Telegram RegisterThe public register of Telegram

Channel

انجمن‌ علمی مهندسی مواد دانشگاه تبریز

@material_t

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry

1,304subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001247277519
TypeChannel
Username@material_t
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/material_t

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 1 other registered channel. They sit inside a group of 3 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
@animal_science_iut/50318 Jul 2026, 13:12 UTC@material_t/3745 · this entry19 Jul 2026, 10:38 UTC1.0021 hours
@animal_science_iut/50418 Jul 2026, 13:12 UTC@material_t/3746 · this entry19 Jul 2026, 10:38 UTC1.0021 hours
@animal_science_iut/50518 Jul 2026, 13:13 UTC@material_t/3747 · this entry19 Jul 2026, 10:38 UTC1.0021 hours
@animal_science_iut/50618 Jul 2026, 13:13 UTC@material_t/3748 · this entry19 Jul 2026, 10:38 UTC1.0021 hours
@material_t/3750 · this entry22 Jul 2026, 05:28 UTC@animal_science_iut/50922 Jul 2026, 05:43 UTC1.0016 minutes
@material_t/3751 · this entry22 Jul 2026, 05:28 UTC@animal_science_iut/51022 Jul 2026, 05:43 UTC1.0016 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@animal_science_iut6 (6/6 hand-verifiable sample passed)1.0021 hours@animal_science_iut (42)

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 4 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 15 comparable posts for this entry, running 15 July 2026 to 4 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 3, the earliest publisher we hold is @animal_science_iut. 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 2 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

1,3041,3051,304.56 August 2026 — 1,305 subscribers6 August 2026 — 1,305 subscribers12 August 2026 — 1,304 subscribers6 August 202612 August 2026
3 measurements spanning 7 days, net -1. 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 1,304–1,305 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 21:291,304-1
6 Aug 2026, 08:051,305no change
6 Aug 2026, 05:561,305first reading

Engagement

20 posts held, back to 15 July 2026the 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
21.6%
avg views ÷ 1,304 subscribers
Avg views / post
281
19 posts measured
Reaction rate
0.596%
reactions ÷ views · ER floor
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. It is computed over the 6 of 19 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 4 August 2026
Posts held20 (15 July 20264 August 2026)
Views total5,347
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 08:05 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.

Recent posts

4 Aug 2026, 08:02 UTC≈103 viewsread 6 August 2026
Forwarded from @biomed_testPhoto

🟢 میخوای واسه کنکور ارشد مهندسی پزشکی شروع کنی ولی نمی‌دونی باید چیکار کنی؟ 🔵 نگران نباش. بایومدتست تا روز کنکور کنار شماست. ✅ برای شروع ی وبینار رایگان ولی مهم رو براتون آماده کردیم و قراره تو این وبینار مسیر رو واستون بررسی کنیم. 🟢 توی این وبینار مسیر کنکور ارشد بیومتریال و بافت، بیومکانیک و بیوالکتریک توسط مشاوران و مدرسان گروه آموزشی بایومدتست بررسی خواهد شد. 🟣 زمان برگزاری و محل برگزاری: جمعه ۱۶ مرداد ساعت

4 Aug 2026, 07:08 UTCviews —

انجمن‌ علمی مهندسی مواد دانشگاه تبریز pinned a photo

4 Aug 2026, 07:07 UTC≈102 views1 reactionsread 6 August 2026
Forwarded from @AbankoPhoto

🌟 دوره آموزشی پایپینگ (Piping) 🔅 پایپینگ؛ یکی از پرتقاضاترین مهارت‌های صنعت 〽️ اگر می‌خواهید از صفر با اصول، استانداردها و مفاهیم پایپینگ آشنا شوید، این دوره دقیقاً برای شماست. 👨🏻‍🏫 مدرس: مهندس سجودی کارشناس ارشد مهندسی پایپینگ با بیش از ۲۰ سال تجربه در پروژه‌های نفت، گاز و صنایع فرآیندی 🔗 سیلابس کامل دوره 📚 ۱۵ ساعت آموزش کاربردی 💻 برگزاری آنلاین + دسترسی به ویدیوهای ضبط‌شده 🎓 همراه با گواهینامه معتبر 💰 قیمت ویژه

3 Aug 2026, 07:53 UTC≈120 viewsread 6 August 2026
Photo

📌آینده موفق تحصیلی و شغلی که به دنبال آن هستید از اینجا شروع میشه ... 📝 وبینار رایگان معرفی چهاردهمین رویداد آموزشی کشوری به میزبانی انجمن های علمی برتر 💠 به صورت آنلاین و آفلاین 💠 🔹با ارائه جذاب استاد بلامنازع صنعت و دانشگاه، بهترین مربی تربیت پژوهشگر، آقای کارگاه آنلاین کشور (دکتر سید مجتبی شفاعی) http://www.shafaeism.ir https://t.me/Iranian_Mr_Workshop 📆 زمان برگزاری: 3 شهریور ماه 1405 ساعت 18 حضور برای تمامی

3 Aug 2026, 07:46 UTC≈111 viewsread 6 August 2026
Forwarded from @graduates_qutPhoto

📌دوره آموزشي محلول سازی و روش های جداسازی GC, HPLC 🔖صدور گواهي حضور معتبر به زبان انگليسي 📝سرفصل های دوره: 1️⃣ مبانی محلول‌سازی در شیمی تجزیه 2️⃣ محاسبات عملی محلول‌سازی 3️⃣ آماده‌سازی نمونه برای آنالیز دستگاهی 4️⃣ آشنایی با تکنیک‌های جداسازی 5️⃣ اصول کروماتوگرافی گازی (GC) 6️⃣ محلول‌سازی و تزریق در GC 7️⃣ اصول کروماتوگرافی مایع (HPLC) 8️⃣ فاز متحرک و محلول‌سازی در HPLC 9️⃣ محلول‌های استاندارد و کالیبراسیون 🔟 عیب‌ی

28 Jul 2026, 19:40 UTC≈516 viewsread 6 August 2026
Photo

#یادآوری 📌 قابل توجه متقاضیان پذیرش بدون آزمون استعدادهای درخشان دانشگاه تبریز در مقطع كارشناسي ارشد و دكتري تخصصي برای سال تحصیلی ١٤٠٦-١٤٠٥: 📋 شرايط و مهلت اعلام انصراف پذيرفته شدگان بدون آزمون استعدادهاي درخشان دانشگاه تبريز در مقاطع كارشناسي ارشد و دكتري تخصصي براي سال تحصيلي ١٤٠٦-١٤٠٥ اعلام شد. برای دريافت اطلاعات تكميلي، به لینک زیر در وب سایت رسمی گروه حمایت از استعدادهای درخشان دانشگاه تبریز مراجعه نمائید.

28 Jul 2026, 19:39 UTC≈141 viewsread 6 August 2026
Forwarded from @Materials_utPhoto

📃🔵 انجمن علمی مهندسی متالورژی و مواد دانشگاه تهران برگزار می‌کند: 📌 دوره‌ی مجازی آموزش نرم‌افزار Chemdraw 👤 مدرس: جناب آقای مهندس محمد مهردار 🔗 رزومه مدرس 🗓 زمان برگزاری دوره: ۱۸ مردادماه ۱۴۰۵ ساعت: ۱۸ الی ۱۹:۳۰ 💳 هزینه‌ی ثبت نام دوره: 🔵 برای دانشجویان دانشگاه تهران: ۱۰۰ هزار تومان ⚪️ برای سایر دانشگاه‌ها: ۱۵۰ هزار تومان 🟠 ثبت‌نام آزاد: ۲۰۰ هزار تومان ظرفیت محدود 🔴 گواهی‌نامه انگلیسی و دو زبانه از دانشگاه ته

22 Jul 2026, 05:33 UTC≈655 viewsread 6 August 2026

نحوه استفاده از کد تخفیف: 1. وارد سایت ثبت‌نام مدرسه تابستانه شوید. 2. دوره موردنظر خود را انتخاب و وارد صفحه ثبت‌نام شوید. 3. در بخش «کد تخفیف»، کد اختصاصی انجمن خود را وارد کنید. 4. روی گزینه «اعمال کد تخفیف» کلیک کنید تا ۲۰٪ تخفیف روی مبلغ دوره اعمال شود. 5. سپس فرآیند ثبت‌نام را تکمیل نمایید.

22 Jul 2026, 05:28 UTC≈172 viewsread 6 August 2026
Photo

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 🔬 دوره جامع آموزش و تحلیل کیفی داده‌های XRD آموزش تخصصی نرم‌افزار X'Pert HighScore Plus 👨‍🏫 مدرس: دکتر وحید صباغی 🔹 پژوهشگر پسادکتری نانوفناوری، دانشگاه صنعتی اصفهان 🔹 دکتری تخصصی علوم و فناوری نانو، دانشگاه تهران سرفصل‌های دوره ✅ مبانی پراش پرتو ایکس (XRD) ✅ ساختار بلوری، شبکه‌های کریستالی و پارامترهای شبکه ✅ صفحات کریستالی، اندیس میلر و روش تعیین آن‌ها ✅ مکانیزم پراش و بره

22 Jul 2026, 05:28 UTC≈262 viewsread 6 August 2026
Photo

🟢 پنجمین مدرسه تابستانه نانوفناوری ایران 🔬 دوره جامع آموزش و تحلیل آنالیز کمی پراش پرتو ایکس (XRD) 💻 همراه با آموزش نرم‌افزار MAUD 👨‍🏫 مدرس: دکتر وحید صباغی 🔹پژوهشگر پسادکتری نانوفناوری، دانشگاه صنعتی اصفهان 🔹دکتری تخصصی علوم و فناوری نانو، دانشگاه تهران 🔹مدرس برتر نانوفناوری کشور 📚 سرفصل‌های دوره: ✅ اصول آنالیز کمی و روش ریتولد ✅ آموزش تحلیل داده‌های XRD با نرم‌افزار MAUD ✅ تعیین اندازه کریستالیت، اندازه دانه و ا

Showing the 12 most recent of 20 posts we hold for @material_t. 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 — 222,502 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 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.

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.

“انجمن‌ علمی مهندسی مواد دانشگاه تبریز” (@material_t), 1,304 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/material_t.

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.