Marketing & affiliate — 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 83% 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 (5 of the pairs behind the counts below)
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
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 3 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 20 comparable posts for this entry, running 13 November 2025 to 18 September 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 @english_right. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 11 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.
64 measurements spanning 99 days, net -1,344. 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 38,149–39,897 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
14 Nov 2026, 01:39
38,351
-41
11 Nov 2026, 09:15
38,392
-39
9 Nov 2026, 13:14
38,431
-9
8 Nov 2026, 02:58
38,440
-17
6 Nov 2026, 20:55
38,457
-17
5 Nov 2026, 19:31
38,474
-9
4 Nov 2026, 22:49
38,483
-24
3 Nov 2026, 22:35
38,507
-10
2 Nov 2026, 22:50
38,517
-18
1 Nov 2026, 21:56
38,535
-8
31 Oct 2026, 21:19
38,543
-13
30 Oct 2026, 20:50
38,556
-12
29 Oct 2026, 17:27
38,568
-10
28 Oct 2026, 15:11
38,578
-9
27 Oct 2026, 12:40
38,587
-15
26 Oct 2026, 12:19
38,602
+2
24 Oct 2026, 13:21
38,600
-8
23 Oct 2026, 10:46
38,608
-16
22 Oct 2026, 09:11
38,624
-18
21 Oct 2026, 03:57
38,642
first reading
Engagement
21 posts held, back to 13 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 188 pages 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 21 posts for this entry, the most recent from 18 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
≈106
Videos
≈20
Links
≈1,240
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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 41s
Average length
34s
Measured directly from 3 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.
مشكلتك مش إنك مش لاقي شغل من البيت
المشكلة إن البداية أحيانًا تكون غير واضحة
النجاح أساسه معرفة الطريق، وتعلم الأدوات، وتحويل المعرفة إلى تطبيق حقيقي
يمكنك الآن مع معارف الوصول لفرص العمل من المنزل مع كورس الربح من الإنترنت عبر المواقع
يساعدك تتعلم
أساسيات إنشاء المواقع وتحقيق الدخل منها٤
الـ CV بتاعك ممكن يكون كويس… ومع ذلك الـ ATS يرفضه قبل ما يوصل للـ HR. 👀
عشان كده مع معارف تقدر تعمل CV احترافي متوافق مع معايير ATS بشكل مجاني، ومن غير ما تضيع وقتك في التنسيق أو تبدأ من الصفر.
مع الأداة تقدر ترتب بياناتك، خبراتك، مهاراتك وتعليمك بشكل واضح، وتبني السيرة الذاتية خطوة بخطوة لحد ما تكون جاهزة للتقديم.
✅ متوافق مع أنظمة ATS
✅ سهل وسريع في الإنشاء
✅ تنسيق احترافي ومنظم
✅ مناسب للتقديم على الوظائف
✅ وم…
الربح من الإنترنت مبقاش فكرة… بقى فرصة حقيقية لأي حد عايز يبدأ 🔥
لو نفسك تعمل دخل إضافي أو تبدأ طريقك أونلاين، فتعلم مهارات الربح من الإنترنت هو أول خطوة صح.
مع منصة معارف هتقدر تبدأ من الصفر، وتفهم أهم الطرق العملية زي الفريلانس، التسويق، وصناعة المحتوى بشكل بسيط وواضح.
ابدأ دلوقتي https://m3rf.me/3akRE
وابدأ تبني مصدر دخل من أي مكان 💻✨
مشكلتك مش في الشغل الحر… مشكلتك إنك مش عارف تبدأ 💻🔥
اتعلم صح، وابني لنفسك مصدر دخل من الإنترنت 👌
ابدأ من هنا 👇
🔗 https://m3rf.me/62JBE
#فريلانسر #العمل_الحر #ربح_من_الانترنت #كورسات #معارف #Freelancing 🚀
"كورس التسويق بالعمولة من الإعلانات" يتضمن الكورس استراتيجيات تسويقية لاستهداف الجمهور المناسب، وإنشاء محتوى جذاب لزيادة التفاعل والمبيعات. الهدف من هذا البرنامج هو تعليم المشاركين كيفية الربح من خلال التسويق بالعمولة من الإعلانات على الإنترنت.
عدد الدروس : 41
سجل في الكورس مجانا من خلال هذا الرابط => 👇
https://m3rf.me/V9alV
يوجد شهادة مجانية بعد إنتهاءك من الدورة
منصه معارف تهنئكم بعيد الفطر المبارك ❤️
أسعد الله أيامكم وتقبل الله طاعاتكم، وجمعنا وإياكم على خير، عيد فطر سعيد. تقبل الله منا ومنكم شهر رمضان وأسعدكم بعيده فرحاً وسروراً ورضاً. نسأل الله أن تكون كل أيامنا أعياداً وفرحة عيد فطر سعيد
💸 تعلم الربح من الإنترنت – كورسات معارف
هل تريد أن تبدأ في الربح من الإنترنت بسهولة وبخطوات واضحة 🌟
هذه أفضل الكورسات على منصة معارف لتعلم كل شيء من البداية وحتى تحقيق دخل:
1️⃣ إنشاء قناة على اليوتيوب والربح
🔗 https://m3rf.me/g5xWM
2️⃣ كيف تربح من الإنترنت بالخطوات
🔗 https://m3rf.me/p9gvj
3️⃣ الربح من الإنترنت للمبتدئين
🔗 https://m3rf.me/4ybxL
4️⃣ أفكار قنوات يوتيوب للربح من الإنترنت
🔗 https://m3rf.me/NKg5K
5️⃣ الربح…
🌙✨ تهنئ منصة معارف بمناسبة حلول شهر رمضان المبارك ✨🌙
بمناسبة قدوم شهر الخير والبركة، تتقدم منصة معارف بخالص التهاني وأطيب الأمنيات إلى طلابها الأعزاء في كل مكان 💙
نسأل الله أن يجعله شهر رحمة ومغفرة وسلام،
وشهر نجاح وتحقيق للأهداف والطموحات.
رمضان هو شهر البداية الجديدة…
بداية التغيير، وبداية تطوير الذات، وبداية الاقتراب أكثر من أحلامنا.
📚 استثمروا أوقاتكم فيما ينفعكم،
واجعلوا من هذا الشهر محطة انطلاق نحو مستقبل أ…
🎓 مش كل شهادة على الإنترنت معناها ثقة… لكن في مكان واحد تضمن فيه الجودة
زي ما شوفنا في الفيديو 👇
في آلاف الشهادات أونلاين،
لكن السؤال الحقيقي:
مين يستاهل تحط اسمه في سيرتك الذاتية؟
👉 هنا ييجي دور منصة معارف
المنصة العربية اللي بتقدملك:
✅ دورات مجانية في مجالات مطلوبة
✅ محتوى مبسّط وسهل لأي مستوى
✅ شهادة معتمدة بعد إتمام كل دورة
✅ تعلم أونلاين في أي وقت ومن أي مكان
📌 سواء طالب، موظف، أو بتدور على تطوير نفسك…
معارف…
🎨✨ ابدأ رحلتك في عالم التصميم مع Canva مجانًا
هل حابب تتعلم التصميم بطريقة سهلة واحترافية؟ 🤩
انضم لدورتنا المجانية على Canva وتعلّم إزاي تصمم محتوى جذاب يساعدك تبدأ طريقك في التصميم والربح من الإنترنت 💻💰
⏰ الفرصة قدامك دلوقتي، احجز مكانك وابدأ فورًا مجانا 👇
🔗 https://m3rf.me/Vvd5X
#معارف #كانفا #تعلم_التصميم #تصميم_جرافيك #كورسات_مجانية #الربح_من_الإنترنت
كورس الربح من الإنترنت للمبتدئين على منصة معارف، هتتعلم بطريقة سهلة وواضحة أساسيات العمل أونلاين، طرق التسويق، وبناء مصادر دخل من الإنترنت خطوة خطوة.
💡 الدورة مصممة لتعليمك أهم المهارات الرقمية والأساليب العملية لتبدأ رحلتك في الربح من الإنترنت بثقة.
✨ ابدأ رحلتك الآن مع منصة معارف وطور مهاراتك لتصبح رائد في عالم العمل الرقمي https://m3rf.me/KQPRA
#معارف #M3aarf #الربح_من_الإنترنت #تطوير_الذات #كورسات #مهارات_رقمي
Showing the 12 most recent of 21 posts we hold for @m3_freelance. 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.
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.
معارف - مصادر تعليمية في كل المجالات @m3aarf · 337,802#1
تعلم اللغة الانجليزية من البداية للإحتراف @english_right · 60,070#2
Read from Telegram’s recommendation API, most recently 30 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.
وظائف و كورسات كلية تجارة @com_jobs · 27,981 Telegram ranks this channel #1 of 65 here — alongside 64 others — read 9 September 2026
تعلم اللغة الانجليزية من البداية للإحتراف @english_right · 60,070 Telegram ranks this channel #2 of 76 here — alongside 75 others — read 22 August 2026
معارف - مصادر تعليمية في كل المجالات @m3aarf · 337,802 Telegram ranks this channel #3 of 71 here — alongside 70 others — read 10 August 2026
#العلم_لا_يكال_بالبتنجان @fyb2020 · 41,846 Telegram ranks this channel #17 of 71 here — alongside 70 others — read 29 August 2026
كورساتك بالعربي @YourcoursesArabic · 25,276 Telegram ranks this channel #19 of 75 here — alongside 74 others — read 13 September 2026
Marketing @digitalmarketing34 · 162,287 Telegram ranks this channel #21 of 53 here — alongside 52 others — read 12 August 2026
مُثقف @musaqf · 93,823 Telegram ranks this channel #23 of 68 here — alongside 67 others — read 16 August 2026
ملهمون @molhemmoon · 66,328 Telegram ranks this channel #25 of 80 here — alongside 79 others — read 21 August 2026
كشكول اونلاين @kashkolonline · 106,331 Telegram ranks this channel #28 of 70 here — alongside 69 others — read 14 August 2026
Manjmy منجمى @manjmy · 397,302 Telegram ranks this channel #43 of 62 here — alongside 61 others — read 10 August 2026
zedniy @zedniiy · 114,193 Telegram ranks this channel #51 of 69 here — alongside 68 others — read 14 August 2026
This channel appears in 11 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“دليل و مجالات الربح من الانترنت” (@m3_freelance), 38,351 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/m3_freelance.
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.