5 measurements spanning 22 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 433–435 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Aug 2026, 09:13
433
-1
21 Aug 2026, 02:17
434
-1
14 Aug 2026, 21:47
435
+1
6 Aug 2026, 19:18
434
no change
5 Aug 2026, 23:23
434
first reading
Engagement
13 posts held, back to 23 August 2022 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 11 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
16 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 43.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
7
43.8%
❤
5
31.3%
🤔
3
18.8%
👎
1
6.25%
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 9 of the 13 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 23 August 2022 to 11 June 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.
✅فرآیند اسکن سه بعدی(اپتیک)
اسکن سه بعدی یک تکنیک برای استخراج شکل یک شی توسط دستگاه اسکنر سه بعدی است. نتیجه آن یک فایل 3 بعدی و 360 درجه از شی بر روی کامپیوتر است.
یک فایل استخراج شده سه بعدی با نرم افزارهای طراحی به کمک کامپیوتر (CAD) مانند کتیا و … سازگار بوده و نیز می توان با پرینتر سه بعدی آن را پرینت کرد. بعد از وارد کردن فایل در نرم افزارهای CAD می توان اطلاعات زیادی در مورد مختصات نقاط مختلف شی اسکن شده بد…
🔘 قالب پروگرسیو قالبی است که در آن قطعه کار طی چند مرحله (منظور چند ضربه پرس) و به صورت پشت سر هم تولید گردد که به آن تولید چند مرحله ای نیز گفته می شود .
این عملیات های پشت سر هم ممکن است شامل عملیات کشش ، برش و خمش شود که در نتیجه قطعه نهایی را تولید می کند .
#پروگرسیو #پروگراسیو
#Progressive
_______________________
@Qut_Mechanical_Tools
🔘 تولید صندلی پلاستیکی با روش تزریق پلاستیک
#تزریق_پلاستیک
#قالب #قالب_تزریق_پلاستیک
#Mold_injection
#Plastic_mold_injection
_________________________
@Qut_Mechanical_Tools
✅ Universal law of the wall!
✅ نحوه محاسبه +y سیال اطراف دیواره ها
The graph shows the actual velocity profile written in its non-dimensional form.
This is the real variation of velocity normal to the wall, which was extracted from experimental measurements of fully developed turbulent flow between two parallel plates.
It is called universal because flow very close to the wall looks similar regardless of applicat…
Showing the 12 most recent of 13 posts we hold for @Qut_Mechanical_Tools. 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.
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
@Qut_Mechanical_Tools 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.
@qut_mechanica_tools named in 1 post, 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 28 August 2026 — this
entry's latest reading, not the date you are reading this.
“Qut's Mechanical Tools” (@Qut_Mechanical_Tools), 433 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/Qut_Mechanical_Tools.
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.
