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 9 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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
33 measurements spanning 41 days, net -684. 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 57,745–58,672 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 16:17
57,852
-44
15 Sept 2026, 14:18
57,896
-2
13 Sept 2026, 20:41
57,898
-21
12 Sept 2026, 04:41
57,919
-23
9 Sept 2026, 21:38
57,942
-52
6 Sept 2026, 17:41
57,994
+64
4 Sept 2026, 05:15
57,930
-37
2 Sept 2026, 17:58
57,967
-31
1 Sept 2026, 18:18
57,998
-21
31 Aug 2026, 20:54
58,019
-26
30 Aug 2026, 20:33
58,045
-15
29 Aug 2026, 21:45
58,060
-27
28 Aug 2026, 23:14
58,087
-12
28 Aug 2026, 02:44
58,099
-19
27 Aug 2026, 01:42
58,118
-22
26 Aug 2026, 01:55
58,140
-17
25 Aug 2026, 04:44
58,157
-24
24 Aug 2026, 03:36
58,181
-47
22 Aug 2026, 11:24
58,228
-36
20 Aug 2026, 22:54
58,264
first reading
Engagement
31 posts held, back to 4 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 96 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.85%
avg views ÷ 57,852 subscribers
Avg views / post
2,230
8 posts measured
Reaction rate
0.342%
reactions ÷ views · ER floor
Posts in window
8
of 31 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 21 September 2026
Posts held
31 (4 July 2026 – 21 September 2026)
Views total
17,830
Reactions total
61
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 15:18 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
38
Links
281
Lifetime counters from Telegram’s own channel header, read 22 September 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.
Reaction mix
590 reactions across 30 posts, in 7 distinct kinds. The most used accounts for 74.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
438
74.2%
👍
100
16.9%
❤🔥
22
3.73%
🔥
12
2.03%
👏
10
1.69%
💯
5
0.847%
🥰
3
0.508%
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 31 of the 31 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 590 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 4 July 2026 to 21 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.
عايز تغيّر حياتك؟ 🤔
متبدأش بمحاولة تغيير كل حاجة مرة واحدة.
ابدأ بيومك…
لأن التغييرات الكبيرة غالبًا بتبدأ من حاجات صغيرة بتكررها كل يوم. 👇🏻
📚 خصص وقتًا للقراءة
حتى 15 دقيقة يوميًا ممكن تخليك تقرأ عددًا كبيرًا من الكتب مع الوقت.
📖 13 كتابًا مناسبًا لتبدأ بها:
https://tinyurl.com/3dcvtfut
⏰ نظّم وقت نومك واستيقاظك
بدل ما تبدأ يومك بشكل عشوائي، حاول تثبت مواعيد نومك واستيقاظك تدريجيًا.
✨ كيف تبدأ الاستيقاظ مبكرً…
بتعرف تستخدم الكمبيوتر… لكن هل فعلًا بتعرف تستخدمه في الدراسة والشغل؟
ممكن تكون بتتعامل مع الكمبيوتر كل يوم، لكن لما تحتاج تعمل حاجة بسيطة تلاقي نفسك بتدور على شرح لكل خطوة:
📄 تنسيق ملف Word
📊 عمل جدول على Excel
🎤 تجهيز Presentation على PowerPoint
📧 التعامل مع البريد الإلكتروني والملفات
🔐 أو حتى التعامل بشكل آمن مع الإنترنت والتكنولوجيا
المشكلة هنا مش إنك مش بتستخدم الكمبيوتر…
المشكلة إن استخدامك اليومي مش بالضرو…
لو هيكون في تحدي واحد بس قبل نهاية السنة = 7 كورسات ممكن يفرقوا في مستواك المهني!
قدامك وقت لسه تقدر تستغله بدل ما تدخل السنة الجديدة بنفس المهارات ونفس المعرفة. 👀
اعمل لنفسك تحدي:
🎯 7 كورسات قبل نهاية السنة
مش شرط تخلصهم في أسبوع، ومش لازم تدرس ساعات طويلة كل يوم.
المهم إنك تبدأ وتلتزم بخطة تعلم مستمرة، وفي النهاية تكون خرجت بمجموعة مهارات مشتركة ومفيدة في أغلب الوظائف والمهن 👇🏻
1️⃣ كورس في مجالك المهني
عشان ت…
بتتعلم إنجليزي وكل مرة تبدأ وتوقف؟
بدل ما تفضل محتار تبدأ منين، جرب معانا تحدي 7 أيام لكسر حاجز تعلم الإنجليزية.
مش مطلوب منك تذاكر ساعات، المطلوب فقط ساعة يوميًا وتلتزم بالخطوات دي 👇
📅 اليوم 1 | ابدأ من الأساسيات
اتعلم أساسيات اللغة والجمل البسيطة، وحاول تردد اللي بتسمعه بصوت عالٍ.
📅 اليوم 2 | 10 كلمات جديدة
اتعلم 10 كلمات أساسية، واكتب جملة بسيطة باستخدام كل كلمة.
📅 اليوم 3 | النطق
خصص وقتًا لتدريب النطق، وكرر…
أسبوع واحد فقط يفصلنا عن بداية الدراسة والانشغال من جديد… لكنه قد يكون كافيًا لتطوير نفسك والاستعداد لعام مختلف! ⏳
وحتى لو لم تستغل بداية سبتمبر كما كنت تتمنى، فما زالت أمامك 7 أيام ذهبية يمكنك استثمارها قبل أن تمتلئ أيامك بالمحاضرات، والمذاكرة، والالتزامات.
لن نضع جدولًا تقليديًا هذه المرة، بل سنخوض تحدي الـ 70 دقيقة:
ساعة و10 دقائق يوميًا، بتركيز كامل، قد تصنع فرقًا حقيقيًا في مستواك واستعدادك للمرحلة القادمة. 🚀…
5 عادات إذا أضفتها إلى يومك، ستتغير حياتك فعلًا 💥
ليست مجرد نصائح تحفيزية، بل عادات بسيطة، لكن تأثيرها يتراكم مع الوقت إذا التزمت بها 👌🏻
1️⃣ القراءة 📚✨
القراءة ليست رفاهية، بل وسيلة لإعادة تشكيل عقلك.
يكفي أن تقرأ 15 دقيقة يوميًا لتوسّع وعيك، وتزيد معرفتك، وتنظر إلى الحياة بزاوية أكثر نضجًا.
المهم هو الاستمرار، لا عدد الصفحات.
📖 13 كتابًا مناسبًا لتبدأ بها:
https://tinyurl.com/3dcvtfut
2️⃣ الاستيقاظ مبكرًا ⏰🌅
…
عايز تدخل مجال التكنولوجيا ومش عارف تبدأ منين؟ 👀
Amazon عندها مجموعة كبيرة من الكورسات والموارد المجانية اللي تقدر تبدأ بيها من الصفر،
في مجالات زي
الـ Cloud
والذكاء الاصطناعي
وتحليل البيانات
والأمن السيبراني
والـ Networking وغيرها.
جمعت لك أهم المسارات والكورسات المجانية في مقال واحد، مع توضيح هتتعلم إيه ومين أنسب له كل مسار 👇
https://tinyurl.com/tpypbce
راتبك بيخلص قبل نهاية الشهر؟
المشكلة مش دايمًا في قلة الدخل… أحيانًا المشكلة إن مفيش خطة واضحة لإدارة الفلوس.
الميزانية الشخصية بتساعدك تعرف فلوسك بتروح فين، وتحدد أولوياتك، وتوازن بين احتياجاتك والادخار والترفيه.
في المقال ده هتتعرف على:
📌 ما هي الميزانية الشخصية ولماذا تحتاج إليها؟
📌 إزاي تعمل ميزانية مناسبة خطوة بخطوة؟
📌 شرح قاعدة 50/30/20
📌 أمثلة لميزانية الطالب والموظف والفريلانسر والأسرة
📌 7 نصائح تساعدك تلت…
لو بدأت تتعلم لغة جديدة من غير ما تقرأ المقالات الـ7 دي… ممكن تضيع وقت ومجهود كبير!
المشكلة مش في إنك تبدأ تتعلم، المشكلة إنك تبدأ من غير منهج واضح؛
فتتنقل بين المصادر،
وتحفظ كلمات وتنسى،
وتذاكر قواعد من غير تطبيق،
وبعد فترة تحس إنك مش بتتقدم.
عشان كده جمعت لك 7 مقالات تساعدك تفهم الطريقة الصح لتعلم أي لغة، من تحديد هدفك واختيار المصادر، لحد تطوير المهارات والاستمرار.
📚 قبل ما تبدأ رحلتك في أي لغة جديدة، اقرأهم ال…
تحدي الـ30 يوم: تعلّم مهارة جديدة من الصفر! 🔥
هل عمرك بدأت تتعلم مهارة بحماس شديد… وبعد أسبوع اختفى الحماس تمامًا؟ 😅
المشكلة غالبًا ليست في قدرتك على التعلم، وإنما في طريقة التعلم والخطة التي بدأت بها.
خلال 30 يومًا لن تصبح محترفًا في أي مهارة،
لكن يمكنك أن تبني أساسًا قويًا وتنتقل من مرحلة «مش عارف أبدأ منين» إلى أنك تستطيع تطبيق ما تعلمته فعليًا . 💪
في الدليل ده هتتعلم:
✅كيف تختار المهارة المناسبة لك؟
✅كي…
❤12
Showing the 12 most recent of 31 posts we hold for @challenge2022free. 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 edited after publishing
@challenge2022free edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
13 August 2026
Most recent edit
13 August 2026
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.
The shares total 102%, 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.
Shares as published, totalling 101%. 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 31 most recent posts we hold, published 4 July 2026 to 21 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 4 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.
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.
Read from Telegram’s recommendation API, most recently 23 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.
Mira Samir❤️ @mirasamir2022 · 27,985 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 10 September 2026
كورساتي ♥️ @marketingfrom · 86,518 Telegram ranks this channel #10 of 66 here — alongside 65 others — read 18 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“تحديات ♥️” (@challenge2022free), 57,852 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/challenge2022free.
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.