Religion — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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
64 measurements spanning 98 days, net -373. 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 16,190–16,727 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
12 Nov 2026, 12:49
16,252
-7
10 Nov 2026, 08:44
16,259
-15
8 Nov 2026, 18:11
16,274
-6
6 Nov 2026, 10:40
16,280
-1
5 Nov 2026, 10:16
16,281
-1
4 Nov 2026, 07:37
16,282
+2
3 Nov 2026, 04:10
16,280
-6
2 Nov 2026, 02:56
16,286
-2
1 Nov 2026, 00:44
16,288
+1
30 Oct 2026, 22:45
16,287
-5
29 Oct 2026, 20:49
16,292
-9
28 Oct 2026, 21:00
16,301
-3
27 Oct 2026, 23:35
16,304
-3
26 Oct 2026, 23:15
16,307
-2
26 Oct 2026, 00:54
16,309
-5
24 Oct 2026, 21:41
16,314
-9
23 Oct 2026, 18:56
16,323
-12
22 Oct 2026, 20:59
16,335
+3
21 Oct 2026, 19:41
16,332
-8
20 Oct 2026, 14:35
16,340
first reading
Engagement
31 posts held, back to 27 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.1%
avg views ÷ 16,252 subscribers
Avg views / post
3,270
10 posts measured
Reaction rate
2.19%
reactions ÷ views · ER floor
Posts in window
10
of 31 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 9 November 2026
Posts held
31 (27 December 2025 – 9 November 2026)
Views total
32,740
Reactions total
717
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 18:40 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
≈4,010
Videos
≈1,230
Links
≈2,990
Lifetime counters from Telegram’s own channel header, read 14 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.
Video runtime
1m 24s
Average length
28s
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
2,175 reactions across 31 posts, in 5 distinct kinds. The most used accounts for 63.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,378
63.4%
⚡
759
34.9%
🙏
21
0.966%
👍
10
0.46%
✍
7
0.322%
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 31 of the 31 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 2,175 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 27 December 2025 to 9 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 31 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Dna_Matrix_Hackers. 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 31 most recent posts we hold for this entry, published 27 December 2025 to 9 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 10 posts held from the last 30 days (40.0%) 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).
در کتاب کورش نامه گزنفون آمده: کورش و متحدانش، آزادی بخش جوامع از قوم گرایی دینی و نژادی بودند و هر کشوری را که آزاد می کردند به آنها خودمختاری می دادند و آنان را بعنوان متحدین خود می خواندند، کورش بنیانگزار کشورهای متحده پارس بود که تا زمان قاجار نیز بعنوان ممالک محروسه فارس نامیده می شدیم، تغییر نام پارس به ایران بنا به دستور هیتلر و حزب نازی و توسط رضا خان، جهت مصادره کورش کبیر و دستآوردهای او به نفع نژادپرستان آر…
در پست قبلی تا حدی درباره هویت فکری و مسیری که دنا ماتریکس هکرز دنبال میکنه صحبت کردم. حالا دوره هفتساله اول این پروژه به پایان رسیده و میخوام درباره چشمانداز مرحله دوم صحبت کنم.
در هفت سال دوم، هدف ما فقط شناخت ساختارهای موجود، نقد الگوهای قدیمی یا افشای مشکلات تمدن فعلی نیست!
میخوایم به این سوال برسیم که:
اگه قرار باشه تمدن متفاوتی بسازیم، اون تمدن چه شکلی خواهد بود؟
متن کامل در کامنت امروز مینویسم
تقریباً ۷ ساله که بهصورت آنلاین با این نام فعالیت میکنم. این پنجمین پیجی هست که راهاندازی کردم و پیجهای قبلیم بسته شدن، محدود شدن یا مورد ریپورت قرار گرفتن، اما همچنان به مسیرم ادامه میدم.
میخوام درباره این صحبت کنم که اصلاً برای چی میجنگم و هدفم چیه تا همراهان جدید دچار سوءتفاهم یا برداشت اشتباه نشن.
ببینید، من دشمن یک شخص، گروه، حزب، مذهب یا حتی یک سیستم سیاسی خاص نیستم!
بلکه در تقابل و تضاد با مجموعهای از …
«مغز من فقط مثل یک گیرنده عمل میکنه. من فکر میکنم در جهان، یک منبع مرکزی وجود داره که دانش، قدرت و الهام از اون سرچشمه میگیره و ما اونها رو دریافت میکنیم. من هنوز نتونستم به رازهای این منبع پی ببرم، اما میدونم که وجود داره.»
نیکولا تسلا
میتونی جهانی رو تصور کنی که در اون، موجوداتی هنوز مستقیماً روی زمین حضور دارن و سیستمی رو هدایت میکنن که ریشههاش به هزاران سال پیش برمیگرده؛ سیستمی که الگوی قدرتش از اون دوران تا امروز، از طریق انسانها و ساختارهای امروزی ادامه پیدا کرده؟
میتونی بگی چرا زندگی امروز به این شکل سازماندهی شده؟ چه کسی از این ساختار سود میبره؟
یا چرا با وجود اینهمه پیشرفت تکنولوژی، هنوز خیلیها زیر فشار زندگی میکنن و برای بقا م…
شاید تو شرایطی که در اون به دنیا اومدی یا سختیهایی که تجربه کردی رو انتخاب نکرده باشی؛ اما محدودیتهای بیرونی نباید به هویت درونیت تبدیل بشن.
در ماتریکس کنترل، کدهایی که بارها در ذهنت تکرار میشن، میتونن تعیین کنن خودت و دنیای اطرافت رو چطور ببینی.
قرار نیست با تغییر افکارت، همهی مشکلات بیرونی رو حل کنی؛ اما میتونی کدهای محدودکنندهی ذهنت رو بشناسی، بازنویسیشون کنی و تواناییهایی رو در خودت فعال کنی که تا امرو…
یک داستان از دنیای ماتریکس
سرزمینی وجود داشت به اسم «باغ آفتاب».
سرزمینی با کوههای بلند، رودخونههای پرآب و درختهایی که ریشههاشون صدها سال توی خاک فرو رفته بود.
مردم این سرزمین از پدربزرگهاشون قصههایی شنیده بودن؛ از روزهایی که قحطی اومده بود و مردم کنار هم ایستاده بودن، از روزهایی که دشمن به دروازهها رسیده بود و مردم با هم از خونههاشون دفاع کرده بودن.
هر گوشهی این سرزمین، یه نشونه از گذشته داشت. هر ترانه،…
🧬 سه سطح آگاهی؛ تو از کدوم زاویه به دنیا نگاه میکنی؟
شاید بیداری از جایی شروع بشه که برای اولین بار به چیزهایی شک میکنی که تا دیروز حقیقت مطلق میدونستی.
شاید شروع کنی به کشف لایههای پنهان جهان، زیر سؤال بردن باورهای قدیمی و پیدا کردن ارتباطهایی که قبلاً نمیدیدی.
اما یه سؤال مهمتر هم وجود داره:
آیا شناختن رازهای دنیا کافیه، وقتی هنوز خودمون رو بهدرستی نمیشناسیم؟👁️
سه سطح آگاهی:
🔻3D: تجربهی زندگی در دنی…
در درون هر انسان، معبدی پنهان هست.
نه از سنگ و گل،
از نَفَس و نیت.
و در محرابِ آن معبد،
همیشه امکانی هست
برای طلوعِ یک بعلِ خاموش.
بتی که از بیرون نیومده؛
از «منِ پالایش نشده» برخاسته.
بتشکنی کارِ تیشه و آتش نیست.
کارِ کیمیاست.
باید سربِ نفس رو در کورهی آگاهی گذاشت
تا از آن، زرِ توحید بیرون بیاد.
شکستنِ سنگ آسانه؛
فرود آوردنِ «من» از عرشِ وهم،
کارِ اهلِ سلوکه.
اگه جرأت داری
نقابِ ترس رو برداری
و ببینی چطور تر…
❤97
Showing the 12 most recent of 31 posts we hold for @Dna_Matrix_Hackers. 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.
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 4 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.
⚖️ DNA_Pluse⚖️ @dnapluse · 29,877 Telegram ranks this channel #14 of 77 here — alongside 76 others — read 9 September 2026
سهيل سنگرزاده @soheilsangarzadeh2 · 48,792 Telegram ranks this channel #22 of 86 here — alongside 85 others — read 26 August 2026
اسرار ممنوعه با آرمین @Forbidden_Mysteries · 23,168 Telegram ranks this channel #32 of 73 here — alongside 72 others — read 19 September 2026
RADIIO_AVA @Radiio_ava · 32,582 Telegram ranks this channel #35 of 61 here — alongside 60 others — read 10 September 2026
Satvica Holistic Academy @satvica · 29,556 Telegram ranks this channel #35 of 85 here — alongside 84 others — read 7 September 2026
Mantra Meditation | مانتراموزیک @mantraa_music · 29,888 Telegram ranks this channel #50 of 83 here — alongside 82 others — read 8 September 2026
سهيل سنگرزاده @soheilsangarzadeh · 86,267 Telegram ranks this channel #58 of 83 here — alongside 82 others — read 17 August 2026
فرکانسِ_ناب @ferekansenab · 25,989 Telegram ranks this channel #63 of 82 here — alongside 81 others — read 12 September 2026
📚 کتابخانه نایاب عرفانی نور 📚 @book_noor · 44,686 Telegram ranks this channel #64 of 89 here — alongside 88 others — read 28 August 2026
بهار شهیدی (کانال عمومی) @BaharShahidi · 24,351 Telegram ranks this channel #65 of 77 here — alongside 76 others — read 15 September 2026
حضرت مولانا @molana79 · 104,660 Telegram ranks this channel #73 of 90 here — alongside 89 others — read 15 August 2026
دکتر جو دیسپنزا @joe_diispenza · 27,089 Telegram ranks this channel #75 of 92 here — alongside 91 others — read 12 September 2026
امام مهدی عج @emammahdi · 32,656 Telegram ranks this channel #81 of 87 here — alongside 86 others — read 5 September 2026
Royal mind @royalmind · 117,904 Telegram ranks this channel #81 of 91 here — alongside 90 others — read 14 August 2026
محمد رضا عالی پيام - هالو @mrhallo · 26,273 Telegram ranks this channel #89 of 92 here — alongside 91 others — read 12 September 2026
This channel appears in 15 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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Dna Matrix Hackers” (@Dna_Matrix_Hackers), 16,252 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/Dna_Matrix_Hackers.
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.