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 98% 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.
Growth
9 measurements spanning 6 days, net +538. 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 99,781–100,483 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 05:17
100,402
+116
11 Aug 2026, 03:43
100,286
+119
10 Aug 2026, 00:31
100,167
+94
9 Aug 2026, 03:01
100,073
+78
8 Aug 2026, 04:17
99,995
+89
7 Aug 2026, 01:04
99,906
+44
6 Aug 2026, 04:30
99,862
-2
6 Aug 2026, 01:33
99,864
no change
5 Aug 2026, 22:45
99,864
first reading
Engagement
13 posts held, back to 28 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
53.3%
avg views ÷ 100,402 subscribers
Avg views / post
53,500
8 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
8
of 13 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 11 August 2026
Posts held
13 (28 May 2026 – 11 August 2026)
Views total
427,900
Reactions total
4,730
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:35 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
41
Videos
10
Links
327
Lifetime counters from Telegram’s own channel header, read 12 August 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.
Reaction mix
8,165 reactions across 13 posts, in 39 distinct kinds. The most used accounts for 68.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,600
68.6%
👍
696
8.52%
❤🔥
649
7.95%
🤣
358
4.38%
💩
221
2.71%
🔥
80
0.98%
🤡
79
0.968%
😍
69
0.845%
🙏
68
0.833%
😁
60
0.735%
🖕
43
0.527%
🥰
33
0.404%
🤔
22
0.269%
👎
21
0.257%
👏
20
0.245%
⚡
16
0.196%
👾
14
0.171%
💔
14
0.171%
😐
14
0.171%
🕊
10
0.122%
19 further kinds
78
0.955%
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 13 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 8,165reactions 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 28 May 2026 to 11 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.
Telegram Stars
Stars received
311
across the posts below
Posts paid on
13
of 13 we hold a reading for · 100%
Most on one post
56
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @jadivarlog. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 13 most recent posts we hold for this entry, published 28 May 2026 to 11 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
ده درصد آدم واقعیای که میخوندین رو [اشتباهی] فراموش نکنین
—————————————————————————-
دیروز با دوستم گپ جالبی داشتم. ازم پرسید که سخنرانی کوری دکترو رو گوش خواهم داد یا نه و من گفتم که اصلا خبر ندارم سخنرانیش است. و بعد مشکلی اصلی رو فهمیدم:
من مدتی است که فقط چیزهایی که الگوریتمها بهم نشون میدن رو میخونم.
تا حدی بد هم نیست چون الان وقعا الگوریتمها (و تجمیع نظرات انسانی) در حوزههایی که من دنبال میکنم به خوبی …
دیدیم که ایجنت دقیقا چیه و وقتشه که ایجنت خودمون رو داشته باشیم! مستقل از بحث فنی اگر امکانش رو دارین این رو راه بندازین و شاید در زندگی روزمره هم براتون مفید باشه (: توی این ویدئو با استفاده از مدل های زبانی یکی از ایجنت های مرسوم رو راه می ندازیم ولی حینش کلی هم گپ و گفت در مورد مفاهیم می زنیم تا دقیقا بفهمیم داریم چیکار می کنیم.
https://youtu.be/mGMRzB-c8NA
#هوش_مصنوعی #ویدئو
در بحث اصطلاحات این روزهای هوش مصنوعی می تونین به این دیکشنری مانند هم نگاه کنین. نسبتا با قرتی بازی درست شده ولی توضیحاتش قابل فهمه و ارتباط مفاهمیم با همدیگه رو هم توش می بینین. به دگمه سرچ گوشه بالا سمت چپ دقت کنین و وقتی روی عبارتی کلیک کردین، به Read Full Entry برای توضیحات دقیقتر در مورد اون مفهوم.
https://www.aicodingdictionary.com
#لینک #معرفی
تقریبا دو سال پیش یه چیزی رو شروع کردم ولی فکر کردم هنوز خامه (: حالا می خوام ادامه اش بدم. اونم بحث درک بدون ترس از هوش مصنوعی است. توی این ویدئو فقط تئوریک سعی می کنم بگم این اصطلاح «ایجنت» که هی می گن و هر روز یه مدلش میاد و پر هیجان می گیم بیاین نصب کنین و اینها چیه. توی ویدئوی بعدی می ریم سراغ نصب یکیش. و بعدش بر اساس درخواست های شما و سطح سواد و توان من پیش می ریم (:
https://youtu.be/t5Ld-tw8q9I
رادیوجادی ۲۴۷ - همه اش وعده و همه اش وعید
درسته که در این شماره از فروختن رانت و هک اس اس ۷ سربازهای آمریکایی می گیم و کلی چیز دیگه، ولی مهمترین بحث هک هاگینگ فیس است توسط مدل جدید اوپن ای آی بدون اینکه هیچ کدوم از شرکت ها دخیل باشن؛ ظاهرا مدل از اتاق امتحان فرار کرده و رفته جواب ها رو با هک برداشته و برگشته سر جلسه امتحان (: با ما باشین که دنیا هکرهای بیشتری می خواد.
- پایان لایسنس جی پی ال در فری بی اس دی ۱۶
- …
اما به نظرم قسمت ۴۰ کتاب #برای_پیروزی به شکل مستقل شنیدنی است. قسمت چهل یه جورهایی ظاهرا از کتاب جدا است و داره در مورد مفاهیم اقتصادی به شکل مستقل حرف می زنه. البته در اصل این تیپ فصل ها دارن عمق نه فقط این کتاب که جهان رو توضیح می دن. بخصوص در شرایط فعلی ما فصل ۴۰ درک خوبی می ده که چرا وضع اقتصاد در ایران به اینجا رسیده. می تونین سریع و کوتاه و مستقل گوشش بدین:
https://youtu.be/SJLTGjgU23c
ترجمه فارسی کتاب برای پیروزی. قسمت های ۳۳ تا ۴۱!
#برای_پیروزی
چون بیشتر مخاطبین دنبالش نمی کنن، یه جا می فرستم که برای کسانی که دنبالش نمی کنن کمتر اذیت کننده باشه.
اگر وردپرسی دارین که از نسخه اش از ۷.۰.۲ قدیمی تر است، سریعا آپدیتش کنین. دو تا مشکل امنیتی خیلی حاد هست که داره به شکل فعال برای حمله به سایت ها استفاده می شه. یک حمله sql injection و یک مشکل در REST API که اجازه اجرای کد از راه دور رو می ده. آپدیت همیشه مهمه، الان در وردپرس الزامی.
نمودار مومنتوم که در فوتبالها نشون میدن چیه؟
این نمودار «مومنتوم» که اخیرا زیر مسابقات نشون می دن یه ایده دیتایی است. چیزی شبیه به پیش بینی هوا. این نمودار داره می گه در هر لحظه احتمال گل زدن هر تیم چقدره و این رو بر اساس تحلیل داده و یادگیری ماشین روی بازی های قبلی اون ورزش به دست میاره. این نمودار منطقا بسیار بهتر به ما «وضعیت» بازی رو نشون می ده و باعث میشه بیشتر از «مالکیت» یا «تعداد شوت» بفهمیم بازی چطوری بود…
رادیوجادی - ۲۳۷ - دیل دو
در این رادیو جادی که همزمان است با توافق دوم ما با کشور آمریکا از خبرهای متنوعی می گیم. نظرتولوالدز در مورد هوش مصنوعی، حمله های امنیتی ای که دارن پیچیده تر می شن، طبقاتی شدن دسترسی به بهترین ابزارهای هوش مصنوعی بر اساس پول و کشور و ... و حمله به زیرساخت های بانکی ایران برای بار چندم!
https://www.youtube.com/watch?v=E1_psDV4Kvg
#رادیوجادی #پادکست
ادامه کتاب برای پیروزی رو با هم پیش می ریم.
اول در قسمت ۳۱ که قسمتی طولانی است و در سفر و جایی ضبط شده که اکو زیاده. اما داستان فوق العاده است! کانر که از بازی گردان ها است پیشنهادی از کارگزارش می گیره که رد کردنش بسیار سخته و خودش به عنوان یک گیمر وارد بازی می شه! این قسمت هم از اون قسمت هایی است که کلی چیز در مورد اقتصاد و مسائل پشت پرده بازی ها یاد میگیریم! با من باشین و اکوها رو با لبخند رد کنین. به امید پیروزی…
رادیو جادی ۲۳۴ - عرفان عربی و همه و همه و همه
با وصل شدن کمی از اینترنت ایران، شاید وقتش باشه که یه رادیوی دیگه داشته باشیم. رادیویی که سعی می کنه گپی باشه برای همه کسانی که راه براشون برای همیشه ادامه داره. نگاهی می کنیم به خودمون و نگاهی می کنیم به خبرهای تکنولوژیای که می دونن مهمترین چیزهای دنیا نیستن.
#پادکست #رادیوجادی #صوتی
https://youtu.be/3VDwfITVZOE
❤607👍60💩40❤🔥25💔8🕊8🖕8🥰6
Showing the 12 most recent of 13 posts we hold for @jadivarlog. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 13,833 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
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 5 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.
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.
تکنولوژی،خبری،هوش مصنوعی، @ITSecurityComputer · 164,902 Telegram ranks this channel #10 of 71 here — alongside 70 others — read 12 August 2026
Computer & IT Engineering @Computer_IT_Engineering · 188,254 Telegram ranks this channel #14 of 76 here — alongside 75 others — read 11 August 2026
Radio Relax @RadioRelax · 331,376 Telegram ranks this channel #15 of 90 here — alongside 89 others — read 10 August 2026
پادکست پلی لیست|Playlist @Playlistpodcas · 152,133 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 12 August 2026
PDF | پی دی اف @PDFsCom · 301,977 Telegram ranks this channel #28 of 83 here — alongside 82 others — read 10 August 2026
آموزش زبان انگلیسی | آکادمی لینگانو @lingano_com · 167,806 Telegram ranks this channel #29 of 75 here — alongside 74 others — read 12 August 2026
VPN CLUB @wbnet · 230,462 Telegram ranks this channel #35 of 70 here — alongside 69 others — read 11 August 2026
Virauniversity | ویرا @virauniversitycom · 382,978 Telegram ranks this channel #44 of 90 here — alongside 89 others — read 10 August 2026
بشکن Beshkan @beshkan · 278,301 Telegram ranks this channel #44 of 87 here — alongside 86 others — read 10 August 2026
V2ray | Vmess | Trojan | Vless @PrivateVPNs · 167,062 Telegram ranks this channel #46 of 76 here — alongside 75 others — read 12 August 2026
Vahid Online وحید آنلاین @vahidonline · 1,424,821 Telegram ranks this channel #46 of 89 here — alongside 88 others — read 8 August 2026
Asatirezaban_official @asatirezaban_official · 211,349 Telegram ranks this channel #47 of 88 here — alongside 87 others — read 11 August 2026
Outline VPN Official @OutlineVpnOfficial · 223,478 Telegram ranks this channel #48 of 55 here — alongside 54 others — read 11 August 2026
تهران پادکست | پادکست و کتاب صوتی @tehranpodcast · 228,444 Telegram ranks this channel #48 of 92 here — alongside 91 others — read 11 August 2026
کتابخانه @BookTop · 355,857 Telegram ranks this channel #51 of 88 here — alongside 87 others — read 10 August 2026
پادچی | پادکست و کتاب صوتی @podchi · 436,986 Telegram ranks this channel #53 of 82 here — alongside 81 others — read 10 August 2026
Soul of Dream️️ @SoulofDream · 169,132 Telegram ranks this channel #63 of 88 here — alongside 87 others — read 12 August 2026
کانال عرضه اولیه @Arzeh1avalieh · 193,089 Telegram ranks this channel #68 of 92 here — alongside 91 others — read 11 August 2026
🎥 CinemaFact 📺 @MyCinemaFact2 · 290,493 Telegram ranks this channel #68 of 77 here — alongside 76 others — read 10 August 2026
اطلاع رسانی آموزشیار @IauAmozeshyar · 313,461 Telegram ranks this channel #69 of 86 here — alongside 85 others — read 10 August 2026
مملکته @mamlekate · 572,507 Telegram ranks this channel #70 of 87 here — alongside 86 others — read 9 August 2026
تیم علمی سایکولوژی @lovoology · 147,125 Telegram ranks this channel #74 of 91 here — alongside 90 others — read 12 August 2026
BBCPersian @bbcpersian · 778,474 Telegram ranks this channel #74 of 93 here — alongside 92 others — read 8 August 2026
euronews یورونیوز @euronewspe · 149,134 Telegram ranks this channel #89 of 95 here — alongside 94 others — read 12 August 2026
This channel appears in 24 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“جادی | Jadi” (@jadivarlog), 100,402 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/jadivarlog.
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.