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 57% 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 12 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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)
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. 2 of the 2 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 787 comparable posts for this entry, running 2 August 2026 to 11 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 4 channels, the one whose matching posts we hold earliest is @educationiq — 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 12 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 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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.
65 measurements spanning 97 days, net +4,897. 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 599,171–614,669 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 12:54
608,835
-704
9 Nov 2026, 03:16
609,539
-294
7 Nov 2026, 20:48
609,833
+255
6 Nov 2026, 19:17
609,578
-282
5 Nov 2026, 21:06
609,860
-455
4 Nov 2026, 23:39
610,315
-336
4 Nov 2026, 02:11
610,651
-354
3 Nov 2026, 03:58
611,005
-477
2 Nov 2026, 03:37
611,482
+144
1 Nov 2026, 00:15
611,338
-366
30 Oct 2026, 23:58
611,704
-137
30 Oct 2026, 02:41
611,841
-425
29 Oct 2026, 06:09
612,266
+435
28 Oct 2026, 06:19
611,831
+1,618
27 Oct 2026, 07:39
610,213
-287
26 Oct 2026, 08:35
610,500
+23
25 Oct 2026, 10:20
610,477
+901
24 Oct 2026, 11:10
609,576
+590
23 Oct 2026, 10:20
608,986
+1,109
22 Oct 2026, 09:55
607,877
first reading
Engagement
890 posts held, back to 2 August 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 199 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.81%
avg views ÷ 608,835 subscribers
Avg views / post
35,400
293 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
293
of 890 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 11 November 2026
Posts held
890 (2 August 2026 – 11 November 2026)
Views total
10,366,510
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 02:40 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
≈24,400
Videos
≈741
Links
≈3,540
Lifetime counters from Telegram’s own channel header, read 12 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
4h 25m
Average length
1m 51s
Measured directly from 144 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.
Recent posts
Telegram’s own ‘edited’ marker: 7 of 293 posts held from the last 30 days (2.39%) 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).
هناك عطاء لا يختصر في بناء، بل يقاس بالأجيال التي ستتعلم بين جدرانه... ثلاث مدارس حديثة في الكرخ الثانية، أعادت للطلبة حقهم في بيئة تعليمية لائقة، بمبادرة سخية شارك وزير التربية أبناء المنطقة فرحة اكتمالها وافتتاحها.
#بعطائكم_نصنع_الأثر
•••••
المكتب الاعلامي لوزير التربية
11-تشرين الثاني-2026
وزارة التربية تحتفي بيوم الجودة العالمي.. معايير جديدة لتقييم الأداء وتطوير العمل المؤسسي
احتضنت قاعة أحمد بن فضلان في وزارة التربية المهرجان السنوي الثاني ليوم الجودة العالمي، الذي نظمه قسم إدارة الجودة الشاملة والتطوير المؤسسي، بإشراف مدير مكتب وزير التربية الدكتور حفظي حميد الحلبوسي، وحضور مديرة شعبة السلامة والصحة المهنية في الأمانة العامة لمجلس الوزراء الدكتورة فائزة صالح، والدكتور جاسم الزبيدي مدير ادارة الجود…
مجلس الوزراء يوقف استثمارات عقارات تربوية في الغزالية والعامرية.. والأراضي تخصص لمشاريع وزارة التربية
صوت مجلس الوزراء، خلال جلسته الاعتيادية السابعة والعشرين، على إيقاف جميع إجراءات الاستثمار في قطعة مخيم المنصور الكشفي بمنطقة الغزالية وقطعة أرض أخرى في العامرية، لغرض استثمارهما من قبل وزارة التربية في إنشاء المدارس والمنشآت التي تخدم العملية التربوية.
ويتابع وزير التربية عبد الكريم عبطان الجبوري ملف حماية الأملاك…
"مدارسنا خضراء".. أشجار تنمو في ساحات المدارس وثقافة بيئية تتجذر في نفوس الأجيال
تتسع المساحات الخضراء في المدارس،عموم العراق استجابة لحملة "مدارسنا خضراء" التي أطلقها المركز التربوي للعمل التطوعي، وسط اهتمام وزير التربية عبد الكريم عبطان الجبوري بنشر ثقافة التطوع وترسيخ السلوك البيئي في المؤسسات التربوية.
وتنفذ الملاكات التربوية والطلبة حملات تشجير ميدانية تضفي طابعا أخضر على الساحات المدرسية، وتتيح للطلبة ممارسة …
وزارة التربية: أربعة مشاريع مدرسية تدخل الخدمة في ميسان.. 72 صفا تستقبل طلبة وتلاميذ المجر الكبير
افتتحت وزارة التربية/ المديرية العامة لتربية ميسان، أربعة مشاريع مدرسية في قضاء المجر الكبير، بحضور محافظ ميسان حبيب ظاهر الفرطوسي والمدير العام الدكتور جواد كاظم سلطان الصگري، وعدد من مسؤولي واهالي القضاء.
وشملت المشاريع مدرسة أم أبيها الابتدائية في قرية الغزة بواقع 12 صفا ومؤثثة بالكامل، ومشروع هدم وإعادة بناء إعدادي…
مدينة الصدر تستحق بيئة تعليمية تليق بأبنائها وتضحياتهم.. وإنهاء المدارس الكرفانية ومعالجة النقص في الأبنية المدرسية التزام لا يقبل التأجيل، لضمان حق طلبتها في مدارس آمنة تليق بمستقبلهم.
#بعطائكم_نصنع_الأثر
•••••
المكتب الاعلامي لوزير التربية
10-تشرين الثاني-2026
وزارة التربية تقرر إعفاء الطلبة من ذوي الإعاقة والاحتياجات الخاصة من سنوات الانتظار لأداء الامتحانات الخارجية
قررت وزارة التربية/ المديرية العامة للتعليم العام والأهلي والأجنبي، السماح للتلاميذ والطلبة من ذوي الإعاقة والاحتياجات الخاصة بأداء الامتحانات الوزارية التمهيدية (الخارجي)، مع إعفائهم من شرط سنوات الانتظار، وفق ضوابط عمرية حددتها المديرية العامة للتقويم والامتحانات، بواقع (17) سنة للمرحلة الابتدائية، و(18) س…
وزارة التربية تناقش متطلبات المواصفة الدولية ISO 50001 لإدارة الطاقة وخفض الانبعاثات
نظمت وزارة التربية، بإشراف ومتابعة وكيل الوزارة للشؤون العلمية ورئيس الفريق الوزاري لنظام إدارة الطاقة والكفاءة مهدي صالح العوادي، جلسة توعوية بعنوان "إدارة الطاقة وتقليل الانبعاثات وفق المواصفة الدولية ISO 50001"، بمشاركة أعضاء الفريق الوزاري في ديوان الوزارة والمديريات العامة للتربية في المحافظات كافة.
وتولى تقديم المحاضرات الدك…
Showing the 12 most recent of 890 posts we hold for @educationiq. 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
@educationiq edited 2 posts 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
23 August 2026
Most recent edit
12 November 2026
Posts recorded as deleted after publishing
We recorded 1 post on @educationiq 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
14 October 2026
Most recent seen missing
14 October 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
1
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 151 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 19 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 8 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.
الدكتور ابراهيم نامس الجبوري @DrIbrahimNamisAlJubouri · 22,850 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 17 September 2026
الاعلام التربوي تربية كربلاء المقدسة @eduinfo_karbala · 92,366 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 17 August 2026
النائب محمود القيسي @mahmood_AlQaisi · 32,369 Telegram ranks this channel #4 of 93 here — alongside 92 others — read 4 September 2026
المديرية العامة لتربية ديالى @deyala23 · 33,700 Telegram ranks this channel #6 of 84 here — alongside 83 others — read 5 September 2026
المديرية العامة لتربية البصرة @Bsraedumedia · 101,571 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 16 August 2026
المكتب الاعلامي لمحافظ نينوى عبد القادر الدخيل @AbdulQader_Al_Dakhil · 19,393 Telegram ranks this channel #14 of 70 here — alongside 69 others — read 30 September 2026
اخبار العراق @tqwemiq · 23,881 Telegram ranks this channel #16 of 56 here — alongside 55 others — read 15 September 2026
المرصد التربوي العراقي @iraqmim · 169,211 Telegram ranks this channel #16 of 88 here — alongside 87 others — read 12 August 2026
وزارة الصحة العراقية @mohmedia · 49,181 Telegram ranks this channel #20 of 93 here — alongside 92 others — read 26 August 2026
الإعلام التربوي @Basra_315 · 31,691 Telegram ranks this channel #21 of 74 here — alongside 73 others — read 6 September 2026
شبكة الإعلام العراقي @IraqiMediaNetwork · 31,136 Telegram ranks this channel #25 of 92 here — alongside 91 others — read 6 September 2026
Vodu-فودو @vodume · 61,344 Telegram ranks this channel #27 of 53 here — alongside 52 others — read 22 August 2026
الأمانة العامة لمجلس الوزراء @cabinetmedia · 85,958 Telegram ranks this channel #27 of 91 here — alongside 90 others — read 18 August 2026
المديرية العامة لتربية نينوى الإعلام والاتصال الحكومي @NinevehEducationMedia · 29,813 Telegram ranks this channel #30 of 80 here — alongside 79 others — read 8 September 2026
وزارة التعليم العالي والبحث العلمي @mohesr_official_channel · 360,527 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 10 August 2026
m @ws7ex · 61 Telegram ranks this channel #36 of 49 here — alongside 48 others — read 14 August 2026
قناة طلاب العراق الرسمية @soi17 · 491,940 Telegram ranks this channel #36 of 60 here — alongside 59 others — read 10 August 2026
د.قيس اسماعيل الكلابي @qaissalkelaby1 · 72,272 Telegram ranks this channel #38 of 83 here — alongside 82 others — read 19 August 2026
السادس الابتدائي @iraq4y · 18,655 Telegram ranks this channel #41 of 60 here — alongside 59 others — read 26 September 2026
الانبار مدينتي @anbarmdenity · 20,388 Telegram ranks this channel #41 of 69 here — alongside 68 others — read 25 September 2026
محافظة بغداد Baghdad governorate @MediaofficeoftheGB · 43,264 Telegram ranks this channel #43 of 81 here — alongside 80 others — read 27 August 2026
AshrafNews @ashraflaw · 35,061 Telegram ranks this channel #45 of 52 here — alongside 51 others — read 1 September 2026
وزارة الداخلية العراقية @moiiraqi · 85,875 Telegram ranks this channel #46 of 90 here — alongside 89 others — read 18 August 2026
واحد عراق @ONEIQ1 · 368,968 Telegram ranks this channel #46 of 70 here — alongside 69 others — read 10 August 2026
This channel appears in 320 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“وزارة التربية العراقية” (@educationiq), 608,835 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/educationiq.
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.