Telegram RegisterThe public register of Telegram

Channel

مجتمع فنی تهران_البرز

@mftalborz

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

5,039subscribers

+12 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001041060194
TypeChannel
Username@mftalborz
Created5 April 2016measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/mftalborz

Topic

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 100% 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 4 other registered channels. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Mftfardys/85611 Aug 2026, 15:24 UTC@mftalborz/37642 · this entry5 Aug 2026, 06:31 UTC1.004 days
@Mftfardys/85622 Aug 2026, 06:06 UTC@mftalborz/37635 · this entry4 Aug 2026, 06:33 UTC1.002 days
@mftICDL/64292 Aug 2026, 12:17 UTC@mftalborz/37640 · this entry4 Aug 2026, 17:31 UTC1.002 days
@mftWEB/66962 Aug 2026, 12:17 UTC@mftalborz/37640 · this entry4 Aug 2026, 17:31 UTC1.002 days
@mftNETWORK/64802 Aug 2026, 12:17 UTC@mftalborz/37640 · this entry4 Aug 2026, 17:31 UTC1.002 days
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Mftfardys5 (5/5 hand-verifiable sample passed)1.002 days@Mftfardys (50)
@mftICDL7 (7/7 hand-verifiable sample passed)1.003 days@mftICDL (70)
@mftWEB7 (7/7 hand-verifiable sample passed)1.003 days@mftWEB (70)
@mftNETWORK7 (7/7 hand-verifiable sample passed)1.003 days@mftNETWORK (70)

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 5 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 41 comparable posts for this entry, running 3 August 2026 to 7 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_copy, 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.

Growth

5,0265,0395,032.55 August 2026 — 5,027 subscribers6 August 2026 — 5,027 subscribers6 August 2026 — 5,026 subscribers9 August 2026 — 5,028 subscribers12 August 2026 — 5,039 subscribers5 August 202612 August 2026
5 measurements spanning 6 days, net +12. 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 5,024–5,041 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 09:025,039+11
9 Aug 2026, 15:115,028+2
6 Aug 2026, 06:315,026-1
6 Aug 2026, 03:485,027no change
5 Aug 2026, 22:155,027first reading

Engagement

75 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.04%
avg views ÷ 5,039 subscribers
Avg views / post
153
74 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
75
of 75 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held75 (3 August 202611 August 2026)
Views total11,345
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:56 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

Video runtime
8m 17s
Average length
2m 04s

Measured directly from 4 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

11 Aug 2026, 19:33 UTC66 viewsread 12 August 2026

لینک تقویم آموزشی جهت مشاهده انتخاب دوره و ثبت نام به تفکیک دپارتمان و گروه تخصصی: https://alnk.ir/mftonline آموزش های مجازی --- https://alnk.ir/mftbargh آموزش برق --- https://alnk.ir/mftashpazi تشریفات و آشپزی --- https://alnk.ir/mftmohtava تولید محتوا --- https://alnk.ir/mfthesabdari حسابداری --- https://alnk.ir/mftsalamat دانش و سلامت --- https://alnk.ir/mftit شبکه و امنیت --- https://alnk.ir/mftpaye مهارتهای

11 Aug 2026, 17:33 UTC69 viewsread 12 August 2026
Forwarded from @mftICDLPhoto

📊 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

11 Aug 2026, 15:32 UTC145 viewsread 12 August 2026
Photo

🚀 دوره جامع معامله‌گری ارزهای دیجیتال آیا می‌خواهید معامله‌گری را به‌صورت اصولی یاد بگیرید و از بازار رمزارزها کسب درآمد کنید؟ در این دوره آموزش خواهید دید: ✅ آشنایی کامل با بازار ارزهای دیجیتال ✅ تحلیل تکنیکال از مقدماتی تا پیشرفته ✅ شناخت روندها و نقاط ورود و خروج ✅ مدیریت سرمایه و مدیریت ریسک ✅ روانشناسی معامله‌گری ✅ استراتژی‌های معاملاتی کاربردی ✅ کار با صرافی‌ها و ابزارهای ترید ✅ بررسی معاملات واقعی و تمرین ع

11 Aug 2026, 14:32 UTC76 viewsread 12 August 2026
Forwarded from @mftWEBPhoto

🌐 شروع قطعی دوره جامع WordPress & SEO Pack از 12 شهریور اگر می‌خواهید در دنیای وب حرفه‌ای شوید و سایت‌های خود را در صفحه اول گوگل ببینید، این دوره برای شماست! 🚀 🗓 پنجشنبه و جمعه ساعت 14 الی 17 🕒 مدت دوره: ۷۵ ساعت 🎯تاریخ شروع: 1405/06/12 📍مکان: کرج پل آزادگان 📚 چرا باید این دوره را انتخاب کنید؟ 1. دوره عملی و پروژه محور 2.آموزش تکنیک‌های پیشرفته SEO 3. توسعه وب‌سایت با ابزارهای حرفه‌ای 4. یادگیری استراتژی‌ها

11 Aug 2026, 13:49 UTCviews —

مجتمع فنی تهران_البرز pinned «▪️اطلاعیه▪️ ضمن عرض تسلیت ایام ، باطلاع می رساند با توجه به تعطیل رسمی، روزهای چهارشنبه و پنجشنبه مجموعه تعطیل بوده و کلاسها برگزار نخواهد شد، ولی روز جمعه۲۳ مرداد ماه فعالیت مجموعه طبق روال عادی خواهد بود و کلاسها برگزار می گردد. روابط عمومی مجتمع فنی تهران…»

11 Aug 2026, 13:49 UTC382 viewsread 12 August 2026

▪️اطلاعیه▪️ ضمن عرض تسلیت ایام ، باطلاع می رساند با توجه به تعطیل رسمی، روزهای چهارشنبه و پنجشنبه مجموعه تعطیل بوده و کلاسها برگزار نخواهد شد، ولی روز جمعه۲۳ مرداد ماه فعالیت مجموعه طبق روال عادی خواهد بود و کلاسها برگزار می گردد. روابط عمومی مجتمع فنی تهران نمایندگی البرز

11 Aug 2026, 12:15 UTC202 viewsread 12 August 2026
Forwarded from @ENG_mftVideo

✅یادگیری زبان یک مهارت نیست، یک ضرورت است✅ دبیرستانی ها: 😉امروز یاد گرفتن زبان دوم ، الزامی است😉 استاد: ستایش خردفلاح 📝تعیین سطح : بصورت حضوری و آنلاین📝 شنبه-چهارشنبه: ساعت ۱۵ الی ۱۸ تلفن همراه و مشاوره: (تلگرام و واتساپ) 📱09981107140 مشاوره و ثبت نام: ☎️+982634127 داخلى (155) #learningenglish https://www.instagram.com/reel/DbjVyTstlNJ/?igsh=ZHA5bmpnY2hpN2hi

11 Aug 2026, 10:31 UTC189 viewsread 12 August 2026
Forwarded from @mftNETWORKPhoto

🎯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

11 Aug 2026, 08:34 UTC177 viewsread 12 August 2026
Forwarded from @MftfardysPhoto

ثبت نام دوره تخصصی CCNA 200-301 📡🚀 اگر به دنبال ورود حرفه‌ای به دنیای شبکه هستید، این فرصت را از دست ندهید! 🌟 دوره جامع و کاربردی CCNA 200-301 ویژه علاقه‌مندان، دانشجویان، مهندسان IT و تمامی افرادی‌ست که قصد دارند در مسیر تخصصی شبکه‌های سیسکو قدم بگذارند. 💻🔧 محتوای دوره: 🔹 مفاهیم پایه و پیشرفته شبکه 🌐 🔹 آشنایی با تجهیزات سیسکو 🖥️ 🔹 پیکربندی سوییچ‌ها و روترها ⚙️ 🔹 مباحث امنیت، روتینگ، VLAN، DHCP و… 🔒 ویژگی‌ها: ✅ آم

11 Aug 2026, 07:34 UTC153 viewsread 12 August 2026
Forwarded from @mftArtPhoto

شروع ثبت نام دوره آموزش حرفه ای 3D Max & Vray زیر نظر آقای مهندس سعید احمدوند با یادگیری 3D Max & Vray، شما قادر خواهید بود مدل‌های حرفه‌ای بسازید، متریال‌های فوق‌العاده طبیعی ایجاد کنید و با رندرینگ پیشرفته، خروجی‌هایی چشم‌نواز و حرفه‌ای تولید کنید 💡آموزش مدل‌سازی و رندرینگ سه‌بعدی دراین دوره چه مهارت‌هایی کسب می‌کنید؟ ✅ مدل‌سازی از صفر تا پیشرفته ✅ ساخت متریال‌های طبیعی و واقع‌گرایانه ✅ نورپردازی حرفه‌ای برای

11 Aug 2026, 06:34 UTC150 viewsread 12 August 2026
Forwarded from @mftmechanicPhoto

🚀 شروع قطعی دوره اپراتوری فرز CNC 🚀 وقتشه مهارت‌های ماشینکاری رو از تئوری به کار واقعی و تخصصی تبدیل کنی! 🔧⚙️ در دوره اپراتوری فرز CNC با اصول کار، راه‌اندازی و اپراتوری دستگاه آشنا می‌شی و مهارتی یاد می‌گیری که می‌تونه مسیر ورودت به دنیای حرفه‌ای صنعت رو هموار کنه. 🎯 اگر به دنبال یادگیری یک مهارت تخصصی، کاربردی و بازارمحور هستی، این دوره می‌تونه شروع قدرتمندی برات باشه. 🔥 شروع قطعی؛ فرصت یادگیری یک مهارت صنعتی واقع

Showing the 12 most recent of 75 posts we hold for @mftalborz. 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 — 56,650 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

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 7 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“مجتمع فنی تهران_البرز” (@mftalborz), 5,039 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/mftalborz.

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.