإنجليزية مع حنان
@english_with_hanan · 762,966
#14
بحر الكتب العلمية
@librarypdf1 · 451,660
#15
تعليم اللغة الانكليزية 🇺🇸
@funnees · 947
#16
ملازم الخامس اعدادي |خامسيون
@NN_X5 · 310,239
#17
تعليم الانجليزية بسهولة
@Hamzausuf · 57,039
#18
ادعيه اذكار ، قرآن دعاء ،🤲🏻
@PVTNFS · 593,770
#19
تعلم A - Z الانجليزي
@Abceng1 · 27,707
#20
منصة ياقوت💎 | التحصيلي
@MrEnglish5 · 19,952
#21
اختبر انجليزيتك English tests 🇺🇸
@English_Test9 · 48,015
#22
English Quiz
@E_Qz0 · 84,366
#23
طور لغتك الانجليزية
@englishlearn36 · 82,782
#24
معلومات طبية 💊
@Pandora38 · 113,859
#25
رحيقُ الكَلِمات
@hhhieee · 377,415
#26
دورة اساسيات اللغة الانجليزية
@english2314 · 6,280
#27
سأكون طبيباً💉🩺👩‍⚕️
@drzahoraaa9 · 335,173
#28
كن إيجابي 💌.
@aask_11 · 357,181
#29
اقتباسات مترجمة.
@tran_200 · 2,630 (as read 10 August 2026)
#30
قناة الاتجاه
@Aletejahchanal · 79,310
#31
تعلم الإنجليزية مع أسامة حسن
@OsamaHassannn · 90,425
#32
تحفيزات دراسية 📚💕
@t7miv · 218,934
#33
HADIL
@HADILBET · 305,095
#34
صحة ، جمال ، صحتي ، عناية 🍏
@Sehetty · 124,676
#35
ستيب | STEP
@steps40 · 9,654
#36
تعلم اللغة الإنجليزية
@Learn3English · 50,380
#37
ادعيه ، قرآن كريم ، اقتباسات دينيه🕌
@uv_vz · 302,254
#38
بالعربي
@bl3rbe · 79,585
#39
𝚅𝙴𝚁𝙾𝙽𝙸𝙲𝙰 .
@SACHERTI · 156,091
#40
تعليم اللغة الانجليزية
@Einglish_ra · 85,452
#41
سأحقق حلمي💜🩺💉
@Towarddream8 · 279,705
#42
رسَـائِـل من وَرد .🤍
@tt_fttf · 43,194
#43
قصص إنجليزية قصيرة ومفيدة
@Alasad20 · 5,027
#44
قناة تعليم اللغة الإنجليزية
@FEXVZZ · 4,511
#45
أكاديمية تعلم الانجليزية ( LEA )
@Eng365 · 120,827
#46
ّنقطةْ🤏🏻.
@soleedad · 5,121
#47
📕 تعلم الانجليزية 📕
@English7711 · 46,805
#48
تعلم اللغة الإنجليزية دورات، كورسات،
@hamzah68013 · 1,773
#49
إنتقاءات فكريّة ( صدقة جاريه )
@tv_tf · 15,281
#50
𝑩𝒊𝒈 𝑭𝒂𝒎𝒊𝒍𝒚 𝑪𝒉𝒂𝒏𝒏𝒆𝒍
@OneFamilyChannel · 7,757
#51
⁦ ⁦🇹🇷 تعلم اللغة التركية ⁦🇹🇷
@turkiye_arabic · 26,721
#52
أنت كدها 💯❤️ ꪹ .
@B7UU7 · 230,068
#53
امضي قدماً📚💙
@dazzz5 · 17,968
#54
همسات ٲطباء...🇵🇸✊🏻💜
@teeb_kasha · 103,625
#55
دورة اختبار ايلتس IELTS 🇸🇦🇬🇧
@IELTS_AR · 3,756
#56
كورسات تعلم اللغة التركية 🇹🇷
@Un_30 · 224,977
#57
عبارات اقتباسات
@bc_115 · 2,279
#58
𖦹 نماذج الجامعات الأهلية والحكومية
@SAFWANX · 6,319
#59
معلومات اسئله الغاز العاب 💡
@un_37 · 372,746
#60
(أَلاَ بِذِكْرِ اللَّهِ تَطْمَئِنُّ الْقُلُوبُ)
@athkar_77 · 6,338
#61
حلويات ، وصفات طبخات ، أكلات 🍫🍒
@nn_41 · 325,247
#62
أسرار نفسية، تطوير وتحفيز
@psychology_F · 295,326
#63
ادعيه ، قران ، اذكار , دعاء 🤲🏻
@ccvvvvvvvvvvvvvvv · 307,529
#64
طبخات ، حلويات ، اكلات ، مقبلات 🥘 369
@Kitchen92 · 325,115
#65
Learn Arabic with Maria
@LearnArabicwithMaria · 10,291
#66
علوم هندسية وتطبيقية
@EASci1 · 4,408
#67
abodate_1
@abodate_1 · 2
#68
™متع عقلك •
@L_OS_0 · 112,329
#69
الله معي💜.
@AallahMaiB · 104,834
#70
خلطات طبيه طبيعيه ، وصفات 💍
@wsafat · 143,761
#71
SAFWAN_ART
@SAFWAN_ART · 861
#72
مكتبة الأطباء
@PH_4S · 2,131
#73
بعضً من اللُطف 🤎🥥.
@pink_letters_0 · 189,829
#74
اقتباسات دينيه ، ادعيه ، قرآن ،🕌
@MALATH779 · 65,608
#75
مركز التدريب والتأهيل USF ‐ جامعة صنعاء
@tadreebUSF · 17,584
#76
مَلاذُ القَارِئ 📖📚
@BBO0OK · 52,706
#77
إستراحة قلـ♡ـــب
@aistirahat_ruh · 162,777
#78
كتابي المُفضّلpdf 📚
@mybook_z · 68,225
#79
تعلم لغة انجليزية 🇺🇸
@TEACH_OF_TOMORROW · 24,971
#80
يَوميـاتَ ممَرض وممَرضة 💉🩺
@Nursing_2020m · 8,163
#81
اللغة الانجليزية للمبتدئين - ENGLISH
@E_nglish1 · 10,040
#82
دعنا نتعلم الانجليزية° ᭄
@LearnEnglish09090 · 6,345
#83

Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

🇺🇸 اقتباسات انجليزية مترجمة
@vsv21 · 138,632
Telegram ranks this channel #2 of 91 here — alongside 90 others — read 13 August 2026
تعلم اللغة الانجليزية بسهولة 🇱🇷
@nn_48 · 327,784
Telegram ranks this channel #2 of 86 here — alongside 85 others — read 10 August 2026
تعليم اللغة الإنجليزية Learn English
@Pandora37 · 139,355
Telegram ranks this channel #3 of 79 here — alongside 78 others — read 12 August 2026
تعلم الانجليزية بسهوله Just English
@English704 · 223,014
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 11 August 2026
تعلم اللغة الإنجليزية 👌 English learning
@ttt621 · 338,746
Telegram ranks this channel #3 of 87 here — alongside 86 others — read 10 August 2026
قناة الاتجاه
@Aletejahchanal · 79,310
Telegram ranks this channel #4 of 76 here — alongside 75 others — read 18 August 2026
تعليم اللغة الانكليزية 🇺🇸
@priness22 · 460,081
Telegram ranks this channel #4 of 83 here — alongside 82 others — read 9 August 2026
انجليزي مع مستر ادم
@misteradaminglizi · 55,254
Telegram ranks this channel #5 of 86 here — alongside 85 others — read 23 August 2026
معلومات طبية 💊
@Pandora38 · 113,859
Telegram ranks this channel #5 of 74 here — alongside 73 others — read 14 August 2026
تعليم اللغة الإنجليزية 👨‍🏫
@LearnEng01 · 309,655
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 10 August 2026
تعلم A - Z الانجليزي
@Abceng1 · 27,707
Telegram ranks this channel #7 of 57 here — alongside 56 others — read 9 September 2026
تعليم الانجليزية بسهولة
@Hamzausuf · 57,039
Telegram ranks this channel #9 of 68 here — alongside 67 others — read 22 August 2026
English Quiz
@E_Qz0 · 84,366
Telegram ranks this channel #10 of 86 here — alongside 85 others — read 17 August 2026
تعلم الإنجليزية مع أسامة حسن
@OsamaHassannn · 90,425
Telegram ranks this channel #10 of 80 here — alongside 79 others — read 16 August 2026
اختبر انجليزيتك English tests 🇺🇸
@English_Test9 · 48,015
Telegram ranks this channel #14 of 84 here — alongside 83 others — read 25 August 2026
طور لغتك الانجليزية
@englishlearn36 · 82,782
Telegram ranks this channel #14 of 55 here — alongside 54 others — read 17 August 2026
عالم الإنجليزية
@learn770 · 273,595
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 10 August 2026
Learn English 🗣
@EEE2306 · 48,719
Telegram ranks this channel #18 of 74 here — alongside 73 others — read 25 August 2026
منصة ياقوت💎 | التحصيلي
@MrEnglish5 · 19,952
Telegram ranks this channel #19 of 79 here — alongside 78 others — read 26 September 2026
تعلم اللغة الإنجليزية
@Learn3English · 50,380
Telegram ranks this channel #19 of 90 here — alongside 89 others — read 25 August 2026
⁦ ⁦🇹🇷 تعلم اللغة التركية ⁦🇹🇷
@turkiye_arabic · 26,721
Telegram ranks this channel #21 of 80 here — alongside 79 others — read 11 September 2026
كورسات تعلم اللغة التركية 🇹🇷
@Un_30 · 224,977
Telegram ranks this channel #23 of 82 here — alongside 81 others — read 11 August 2026
تعليم اللغة الانجليزية
@Einglish_ra · 85,452
Telegram ranks this channel #24 of 82 here — alongside 81 others — read 17 August 2026
أكاديمية تعلم الانجليزية ( LEA )
@Eng365 · 120,827
Telegram ranks this channel #27 of 94 here — alongside 93 others — read 13 August 2026

This channel appears in 44 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“تعلم اللغة الانجليزية - AZ ENGLISH” (@azglish), 281,839 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/azglish.

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.