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Channel

مهندسی مواد پارس پژوهان

@materials_parspajouhaan

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Cite this entry

6,558subscribers

+121 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-1001313014348
TypeChannel
Username@materials_parspajouhaan
Descriptionگروه آموزشی پارس پژوهان parspajouhaan.com 021-88322992 مشاوره دوره: @parspajouhaan_registration2 گروه موادی‌ها https://t.me/+IuzXx6AfHBxhODk0 مدیریت @parspajouhaan شبکه های اجتماعی http://zil.ink/parspajouhaan کریمخان،ایرانشهر،آذرشهر،پ32،واحد5
Created13 February 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/materials_parspajouhaan

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 5 other registered channels. They sit inside a group of 9 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@materials_parspajouhaan/12475 · this entry4 Aug 2026, 14:29 UTC@CAECAMCAD/254814 Aug 2026, 14:29 UTC1.00under a minute
@materials_parspajouhaan/12492 · this entry6 Aug 2026, 15:40 UTC@CAECAMCAD/255016 Aug 2026, 15:40 UTC1.00under a minute
@materials_parspajouhaan/12494 · this entry6 Aug 2026, 17:25 UTC@CAECAMCAD/255046 Aug 2026, 17:25 UTC1.00under a minute
@materials_parspajouhaan/12495 · this entry6 Aug 2026, 17:25 UTC@CAECAMCAD/255056 Aug 2026, 17:25 UTC1.00under a minute
@CAECAMCAD/255076 Aug 2026, 18:15 UTC@materials_parspajouhaan/12497 · this entry6 Aug 2026, 18:18 UTC1.002 minutes
@Aerospace_ParsPajouhaan/109194 Aug 2026, 13:31 UTC@materials_parspajouhaan/12474 · this entry4 Aug 2026, 13:33 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@CAECAMCAD16 (8/8 hand-verifiable sample passed)1.00under a minute@CAECAMCAD (115)
@Aerospace_ParsPajouhaan11 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (83)
@bioparspajouhaan7 (7/7 hand-verifiable sample passed)0.98under a minute@bioparspajouhaan (52)
@CIVILPARSPAJOUHAAN6 (6/6 hand-verifiable sample passed)0.99under a minuteeven
@abaqusparspajouhaan5 (5/5 hand-verifiable sample passed)1.0066 minutes@abaqusparspajouhaan (32)

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. 15 of the 23 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 36 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 9, the earliest publisher we hold is @fluentparspajouhaan. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 8 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 8 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

6,4376,5586,497.55 August 2026 — 6,437 subscribers6 August 2026 — 6,437 subscribers9 August 2026 — 6,513 subscribers12 August 2026 — 6,558 subscribers5 August 202612 August 2026
4 measurements spanning 6 days, net +121. 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 6,419–6,576 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 02:486,558+45
9 Aug 2026, 03:536,513+76
6 Aug 2026, 03:206,437no change
5 Aug 2026, 22:016,437first reading

Engagement

71 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 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.23%
avg views ÷ 6,558 subscribers
Avg views / post
343
70 posts measured
Reaction rate
0.592%
reactions ÷ views · ER floor
Posts in window
71
of 71 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 21 of 70 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held71 (3 August 202611 August 2026)
Views total24,020
Reactions total37
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:03 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
6,230
Videos
2,280
Links
7,370

Lifetime counters from Telegram’s own channel header, read 12 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.

Video runtime
39m 50s
Average length
5m 41s

Measured directly from 7 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.

Reaction mix

34 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 64.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2264.7%
👍617.6%
🔥617.6%

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 21 of the 71 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 37reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 71 most recent posts we hold, published 3 August 2026 to 11 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.

Recent posts

11 Aug 2026, 17:33 UTC136 viewsread 12 August 2026
Photo

#پیشنهاد_مطالعه 📌 مقاله 📚 نرم افزار پاورمیل Powermill چیست؟ چه کاربردی دارد؟ ⚙️ در همین ابتدا بگوییم که این یک مقاله ساده نیست؛ بلکه راهنمای تخصصی و نقشه راه شما برای تبدیل شدن به یک برنامه‌نویس CNC پنج‌محوره با بالاترین درآمد در صنعت ساخت و تولید بین‌المللی است. پس از خواندن این مقاله، درک خواهید کرد که نرم افزار پاورمیل چگونه پیچیده‌ترین پروژه‌های هوافضا، مکانیک و قالب‌سازی را مدیریت می‌کند و چرا یادگیری آن، بالا

11 Aug 2026, 16:27 UTC158 viewsread 12 August 2026
Photo

هم اکنون وبینار رایگان علم داده با پایتون لینک ورود مستقیم: https://www.skyroom.online/ch/pars_pajouhaan/webinar_cee

11 Aug 2026, 10:29 UTC186 viewsread 12 August 2026
Forwarded from @parspajouhaan_industry

اگه مهندس صنایع هستی یا به این حوزه علاقمندی این کانال و از دست نده👇 📊 معرفی و آموزش نرم‌افزارهای کاربردی مهندسی صنایع 📊 منابع آموزشی و فایل‌های تخصصی صنایع 📊 مشاوره و همکاری در انجام پروژه‌های مهندسی 📊 اطلاع‌رسانی موقعیت‌های شغلی و فرصت‌های کاری #ارسال_دوستان @parspajouhaan_industry

11 Aug 2026, 09:33 UTC224 viewsread 12 August 2026
Video

📕آموزش گام‌به‌گام حل مسئله جهت درک بهتر مفاهیم طراحی آزمایش‌ها. 💻دوره طراحی آزمایشات DOE 👈به صورت آنلاین و حضوری اطلاعات دوره👉کلیک #رسانه_باشیم 📌مشاوره و ثبت نام: 👨@Parspajouhaan ☎️021-88322992-93(101) وبسایت /کانال تلگرام / اینستاگرام / کانال بله

11 Aug 2026, 06:29 UTC216 views2 reactionsread 12 August 2026
Photo

🔥 فقط گرم کردن و سرد کردن فولاد نیست؛ عملیات حرارتی می‌تونه خواص یک قطعه رو کاملاً تغییر بده! شاید ظاهر قطعه بعد از عملیات حرارتی خیلی متفاوت نباشه، اما درونش اتفاق‌های مهمی افتاده؛ ریزساختار تغییر می‌کنه و به‌دنبال اون سختی، چقرمگی، شکل‌پذیری و مقاومت قطعه هم تغییر می‌کنه. 🔸 آنیل برای کاهش سختی و افزایش شکل‌پذیری 🔸 نرماله کردن برای بهبود و یکنواختی ساختار 🔸 کوئنچ برای افزایش سختی 🔸 تمپر برای کاهش تردی و بهبود چقرمگی

🔥2

10 Aug 2026, 19:24 UTC288 views1 reactionsread 12 August 2026
Photo

📌سرفصل های دوره طراحی و ساخت پرینتر 3 بعدی: 📍تاریخچه چاپگرهای سه بعدی 📍روش های چاپ سه بعدی 📍روش چاپ سه بعدی FDM،مزایا و معایب آن نسبت به دیگر روش ها و انواع آن 📍آشنایی با تجهیزات مورد نیاز نظیر استپ موتورها،مدار کنترل و... 📍طراحی اولیه پرینتر در نرم افزار CATIA 📍ساخت و اسمبل یک پرینتر سه بعدی 📍پیکربندی پرینتر 📍پرینتر سه بعدی یک نمونه آزمایش و فاکتور های اساسی آن 📌مشاوره و ثبت نام: 👩🏻@parspajouhaan ☎️021-88322992 و

1

10 Aug 2026, 17:31 UTC283 viewsread 12 August 2026
Photo

#پیشنهاد_مطالعه 📌 مقاله 📚 آشنایی با یادگیری عمیق با پایتون Deep Learning (کاربردها و بازار کار) ⚙️ امروزه و با ظهور فناوری‌هایی مانند هوش مصنوعی، موضوع یادگیری عمیق بسیار مورد توجه قرار گرفته است. یکی از ابزارهای مورد استفاده برای این مفهوم، پایتون است. در مقاله چرا پایتون بهترین انتخاب برای مهندسین است؟ کاربردها و مسیر یادگیری، بیان شد که متخصصان می‌توانند با استفاده از کتابخانه‌های پایتون، روی برنامه‌های تحلیل دا

10 Aug 2026, 17:24 UTC238 viewsread 12 August 2026
Photo

🔥فقط دو نفر تا قطعی شدن🔥 (تخفیف ویژه تا قطعی شدن دوره) 🔔فراخوان ثبت نام🔔 🔸اصول و جزئیات جوشکاری لیزر ⏰ 24 ساعت ✅لینک ثبت نام👉🏻کلیک 📌مشاوره و ثبت نام: 👤@parspajouhaan ☎️021-88322992-101 وبسایت / کانال تلگرام / اینستاگرام

10 Aug 2026, 16:29 UTC226 views1 reactionsread 12 August 2026
Photo

📌 وبینار آموزش رایگان علم داده 🧑‍💻مدرس: خانم فاطمه زهرا الهی ⏰زمان:سه شنبه20مرداد ساعت20 🔰در ساعت برگزاری دوره با گزینه مهمان وارد لینک زیر شوید: https://skyroom.online/ch/pars_pajouhaan/webinar_cee 📌مشاوره و ثبت نام: 👤@parspajouhaan ☎️021-88322992 وبسایت / کانال تلگرام / اینستاگرام / کانال بله

1

10 Aug 2026, 14:32 UTC251 views1 reactionsread 12 August 2026
Photo

🔥دوره های در حال برنامه ریزی برای برگزاری مهندسی مواد: 🟡VT بازرسی چشمی جوش 🟡Key shot رندرینگ با 🟡Fittmentsانطباقات 🟡MOLDFLOW تحلیل فرآیند تزریق پلاستیک 🟡CATIA طراحی مقدماتی قالب پلاستیک در 🟡CATIA طراحی پیشرفته قالب پلاستیک در 🟡Fixture and Gaugeطراحی گیج و فیکسچرهای کنترلی 🟡Forgeطراحی قالب های 🟡 Geomagic Control X 🟡Essayمقاله نویسی 🟡Pyhon پیشرفته 🟡pythonیادگیری عمیق 🟡Python یادگیری ماشین 🟡PowerMill 🟡UTبازرسی جوش به ر

1

10 Aug 2026, 13:31 UTC264 viewsread 12 August 2026
File

📘 کتاب شکل‌دهی فلزات هاسفورد | Hosford اگه به مهندسی مکانیک، ساخت‌وتولید و مهندسی مواد علاقه داری، کتاب Metal Forming: Mechanics and Metallurgy از William F. Hosford یکی از منابع مهم برای فهم علمی فرایندهای شکل‌دهی فلزاته. به چه دردی می‌خوره؟ کمکت می‌کنه بفهمی فلزات چطور تحت نیرو تغییر شکل پلاستیک میدن و چطور میشه فرایندهای شکل‌دهی رو تحلیل و طراحی کرد؛ از نورد و فورج تا اکستروژن و کشش عمیق. بعد از خوندنش یاد می‌گیری

10 Aug 2026, 10:27 UTC227 viewsread 12 August 2026
Forwarded from @bioparspajouhaan

اگه مهندس پزشک هستی یا به این حوزه علاقمندی این کانال و از دست نده👇 🩺 اطلاع‌رسانی وبینارها و کارگاههای تخصصی 🩺 معرفی و آموزش نرم‌افزارهای کاربردی مهندسی پزشکی 🩺 منابع آموزشی و فایل‌های تخصصی مهندسی پزشکی 🩺 مشاوره و همکاری در انجام پروژه‌های مهندسی 🩺 اطلاع‌رسانی موقعیت‌های شغلی و فرصت‌های کاری #ارسال_دوستان @bioparspajouhaan

Showing the 12 most recent of 71 posts we hold for @materials_parspajouhaan. 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

@materials_parspajouhaan edited 1 post 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
8 August 2026
Most recent edit
8 August 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

6 Aug 2026, 09:32 UTCAnonymous Poll56 voters

کدام شیوه برگزاری دوره را ترجیح می‌دهید؟

  1. 🏢دوره حضوری36%
  2. 🧑‍💻دوره آنلاین زنده25%
  3. 🎥دوره ویدئویی آفلاین (آموزش ضبط‌شده)39%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 71 most recent posts we hold, published 3 August 2026 to 11 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 6,784 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 48 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

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@civil_arch · 86,070
5 posts
ایردراپ و رمز ارز
@digital_bitcoin_free · 12
4 posts
کاریابی تهران
@kariabi_tehran · 10,238
4 posts
انجمن علمی دانشجویی مواد و متالورژی دانشکده فنی شهید منتظری مشهد
@ssmm_mit · 67
4 posts
دانشجویان دانشگاه اصفهان
@ui_students · 10,312
4 posts
مهندسی پزشکی پارس پژوهان
@bioparspajouhaan · 7,536
3 posts
نفت و گاز، تاسیسات و انرژی پارس پژوهان
@Installations_Energy · 5,279
3 posts
انجمن علمی متالورژی دانشگاه آزاد کرج
@metallurgy_anjoman_kiau · 72
3 posts
دانشگاه علوم پزشکی اصفهان
@mui_ac · 12,303
3 posts
ABAQUS PARSPAJOUHAAN
@abaqusparspajouhaan · 2,965
2 posts
مهندسی هوافضا پارس پژوهان
@Aerospace_ParsPajouhaan · 5,250
2 posts
cadcamschooL| مدرسه ساخت و تولید
@cadcamschool · 8,455
2 posts
دیوار پروژه
@divar_proje · 6,909
2 posts
آموزش کتیا و سالیدورک
@iranrtncom · 11,623
2 posts
Metallurgy_usb
@metallurgy_usb · 86
2 posts
Production Line
@ProductionLine · 25,761
2 posts
𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐘𝐚𝐫𝐚
@project_yara · 979
2 posts
انجمن علمی مهندسی برق
@electricqomanj · 85
1 post
FLUID MECHANICS parspajouhaan
@fluentparspajouhaan · 1,103
1 post
حمیدرضا سمیع پور HAMIDREZA SAMIPOUR
@hsamipour · 581
1 post
پتروشیمیا
@petrochemia · 3,237
1 post
رسانه خبری دانشجویان
@resane_daneshjoo · 2,881
1 post

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.

“مهندسی مواد پارس پژوهان” (@materials_parspajouhaan), 6,558 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/materials_parspajouhaan.

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.