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 99% 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.
Matching posts — open both and compare (2 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 2 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 7 comparable posts for this entry, running 27 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 2, the earliest publisher we hold is @hamyarmavad — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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.
11 measurements spanning 30 days, net +115. 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 2,549–2,699 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Sept 2026, 22:42
2,682
+11
1 Sept 2026, 22:15
2,671
-1
29 Aug 2026, 14:55
2,672
+1
27 Aug 2026, 00:27
2,671
+2
23 Aug 2026, 14:13
2,669
+10
20 Aug 2026, 09:08
2,659
+75
17 Aug 2026, 09:57
2,584
+8
13 Aug 2026, 10:24
2,576
+3
10 Aug 2026, 00:28
2,573
+7
7 Aug 2026, 02:10
2,566
-1
6 Aug 2026, 15:47
2,567
first reading
Engagement
11 posts held, back to 23 June 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
8 reactions across 6 posts, in 4 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
👍
4
50.0%
🙏
2
25.0%
👌
1
12.5%
🔥
1
12.5%
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 6 of the 11 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 23 June 2026 to 4 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.
🔩 پایپینگ؛ ستون فقرات هر واحد صنعتی
در این دوره جامع، مفاهیم پایپینگ با رویکرد کاملاً صنعتی و کاربردی آموزش داده میشود تا بتوانید با اطمینان بیشتری وارد بازار کار شوید یا دانش فنی خود را ارتقا دهید.
🎁 تخفیف ۳۰٪ فقط برای ۵ نفر اول
📚 ویژگیهای دوره:
• ۱۲ ساعت آموزش جامع و کاربردی
• برگزاری آنلاین همراه با ضبط کامل جلسات
• اعطای گواهی پایان دوره معتبر
• شروع دوره از ۱۷ مرداد
‼️توجه ظرفیت باقی ۳ نفر می باشد .
📩 برا…
❌️بخش تحقیق و توسعه شرکت
ABDI ADDITIVE
تقدیم میکند❌️
💎با بیش از یازده سال فعالیت تخصصی آکادمیک و صنعتی در حوزه فناوری پرینت سه بعدی فلزات همراه شما هستیم💎
✅️پرینتر فلزی رومیزی✅️
اگر دنبال نمونهسازی سریع، تولید قطعه دقیق، کاهش هزینههای برونسپاری و ورود جدی به دنیای پرینت فلز هستید، این دقیقاً همون گزینهایه که باید ببینید.
مناسب برای مطب دندانپزشکی و لابراتوارهای دندانسازی، دانشگاه و پژوهش، مهندسی و قطعهسازی صنعتی
✅️ سطح ساخت بزرگتر (۱۰۰ سانتی متر مربع) نسبت به دیگر انواع پرینترهای فلزی رومیزی (۷۸ سانتی متر مربع)
✅️ قابلیت پرینت انواع آلیاژهای کبالت کروم، نیکل ک…
🔬 فناوریهای نوین اتصال
روش سنتی اتصال با چسب، گاهی با چالشهایی مانند لایهلایهشدن مواجه است. به همین دلیل، روشهای جدیدتری نیز توسعه یافتهاند:
@hamyarmavad
جوشکاری اصطکاکی اغتشاشی (FSW):
این روش برای اتصال ورقهای بسیار نازک آلومینیوم بدون نیاز به چسب، بسیار کارآمد است و استحکام بالاتری ایجاد میکند.
جوشکاری نقطهای و انتشاری:
در روشی دیگر، ابتدا نوارهای موجدار توسط جوش نقطهای به هم متصل شده و سپس کل مج…
ساخت هستههای زنبوری آلومینیومی
------ـ-ـ-ـ-ـ-ـ-ـ-ـ-ـ-ـ-ـ-ـ-ـ-ـ--------
در بدنه هواپیما، فرآیندی دقیق برای تولید ساختاری فوقسبک و فوقمقاومت است.
@hamyarmavad
این هستهها معمولاً با دو روش اصلی فرآیند انبساط (برای چگالی کم) و فرآیند شیاردار (برای چگالی بالا) ساخته میشوند .
در ادامه، مراحل رایجترین روش یعنی فرآیند انبساط را به صورت گامبهگام توضیح میدهیم:
1. آمادهسازی فویل:
ورقهای نازک آلومینیومی (معمولا…
چند روز قبل در پیج اینستاگرام همیار مواد یه پست درباره کاربرد آلومینیوم لانه زنبوری منتشر کردیم.
پست زیر 👇
https://www.instagram.com/reel/DbSzw9lxcoo/?igsh=NmNwemM3dDhlNnE1
و در ادامه میخوایم شما رو با ساخت هسته های زنبوری آلومینیوم آشنا کنیم.
👇👇👇👇
💧 دانشمندان تراشه مایع ساختند؛ پردازش با حرکت ذرات در یک قطره مایع
🔬 پژوهشگران آلمانی نوع جدیدی از رایانه را توسعه دادهاند که به جای تراشههای سیلیکونی، از حرکت 400 ذره بسیار کوچک داخل یک مایع برای انجام محاسبات استفاده میکند.
⚙️ در این سیستم، ذرات سیلیکا با کمک لیزر کنترل میشوند و حرکتهای پیچیده و حتی ظاهراً نامنظم آنها به پردازش دادهها کمک میکند. این تعاملات باعث میشود رایانه بتواند الگوهای پیچیده را پیش…
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Signed YaqouB Avazpour
Showing the 11 most recent of 11 posts we hold for @hamyarmavad. 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.
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.
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 11 most recent posts we hold, published 23 June 2026 to 4 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.
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 1 registered channel — 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
[ خدا ] @Khoda · 82,603 Telegram ranks this channel #81 of 81 here — alongside 80 others — read 18 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“همیار مواد [کانال مواد و متالورژی]” (@hamyarmavad), 2,682 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/hamyarmavad.
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.