Technology — 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 10 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 the other topics.
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 in near-verbatim form on 12 other registered channels. This entry also sits inside a group of 56 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 120 of the 125 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 203 comparable posts for this entry, running 2 August 2026 to 10 November 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).
Of the group of 56 channels, the one whose matching posts we hold earliest is @roidbest. 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 11 November 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.
Channels linked by matching posts
This channel is in a group of 56 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
5 more channels are in this same group but not listed individually here.
Growth
62 measurements spanning 95 days, net -1,087. 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 21,195–22,744 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
10 Nov 2026, 06:31
21,393
-3
8 Nov 2026, 20:56
21,396
+22
7 Nov 2026, 10:08
21,374
-3
6 Nov 2026, 07:31
21,377
-15
5 Nov 2026, 05:38
21,392
-2
4 Nov 2026, 04:38
21,394
-10
3 Nov 2026, 02:55
21,404
-5
2 Nov 2026, 04:18
21,409
-4
1 Nov 2026, 07:06
21,413
-11
31 Oct 2026, 10:21
21,424
-1
30 Oct 2026, 06:56
21,425
-5
29 Oct 2026, 06:38
21,430
-13
28 Oct 2026, 04:55
21,443
-15
27 Oct 2026, 04:07
21,458
-2
26 Oct 2026, 04:58
21,460
-7
25 Oct 2026, 05:27
21,467
-24
24 Oct 2026, 05:07
21,491
-20
23 Oct 2026, 01:38
21,511
-10
22 Oct 2026, 04:10
21,521
-25
20 Oct 2026, 22:01
21,546
first reading
Engagement
246 posts held, back to 2 August 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 86 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.09%
avg views ÷ 21,393 subscribers
Avg views / post
1,300
50 posts measured
Reaction rate
1.21%
reactions ÷ views · ER floor
Posts in window
50
of 246 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
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
246 (2 August 2026 – 10 November 2026)
Views total
65,166
Reactions total
788
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 03:16 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
≈4,260
Videos
≈270
Links
≈714
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Reaction mix
4,303 reactions across 246 posts, in 19 distinct kinds. The most used accounts for 35.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,507
35.0%
🤣
938
21.8%
👍
531
12.3%
💔
458
10.6%
👎
188
4.37%
🔥
147
3.42%
😁
137
3.18%
😭
108
2.51%
😐
80
1.86%
🤬
79
1.84%
😱
44
1.02%
🤮
30
0.697%
❤🔥
26
0.604%
😢
7
0.163%
💯
6
0.139%
🕊
6
0.139%
😍
5
0.116%
🤯
5
0.116%
👏
1
0.023%
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 246 of the 246 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 4,303 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 246 most recent posts we hold, published 2 August 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 0 of 50 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🔴هوش مصنوعی متا سن واقعی شما رو حدس میزنه...
▪️متا اعلام کرده که سیستم تخمین سن مبتنی بر هوش مصنوعی خودش رو بهصورت جهانی فعال میکنه تا میلیونها نوجوون توی کل دنیا رو مستقیما به حالت Teen Account بفرسته.
❗️فرقی نمیکنه موقع ساخت اکانت اینستاگرام تاریخ تولدتون رو ۱۸+ زده باشید یا نه.
الگوریتمهای هوش مصنوعی رفتار، چتها و تعاملهای شما رو زیر نظر میگیرن و به محض اینکه متوجه بشن یوزر نوجوونه، بهطور اتوماتیک اکانت …
با مکتبخونه، بورسیهی دانشگاه هاروارد شو!
🎉 مکتبخونه به مناسبت تولد ۱۵ سالگیش یک قرعهکشی ویژه برگزار کرده؛
از بورسیه دوره آموزشی دانشگاه هاروارد به ارزش ۲۰۰۰ دلار گرفته تا اشتراک ChatGPT Plus و مکتبخونه داره جایزه میده.
🔥 علاوه بر جوایز قرعهکشی، تخفیفهای ویژه تولد مکتبخونه هم فعال شده:
▪️ ۸۰٪ تخفیف اشتراک یکساله
▪️ تا ۷۰٪ تخفیف دورههای آموزشی
⏳ مهلت: تا ۲۲ آبان
🔗 برای مشاهده جوایز و شرایط شرکت در قرعه…
شماهم اگه فکر میکردید با حذف هیستوری گوگل دیگه تاریخچه سرچ هاتون دیده نمیشه باید عرض کنم که کور خوندین
با این سایت:
http://Myactivity.google.com
کل سابقهی سرچ گوگلتون رو میتونید ببینید؛
🆔️ @ghachtech
🔴وقتی عروسک هوشمند کودک به جای قصهگویی از خودکشی حرف میزند!
▪️وقتی برای کودکان عروسک سخنگو میخریم ، اوج نگرانیما اینه که نصفهشب بیهوا حرف بزنه و زهرهترکمون کنه! اما این روزها اسباببازیهای مجهز به هوش مصنوعی دردسرهای تازهای درست کردند؛ از آموزش کارهای خطرناک گرفته تا گفتوگو درباره موضوعاتی که اصلاً مناسب کودکان نیستند.
▪️یکی از این محصولات، عروسک خرگوششکل صورتیرنگی به نام «دوبائو» (Doubao) است که برای …
🔴 چطور از شرّ اعتیاد به ریلز اینستاگرام راحت بشیم؟
▪️ریلز اینستاگرام طوری طراحی شده که مغزت رو درگیر چرخه دوپامین کنه ، یه چرخوندن ساده حداقل ۲ ساعت از وقت ارزشمندت رو میگیره.
✅ بیاید باهم این تایم رو کنترل کنیم!
1️⃣ از خود اینستاگرام شروع کن :
• برو به بخش زیر و Take a break رو روی ۱۵ دقیقه فعال کن ... اینجوری هر ۱۵ دقیقه یک بار به اعلان تمام صفحه برات میاد!
Settings > Your activity > Time spent و "Take a Break…
📱دانلود آفلاین موزیکهای Spotify از طریق کامپیوتر!
📰یک ابزار رایگان به نام Spooty در GitHub منتشر شده که برای ذخیره آهنگها و لیستهای پخش مورد علاقه شما طراحی شده.
⚙️نحوه کارش بسیار سادهس :
این برنامه لیستی از آهنگها و یا پلی لیست شما رو از Spotify دریافت میکنه ، نسخههای اونارو در YouTube پیدا میکنه و فایلهای صوتی رو به صورت محلی در سیستم شما ذخیره میکنه.
🔗دانلود ابزار:
📱 https://github.com/TorMatzAndren/jar…
- این تصویر رو بدید به چت جی پی تی و این پرامپت رو براش بنویسید ؛ نتیجش خیلی جالبه حتما امتحان کنید :
Fill this room with what you know about me
🆔️ @ghachtech
⁉️ کلود از کجا میفهمه کاربر زیر ۱۸ ساله؟!
📰اخیرا ماجرای تعلیق حساب یک کاربر نوجوان در Claude خبرساز شده؛ آنتروپیک اعلام کرده اگر سیستم های نظارتی این سرویس نشانه هایی از استفاده افراد زیر ۱۸ سال پیدا کنن، ممکنه حساب رو غیرفعال کنن و درخواست احراز سن بدن.
- یه توصیه: موقع صحبت با چت بات ها، لازم نیست تمام جزئیات زندگی شخصیتون رو مطرح کنید. مثلا برای پرسیدن سوالات درسی، میتونید بدون گفتن نام مدرسه، پایه تحصیلی یا اطل…
ایشون یه کاربر ۱۶ ساله اس !!
کلاد خیلی صریح نوشته ما متوجه شدیم این اکانت داره توسط یک کودک ( از نظر قانونی و نه عقلی ) استفاده میشه !!! اینکه چطوری فهمیده و با چه دسترسی جای سواله ...
بعدها شاید معلوم بشه انتروپیک چون به خلوت میرفته آن کاره دیگر میکرده ...
🆔️ @ghachtech
یه مرد آلمانی گوگل رو کشوند دادگاه و برنده شد! 😂
▪️ماجرا از این قراره که یه شهروند آلمانی نمی خواست عکس خونه و حیاطش توی Google Maps و Google Earth دیده بشه.
▪️اول به گوگل نامه زد و درخواست کرد تصاویر ملکش رو حذف کنه، اما گوگل زیر بار نرفت! این آقا هم بیخیال نشد و شکایت کرد.
در نهایت دادگاه به نفعش رای داد و گوگل مجبور شد تصاویر بخش هایی از ملکش رو محو کنه.
🆔️ @ghachtech
🔴محدودیت اپاستور برای نوجوانها: عشق مجازی برای افراد زیر ۱۸ سال ممنوع
▪️اپل با بهروزرسانی قوانین ردهبندی سنی اپاستور، تمام اپلیکیشنهای دوستیابی و پارتنرهای مجازی مجهز به هوش مصنوعی رو در رده سنی بالای ۱۸ سال قرار میده.
▪️تا پیش از این ردهبندی سنی بالای ۱۸ سال بیشتر به بازیهای خشن، ابزارهای قمار یا محتوای غیراخلاقی اختصاص داشت؛ اما رشد چتباتهایی که در نقش «پارتنر مجازی» ظاهر میشن ، چالشهای تازهای ساخته.…
🤣12❤1👍1
Showing the 12 most recent of 246 posts we hold for @ghachtech. 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 recorded as deleted after publishing
We recorded 3 posts on @ghachtech as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
9 August 2026
Most recent seen missing
14 August 2026
Median time before seen missing
48 hours
Seen missing in the last 30 days
0
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@ghachtech 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@vnz_permiumvpn named in 2 posts, 13 August 2026 – 13 August 2026 · confirmed gone 15 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
HoseinAres @hoseinares · 97,976 Telegram ranks this channel #42 of 49 here — alongside 48 others — read 29 September 2026
Amir Mokhtari TV @AmirMokhtariTV · 19,816 Telegram ranks this channel #42 of 56 here — alongside 55 others — read 29 September 2026
Knight | شوالیه 🗡 @irknight95 · 19,308 Telegram ranks this channel #45 of 53 here — alongside 52 others — read 27 September 2026
Perfect bazi @perfectbazi · 97,505 Telegram ranks this channel #71 of 73 here — alongside 72 others — read 20 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“GhachTech | قاچ تِک” (@ghachtech), 21,393 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ghachtech.
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.