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 10 August 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
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 word for word on 1 other registered channel. 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 30 July 2026 to 6 August 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).
Across the whole group of 2, the earliest publisher we hold is @avaketab_com — 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 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
8 measurements spanning 7 days, net -48. 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 13,638–13,700 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 00:26
13,645
-8
12 Aug 2026, 19:24
13,653
-8
11 Aug 2026, 19:13
13,661
-7
10 Aug 2026, 19:18
13,668
-16
9 Aug 2026, 16:04
13,684
-2
8 Aug 2026, 18:25
13,686
-3
7 Aug 2026, 20:48
13,689
-4
6 Aug 2026, 21:31
13,693
first reading
Engagement
32 posts held, back to 30 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
4.74%
avg views ÷ 13,645 subscribers
Avg views / post
647
32 posts measured
Reaction rate
0.172%
reactions ÷ views · ER floor
Posts in window
32
of 32 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. It is computed over the 9 of 32 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 August 2026
Posts held
32 (30 July 2026 – 10 August 2026)
Views total
20,700
Reactions total
12
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 17:24 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
12 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6
50.0%
👍
6
50.0%
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 9 of the 32 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 12reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 30 July 2026 to 10 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.
🚨 پیشبینی صدور حدود ۳۰ هزار مجوز استخدامی برای وزارت بهداشت در ۱۴۰۵
▪️بر اساس اظهارات مسئولان دانشگاه علوم پزشکی گلستان، برای آزمون استخدامی سال ۱۴۰۵ حدود ۳۰ هزار مجوز استخدامی برای وزارت بهداشت پیشبینی شده است.
✅ سهم هر استان پس از نهاییشدن مجوزها مشخص خواهد شد.
✅ دانشگاه علوم پزشکی گلستان پیشبینی کرده است بین ۲۰۰ تا ۴۰۰ نیروی جدید جذب کند.
✅ نیازهای استخدامی حوزه سلامت شامل مشاغلی مانند بهورز، بهداشت محیط، به…
📘 کتاب آزمون دفتریاری انتشارات اندیشه ارشد
💢یک منبع کاربردی برای داوطلبانی که میخواهند مطالب آزمون را بهصورت منظم و هدفمند مطالعه کنند.
📚 فهرست مطالب
▫️بخش اول: قانون و آیین نامه ثبت اسناد و املاک مصوب 26 اسفند 1310 با اصلاحات بعدی
▫️بخش دوم: قانون مدنی
▫️بخش سوم: قانون و آیین نامه دفاتر اسناد رسمی
▫️بخش چهارم: معارف و احکام اسلامی
▫️بخش پنجم: ادبیات فارسی
▫️بخش ششم: اطلاعات عمومی و هوش
🛒 مشاهده مشخصات و خرید کت…
📘 کتاب آزمون دفتریاری دفتر اسناد رسمی انتشارات آرسا
📚 فهرست مطالب
▫️قوانین و مقررات اسناد رسمی
▫️حقوق ثبت
🛒 مشاهده مشخصات و خرید کتاب
#آزمون_دفتریاری
#کتاب_دفتریاری
#اسناد_رسمی
#آوا_کتاب
📘 کتاب عمومی آزمون دفتریاری اسناد رسمی انتشارات آرسا
📚 فهرست مطالب
▫️احکام اسلامی
▫️ادبیات فارسی
▫️اطلاعات عمومی
▫️هوش
🛒 مشاهده مشخصات و خرید کتاب
#آزمون_دفتریاری
#کتاب_دفتریاری
#اسناد_رسمی
#آوا_کتاب
📣 ثبت نام و انتشار دفترچه آزمون دفتریاری 1405
▪️ضمن آرزوی موفقیت برای تمامی همراهان مجموعه آوا کتاب به اطلاع میرسانیم؛ هم اکنون ثبت نام آزمون دفتریاری اسناد رسمی 1405 در سایت سازمان سنجش آموزش کشور آغاز و دفترچه راهنمای آزمون منتشر شد. داوطلبان میتوانند ضمن مطالعه دفترچه راهنمای آزمون از امروز تا 24 مرداد ماه نسبت به نام نویسی در آزمون اقدام نمایند.
📆 زمان ثبت نام: 18 تا 24 مرداد ماه
🔗 صفحه اخبار آزمون دفتریاری …
🔥 فروش ویژه کتاب آموزگار ابتدایی | زیر قیمت (چاپ قدیم)
📘 کتاب استخدامیار آموزگار ابتدایی
📝 فهرست مطالب کتاب:
▫️اصول و فلسفه تعلیم و تربیت
▫️روانشناسی پرورشی
▫️روانشناسی رشد
▫️روشها و فنون تدریس
▫️اندازه گیری، سنجش و ارزشیابی آموزشی
▫️آزمون های استخدامی آموزگار ابتدایی
✅ درسنامه جامع و خلاصه مباحث
✅ نمونه سؤالات ادوار گذشته
✅ بیش از 3000 نکته مهم و کلیدی
✅ مناسب برای مطالعه، مرور و جمعبندی
✅ ویژه داوطلبان آزمون ا…
📣 برگزاری آزمون صدور مجوز کارگزاری گمرکی در دی ماه سال ۱۴۰۵
▪️آزمون صدور مجوز کارگزاری گمرکی در روز ۲۵ دی ماه ۱۴۰۵ برگزار خواهد شد.
▪️طبق اعلام سرپرست معاونت برنامهریزی و امور بینالملل گمرک ایران، این آزمون در چارچوب قانون تسهیل صدور مجوزهای کسبوکار و با هدف صدور مجوز فعالیت برای فعالان حوزه تجارت خارجی برنامهریزی شده است.
🔗 صفحه اخبار آزمون کارگزاری گمرکی
📕 منابع آزمون کارگزاری گمرکی
#کارگزاری_گمرکی
#آزمو…
🚨 خبر مهم استخدامی | مجوز جذب ۶ هزار نیرو در هلال احمر صادر شد
▪️معاون برنامهریزی و هماهنگی امور مجلس جمعیت هلالاحمر، از اخذ مجوز جذب ۶ هزار نیروی جدید خبر داد و گفت: آزمون استخدامی این نیروها بهزودی برگزار خواهد شد.
▪️نورانی از اخذ مجوز استخدام ۶ هزار نیروی جدید در جمعیت هلالاحمر خبر داد و اظهار کرد: مقدمات برگزاری آزمون استخدامی در حال انجام است و امیدواریم در ماههای آینده این فرآیند اجرایی شود تا توان عملی…
💻 اگر در آزمونهای استخدامی شرکت میکنید، فناوری اطلاعات و مهارتهای هفتگانه ICDL یکی از درسهایی است که میتواند با مطالعه هدفمند، درصد خوبی برایتان بسازد.
📘 کتاب فناوری اطلاعات و مهارتهای هفتگانه ICDL | انتشارات چهارخونه
📌این کتاب ویژه داوطلبان آزمونهای استخدامی تدوین شده و مباحث مهم ICDL را بهصورت منظم پوشش میدهد:
▫️مفاهیم پایه فناوری اطلاعات
▫️کار با سیستمعامل ویندوز و مدیریت فایلها
▫️واژه پردازی با Mic…
📣 برگزاری آزمون استخدامی آموزش و پرورش در صورت وجود کمبود نیرو
▪️ فرهادی درباره استخدام نیرو در این وزارتخانه اظهار کرد: آموزش و پرورش متولی استخدام نیست، بلکه متولی تعلیم و تربیت است. مسیر ورود به آموزش و پرورش نیز مطابق قانون برنامه هفتم و مصوبه شماره 833 شورای عالی انقلاب فرهنگی مشخص شده است. بر اساس این قانون، ورود به آموزش و پرورش از دو مسیر انجام میشود؛ نخست از طریق دانشگاه فرهنگیان و دانشگاه تربیت دبیر شهید …
Showing the 12 most recent of 32 posts we hold for @avaketab_com. 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.
Citation-graph rank
Citation-graph rank — 24,803 of 1,183,361entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 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.
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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“آوا کتاب” (@avaketab_com), 13,645 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/avaketab_com.
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.