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 11 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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. They sit inside a group of 7 channels that share the same post bodies 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 (1 of the pairs behind the counts below)
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 7, the earliest publisher we hold is @mftmechanic. 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 6 other registered channels, 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.
2 measurements taken within a single day. 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 526–528 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Aug 2026, 18:31
527
no change
5 Aug 2026, 21:36
527
first reading
Engagement
20 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.6%
avg views ÷ 527 subscribers
Avg views / post
55.6
20 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
20
of 20 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 6 August 2026
Posts held
20 (30 July 2026 – 6 August 2026)
Views total
1,113
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 18:31 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
≈4,490
Videos
≈79
Links
≈4,430
Lifetime counters from Telegram’s own channel header, read 6 August 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.
🎯شروع قطعی کارگاه کاربرد روزمره هوش مصنوعی از19شهریور
هوش مصنوعی اینجاست تا زندگیمون رو راحتتر، سریعتر و هوشمندتر کنه!
شما چقدر با ابزارهای AI آشنا هستید؟
اگه هنوز نمیدونی چطور با کمک هوش مصنوعی بهتر کار کنی، سریعتر یاد بگیری، یا حتی حرفهایتر تولید محتوا انجام بدی، این دوره دقیقاً برای شما طراحی شده!
یک دورهی کاملاً کاربردی و پروژهمحور، مناسب برای همه علاقهمندان به هوش مصنوعی — بدون نیاز به دانش قبلی در …
🚀شروع قطعی دوره MCSA 2025 از 29 مرداد
فرصت بینظیری برای شروع یا ارتقای شغل شماست. در این دوره جامع، تمامی مهارتها و دانشهای لازم برای ورود به دنیای مدیریت سرورهای مایکروسافت و شبکههای کامپیوتری را یاد خواهید گرفت. از صفر تا صد، ما با شما خواهیم بود تا هر آنچه برای موفقیت در این حوزه نیاز دارید را یاد بگیرید. 💻
🔹 چرا دوره MCSA 2025؟
• آموزش جامع و عملی: در این دوره، از مبانی پایه تا تکنیکهای پیشرفته، همه چیز…
🚀 شروع قطعی دوره پایتون مقدماتی از 11 شهریور
🌍 پایتون یکی از پرطرفدارترین و پرکاربردترین زبانهای برنامهنویسی دنیاست که در حوزههای مختلفی از جمله توسعه وب، هوش مصنوعی، یادگیری ماشین، تحلیل داده و امنیت سایبری استفاده میشود. اگر میخواهید وارد دنیای برنامهنویسی شوید، یادگیری پایتون یک شروع هوشمندانه است!
🔥 چرا این دوره را انتخاب کنیم؟
✅توسط مهندس محمد خزایی - مدرس حرفهای با سابقه تدریس موفق و تجربه عملی تدریس…
🚀شروع ثبت نام دوره تخصصی لینوکس
Linux Essentials + LPIC1 (101-102)
💡 فرصتی عالی برای ورود حرفهای به دنیای لینوکس
📅 روزهای برگزاری:یکشنبه و سه شنبه
⏰ ساعت: 17 تا 21
📚 مدت دوره: 60 ساعت
📍محل برگزاری : کرج پل آزادگان
🎓 همراه با مدرک معتبر و آموزش کاملاً کاربردی
📞 برای ثبتنام و اطلاعات بیشتر :
🌐ثبت نام آنلاین : www.mftalborz.ir
☎️+982634127 ( داخلی 122 )
📱 +989032648676
Telegram: @mftNETWORK
ارتباط تلگرا…
💻 شروع قطعی دوره سخت افزار و نرم افزار کامپیوتر
از 2 شهریور
📌 اسمبل کامپیوتر،نصب ویندوز و نرم افزار
روزها و ساعات برگزاری دوره:
✅دوشنبه و چهارشنبه ساعت 9 الی 13
⏰ مدت زمان دوره: 30 ساعت
📌تاریخ شروع: 1405/06/02
📍 مکان: کرج پل آزادگان
📞 برای ثبتنام و اطلاعات بیشتر :
🌐ثبت نام آنلاین : www.mftalborz.ir
☎️982634127+ ( داخلی 122 )
📱 +989032648676
Telegram: @mftICDL
ارتباط تلگرامی :@ICTmftAlborz
🔗 لینک ثبت …
🚀شروع قطعی دوره MCSA 2025 از 29 مرداد
فرصت بینظیری برای شروع یا ارتقای شغل شماست. در این دوره جامع، تمامی مهارتها و دانشهای لازم برای ورود به دنیای مدیریت سرورهای مایکروسافت و شبکههای کامپیوتری را یاد خواهید گرفت. از صفر تا صد، ما با شما خواهیم بود تا هر آنچه برای موفقیت در این حوزه نیاز دارید را یاد بگیرید. 💻
🔹 چرا دوره MCSA 2025؟
• آموزش جامع و عملی: در این دوره، از مبانی پایه تا تکنیکهای پیشرفته، همه چیز…
💻 شروع قطعی دوره جامع مهارتهای هفتگانه کامپیوتر (ICDL) از 18 مرداد
در دنیای امروز، تسلط بر مهارتهای کامپیوتری دیگر یک انتخاب نیست، بلکه یک ضرورت است. اگر به دنبال ورود به بازار کار، ارتقاء شغلی یا حتی افزایش بهرهوری شخصی هستید، این دوره جامع و حرفهای برای شما طراحی شده است.
چرا باید این دوره را بگذرانید؟
✔️ پیشنیاز ورود به اکثر مشاغل اداری و سازمانی
✔️ ارتقاء سطح دانش و مهارتهای کامپیوتری
✔️ آمادگی برای آ…
آغاز یک مسیر جدید در دنیای وب!
شروع قطعی دوره Python Web Development with Django از 12 شهریور
این یک فرصت عالی برای تبدیل شدن به یک توسعهدهنده وب حرفهای است. اگر به دنبال یادگیری فریمورک Django هستید و میخواهید مهارتهای خود را در دنیای توسعه وب ارتقا دهید، این دوره مختص شماست!
✅پیش نیاز:پایتون مقدماتی
📅 پنجشنبه و جمعه 13 الی 17
🕑 مدت دوره: 50 ساعت
📌تاریخ شروع : 1405/06/12
👩🏻🏫 مدرس: مهندس فاطمه صاحب …
📊 مهارت اکسل، شاهکلید موفقیت در کسبوکار!
شروع قطعی دوره اکسل مقدماتی تا پیشرفته از 5 شهریور
🔍 آیا میدانستی اکسل یکی از پرکاربردترین مهارتها در بازار کار است؟
📈 از مدیریت دادهها تا گزارشگیری پیشرفته، همهچیز را حرفهای یاد بگیر!
🎯 این دوره از مقدماتی تا پیشرفته طراحی شده تا هر کسی، در هر سطحی، بتواند از اکسل بیشترین استفاده را ببرد!
🕒 جزئیات دوره:
📆 برنامه کلاسها: پنجشنبه و جمعه| ساعت 13 تا 17
⏳ مدت دوره…
💻 🚀 شروع قطعی دوره آموزشی Network+ از 25 مرداد
آیا میخواهید شبکههای کامپیوتری را از پایه یاد بگیرید؟
دنیای IT و امنیت سایبری با یادگیری Network+
آغاز میشود! 🔥
🔹 Network+ چیست؟
یک دوره استاندارد و بینالمللی که شما را با مبانی شبکه، تجهیزات، پروتکلها، امنیت، مدیریت و عیبیابی شبکهها آشنا میکند.
✅ چرا این دوره را بگذرانیم؟
🔸 اولین گام برای ورود به دنیای شبکه و IT
🔸 پیشنیاز دورههای پیشرفته مثل Ciscoو MCS…
🚀 شروع قطعی دوره پایتون مقدماتی از 11 شهریور
🌍 پایتون یکی از پرطرفدارترین و پرکاربردترین زبانهای برنامهنویسی دنیاست که در حوزههای مختلفی از جمله توسعه وب، هوش مصنوعی، یادگیری ماشین، تحلیل داده و امنیت سایبری استفاده میشود. اگر میخواهید وارد دنیای برنامهنویسی شوید، یادگیری پایتون یک شروع هوشمندانه است!
🔥 چرا این دوره را انتخاب کنیم؟
✅توسط مهندس محمد خزایی - مدرس حرفهای با سابقه تدریس موفق و تجربه عملی تدریس…
📊 شروع قطعی طراحی داشبوردهای هوش تجاری با Power BI از 12 شهریور
آیا میدانید تصمیمگیریهای هوشمند بر اساس تحلیل دقیق دادهها چطور به موفقیت کسبوکارها کمک میکند؟
با Power BI میتوانید دادههای خام را به داشبوردهای بصری و گزارشهای تعاملی تبدیل کنید و درک عمیقتری از اطلاعات بهدست آورید.
Power BI
به شما امکان میدهد:
🔸 دادههای پیچیده را به نمودارها و داشبوردهای جذاب و تعاملی تبدیل کنید.
🔸 روندها و الگوهای کسبو…
Showing the 12 most recent of 20 posts we hold for @mftNETWORK. 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 — 15,759 of 1,151,006entries 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 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@mftNETWORK named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@mft_alborz named in 15 posts, 8 August 2026 – 8 August 2026
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 6 August 2026 — this
entry's latest reading, not the date you are reading this.
“شبکه و امنیت” (@mftNETWORK), 527 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/mftNETWORK.
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.