Software piracy — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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.
Growth
25 measurements spanning 91 days, net +282. 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 7,932–8,298 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Nov 2026, 11:50
8,256
+7
2 Nov 2026, 03:41
8,249
+47
30 Oct 2026, 10:15
8,202
+3
27 Oct 2026, 04:56
8,199
+21
24 Oct 2026, 13:39
8,178
+25
21 Oct 2026, 09:15
8,153
+19
17 Oct 2026, 23:38
8,134
+5
15 Oct 2026, 04:57
8,129
+15
12 Oct 2026, 06:58
8,114
+3
5 Oct 2026, 18:40
8,111
+7
27 Sept 2026, 22:57
8,104
+4
18 Sept 2026, 12:36
8,100
+4
14 Sept 2026, 14:01
8,096
+1
11 Sept 2026, 10:17
8,095
+14
6 Sept 2026, 17:00
8,081
+16
2 Sept 2026, 11:56
8,065
+13
30 Aug 2026, 08:34
8,052
+7
27 Aug 2026, 16:34
8,045
-1
24 Aug 2026, 07:12
8,046
+14
20 Aug 2026, 22:07
8,032
first reading
Engagement
38 posts held, back to 27 May 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 30 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
44.8%
avg views ÷ 8,256 subscribers
Avg views / post
3,700
17 posts measured
Reaction rate
0.727%
reactions ÷ views · ER floor
Posts in window
17
of 38 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 6 November 2026
Posts held
38 (27 May 2026 – 6 November 2026)
Views total
62,820
Reactions total
457
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 12:44 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
262
Videos
88
Links
608
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 52s
Average length
37s
Measured directly from 3 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
1,073 reactions across 38 posts, in 14 distinct kinds. The most used accounts for 58.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
630
58.7%
👍
264
24.6%
🙏
57
5.31%
🔥
49
4.57%
👏
41
3.82%
👎
17
1.58%
😍
3
0.28%
🥰
3
0.28%
🥴
3
0.28%
🤣
2
0.186%
🌭
1
0.093%
🐳
1
0.093%
💯
1
0.093%
🤩
1
0.093%
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 38 of the 38 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 1,073 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 27 May 2026 to 6 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: 4 of 17 posts held from the last 30 days (23.5%) 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).
اگر این براتون کار نمیکنه، نسخهای از نرم افزار که نصب دارید رو حذف کنید و نسخه جدیدش رو از این آدرس دانلود و نصب کنید. قبل از حذف نرم افزار فعلی از اکانتهایی که روش دارید بک آپ بگیرید(اگر یوزر و پسوردشون رو دارید لازم نیست).
https://github.com/armanlife/firefox-vpn-client
🎯به کانال زکات علم (تجربه نگاری) بپیوندید:
@tajrobenegaran
#زکات_علم
صرفا جهت اطلاع توییتریها:
۱) توی الگوریتم توییتر کپی کردن لینک یک توییت بیشتر از ریتوییت و لایک در تنظیم استریم و فوریو (مطالب پیشنهادی توییتر به شما) تاثیر دارد(۲۰ برابر ریتوییت و ۴۰ برابر لایک)، یعنی با کپی کردن لینک توییتهایی خاص به توییتر پیام میدید که به نوع محتوا و این موضوع علاقمندید و باز هم از نوع و موضوع به شما پیشنهاد بدهد. با این ترفند میتوانید استریم خودتان را مطابق سلیقه و خواست خودتان تنظی…
#زکات_علم
برای آپلود فایل صوتی یا هر فایلی که حجمش بالاست و به صورت عادی در NotebookLM آپلود نمیشه این روش رو به کار ببرید:
اول بدون فیلترشکن فایلتون رو توی گوگل درایو آپلود کنید، بعد وارد NotebookLM بشین و از قسمت منابع، دکمه درایو رو بزنید و فایل مورد نظر رو از داخل گوگل درایو انتخاب کنید و خلاص
🎯به کانال زکات علم (تجربه نگاری) بپیوندید:
@tajrobenegaran
#زکات_علم
اگر ویدئوی آموزشی یا سیاسی در توییتر دید که به زبان دیگری است میتونید لینک اون توییت رو کپی کنید و در سایت زیر بگذارید. این سایت بصورت رایگان و بدون نیاز به ثبتنام کل متن اون ویدئو همراه با زمان بندیش رو براتون استخراج میکنه و فایل زیرنویسش با فرمتهایی مانند srt رو هم بهتون میده که میتونید این متن رو با کمک هر مترجمی به فارسی ترجمه کنید. البته اگر به قسمت tools در منوی سایت بروید با کلی ابزار کاربردی را…
من روزانه تعدادی ابزار جدید از هوش مصنوعی و ... پیدا میکنم که فرصت نمیکنم تستشون کنم. به نظرتون به همون شکل صرفا معرفی توی گروه بذارمشون یا فقط ابزارهایی بذارم که خودم امتحان کردم؟
پ.ن: این مطالب برای کاربردهای مختلف و سطوح مختلفی از اطلاعات فنی است.
معرفی کن68%
معرفی نکن32%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
#زکات_علم
دوستانی که برای دسترسی به هوش مصنوعیها مثل Gemini مشکل دارید این نرم افزار رو که در واقع vpn مرورگر firefox هست رو استفاده کنند. هم نسخه اندروید دارد هم نسخه ویندوز. من هنوز نسخه ویندوزش رو امتحان نکردم. نسخه اندروید رو با اینترنت ایرانسل استفاده کردم. برای استفاده باید اکانت فایرفاکس داشته باشید که می تونید از لینک زیر بسازید:
https://accounts.firefox.com/
پیشنهاد می کنم با ایمیل موقت چندتا اکانت توی فایر…
#زکات_علم
یکی از مهارتهایی که این روزها داره برای اکثر کاربران هوش مصنوعی با هر تخصصی ضروری میشه vibe coding است. اگر برنامه نویس حرفهای نیستید اما میخواین از طریق هوش مصنوعی سایت یا نرم افزاری برای رفع نیاز تخصصی یا شخصی خودتون بسازید یا حتی از این راه کسب درآمد کنید این مهارت رو حتما یاد بگیرید. مثلا فرض کنید میخواهید یک نرم افزار برنامه ریزی شخصی متناسب با نیاز خودتون بسازید(چیزی که در بازار موجود نباشه) یا یک ن…
#زکات_علم
ایدههای ساده فارسی خود را به پرامپتهای مهندسیشده و دقیق انگلیسی برای هوش مصنوعی تبدیل کنید.
پروژه PromptCompiler بهجای ترجمه تحتاللفظی، پیامهای فارسی شما را مانند یک کامپایلر دقیق تحلیل میکند و با استخراج قصد واقعی کاربر، آنها را به پرامپتهای استاندارد، ساختاریافته و ضد توهم برای مدلهای زبانی و ایجنتهای کدنویسی تبدیل میسازد.
https://github.com/Astr0Net/PromptCompiler
🔗 Persian GitHub (@Persia…
#زکات_علم
ابزاری سریع و تحتوب برای تبدیل متون فارسی و خروجیهای هوش مصنوعی به اسناد شکیل PDF و Word.
خروجی مدلهای زبانی معمولاً متنی خام و فاقد چیدمان یا فونت مناسب است. این ابزار تحتوب نشانهگذاریهای اضافی را پاکسازی کرده و متن را با فونتهای استاندارد فارسی، جداول و چیدمان صحیح راستبهچپ آمادهٔ چاپ میکند.
قابلیت اتصال به مدلهای مختلف هوش مصنوعی، رندر فرمولهای ریاضی، هایلایت سینتکس زبانهای برنامهنویسی و…
#زکات_علم
ربات تلگرامی برای دانلود ویدئو و عکس و گیف و کپشن توییتهای توییتر و گرفتن متن رشته توییت و گرفتن اسکرین شات از توییتها و صفحات توییتر:
@Xcapturebot
🎯به کانال زکات علم (تجربه نگاری) بپیوندید:
@tajrobenegaran
#زکات_علم
یه ربات تلگرام که میتونید باهاش از بیشتر از ۱۷۰۰ تا سایت ( اینستاگرام، تیک تاک و توییتر و …) دانلود کنید کاملا رایگان و اپن سورس و بدون هیچ عضویت داخل هیچ کانالی :
https://t.me/FileFromLinkBot
🎯به کانال زکات علم (تجربه نگاری) بپیوندید:
@tajrobenegaran
#زکات_علم
دواوین، یک آرشیو قوی از شعر فارسی و عربی رو یه جا جمع کرده:
https://dawawin.ir
🎯به کانال زکات علم (تجربه نگاری) بپیوندید:
@tajrobenegaran
🔥11❤5👏4
Showing the 12 most recent of 38 posts we hold for @tajrobenegaran. 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.
من روزانه تعدادی ابزار جدید از هوش مصنوعی و ... پیدا میکنم که فرصت نمیکنم تستشون کنم. به نظرتون به همون شکل صرفا معرفی توی گروه بذارمشون یا فقط ابزارهایی بذارم که خودم امتحان کردم؟
پ.ن: این مطالب برای کاربردهای مختلف و سطوح مختلفی از اطلاعات فنی است.
معرفی کن68%
معرفی نکن32%
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 38 most recent posts we hold, published 27 May 2026 to 6 November 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 6 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.
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.
Handles this channel named that no longer answer
Dead references
6
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
5
vacant every time we have ever looked
@tajrobenegaran named 6 handles 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.
@filepishnehadi named in 5 posts, 8 August 2026 – 26 August 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@evolution_irrr named in 5 posts, 8 August 2026 – 26 August 2026
@gozarketab named in 5 posts, 8 August 2026 – 26 August 2026
@gray_books named in 5 posts, 8 August 2026 – 26 August 2026
@ketabestaneman named in 5 posts, 8 August 2026 – 26 August 2026
@persiangithub named in 2 posts, 7 November 2026 – 7 November 2026
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.
آموزش مقاله و پایان نامه نویسی @dr_amaniiii · 61,982 Telegram ranks this channel #16 of 79 here — alongside 78 others — read 21 August 2026
کتابخانه دانشجویی @StudentLibrary · 24,294 Telegram ranks this channel #24 of 72 here — alongside 71 others — read 16 September 2026
Science Magazine @science_magazine · 22,979 Telegram ranks this channel #27 of 95 here — alongside 94 others — read 21 September 2026
ترجمان علوم انسانى @tarjomaanweb · 78,161 Telegram ranks this channel #29 of 96 here — alongside 95 others — read 29 August 2026
علم زمان @time_zaman · 23,042 Telegram ranks this channel #33 of 88 here — alongside 87 others — read 18 September 2026
کاوه راد @kavehrad · 34,811 Telegram ranks this channel #40 of 90 here — alongside 89 others — read 2 September 2026
بسپاریم به خدا @Sajedifr · 55,590 Telegram ranks this channel #47 of 81 here — alongside 80 others — read 24 August 2026
آکادمی جغرافیا 🕊 | Geography Academy @GeotodayLibrary · 21,155 Telegram ranks this channel #49 of 66 here — alongside 65 others — read 25 September 2026
شبکه شاغلین مؤمن🇮🇷 @shaghelin · 65,637 Telegram ranks this channel #74 of 94 here — alongside 93 others — read 21 August 2026
آموزش سواد سایبری @Cyber_Literacy · 27,906 Telegram ranks this channel #77 of 86 here — alongside 85 others — read 10 September 2026
Science Documentaries مستندهای علمی @Documentary20 · 24,134 Telegram ranks this channel #84 of 91 here — alongside 90 others — read 19 September 2026
جواد موگویی|حرف بیحساب @javadmogoei · 36,427 Telegram ranks this channel #87 of 93 here — alongside 92 others — read 2 September 2026
فرزند ایران @farzandeiran_ir · 25,684 Telegram ranks this channel #88 of 89 here — alongside 88 others — read 13 September 2026
Aminikhaah_Media🇵🇸 @Aminikhaah_Media · 26,503 Telegram ranks this channel #88 of 89 here — alongside 88 others — read 12 September 2026
بنیاد شهید مطهری @motahari_ir · 20,491 Telegram ranks this channel #89 of 90 here — alongside 89 others — read 27 September 2026
نخبگان ایران @bmniran · 22,139 Telegram ranks this channel #89 of 94 here — alongside 93 others — read 23 September 2026
This channel appears in 16 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“زکات علم (تجربه نگاری)” (@tajrobenegaran), 8,256 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/tajrobenegaran.
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.