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Channel

دانش، آگاهی

@daneshagahi

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

28,685subscribers

+399 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001000342060
TypeChannel
Username@daneshagahi
Descriptionدانش آگاهی پلی به سوی دانایی وابسته به وب سایت www.daneshagahi.com for public activities: https://buymeacoffee.com/soroushsarabi
Created24 September 2015 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/daneshagahi

Topic

Politics & activism — 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 49% 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 1 other registered channel. 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

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
ChannelMatching postsText overlapTypical gapPublished first
@overlordechokilo10 (8/8 hand-verifiable sample passed)0.993 minutesthis entry (9–1)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 130 comparable posts for this entry, running 26 July 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).

Recorded under the key 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.

Growth

28,12928,78528,45728,6855 August 202610 November 2026
64 measurements spanning 96 days, net +399. 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 28,031–28,883 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 08:3728,685+7
8 Nov 2026, 19:3128,678-13
7 Nov 2026, 09:4628,691+2
6 Nov 2026, 12:5528,689+15
5 Nov 2026, 14:3628,674+18
4 Nov 2026, 13:5128,656-2
3 Nov 2026, 15:2728,658-14
2 Nov 2026, 16:1028,672-18
1 Nov 2026, 14:1028,690-53
31 Oct 2026, 13:4028,743+6
30 Oct 2026, 12:4528,737-2
29 Oct 2026, 15:0628,739-16
28 Oct 2026, 16:3128,755-3
27 Oct 2026, 15:5528,758+3
26 Oct 2026, 15:2828,755+31
25 Oct 2026, 13:5128,724-32
24 Oct 2026, 16:0828,756-29
23 Oct 2026, 14:5428,785+1
22 Oct 2026, 14:2728,784+32
21 Oct 2026, 07:1928,752first reading

Engagement

168 posts held, back to 26 July 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 157 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
50.4%
avg views ÷ 28,685 subscribers
Avg views / post
14,500
57 posts measured
Reaction rate
2.41%
reactions ÷ views · ER floor
Posts in window
60
of 168 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
WindowRolling 30 days · latest post in window 10 November 2026
Posts held168 (26 July 2026 – 10 November 2026)
Views total823,710
Reactions total19,813
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 13:50 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
≈1,280
Videos
≈277
Links
≈1,050

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.

Video runtime
40m 05s
Average length
6m 41s

Measured directly from 6 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

53,339 reactions across 158 posts, in 37 distinct kinds. The most used accounts for 41.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤22,01641.3%
👍11,02120.7%
😁4,5478.52%
🔥2,6925.05%
💔2,3334.37%
🤯1,8813.53%
👏1,4812.78%
🤔8991.69%
👌7821.47%
🗿6461.21%
😭5961.12%
😐5931.11%
💯4740.889%
🙏4490.842%
🤣4250.797%
😍3950.741%
😢2980.559%
❤‍🔥2920.547%
🥴2880.54%
😨2030.381%
17 further kinds1,0281.93%

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 159 of the 168 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 53,582 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 168 most recent posts we hold, published 26 July 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.

Telegram Stars

Stars received
1,459
across the posts below
Posts paid on
51
of 159 we hold a reading for · 32%
Most on one post
1,010
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @daneshagahi. 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 168 most recent posts we hold for this entry, published 26 July 2026 to 10 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: 26 of 60 posts held from the last 30 days (43.3%) 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).

10 Nov 2026, 17:06 UTC≈6,910 views291 reactionsread 11 November 2026

یواش یواش معنی آشوبناکی در سطح سیستم رو متوجه خواهید شد و باید برگردید و جزوه‌ی آستانه رو از ابتدا بخونید که بتونید تمام وضعیت فعلی و آینده رو به راحتی برای خودتون آنالیز کنید. @daneshagahi

❤198🤔38👍23🗿13😐7✍5🦄4👌1

9 Nov 2026, 21:44 UTC≈8,720 views331 reactionsread 11 November 2026

جالب شد که باز این برداشت حرفهای من رو از تو کانال بدون دریافت رضایت قلب کپی کرد... خجالت هم نمیکشه... بشتابید دوستان که ببینید من چقدر پیشگوی عظیمی هستم که اینجا و اینجا و اونجا گفت بودم و اگر شما باهوش بودید و به من گوش داده بودید این منبع رو الان چیز بودید @daneshagahi

😁249❤52🤔7🤯6👍4🦄3👌2💘2

9 Nov 2026, 20:06 UTC≈10,700 views249 reactions10 Starsread 11 November 2026
Photo

در لحظاتی که ما دنبال VPN هستیم که کلاد کد دسترسی ما رو نبنده، مدل رسما آخرالزمانی Fable 5.2 هم منتشر شد و در دسترس عموم قرار گرفت... و چرا آخر الزمانی؟؟؟ چون 😭: تیمی متشکل از ۱۰۰۰ ایجنت هوش مصنوعی Fable 5.2 توانسته است تنها در مدت ۳۰ ساعت، قضیه مشهور «آخرین قضیه فرما» (Fermat's Last Theorem) را با استفاده از زبان فرمال Lean به‌صورت ماشینی اثبات و صحت‌سنجی کند؛ دستاوردی که نسل‌های پیشین مدل‌های هوش مصنوعی در دستیا…

❤166🔥38💔13🤯11😢11👍3⚡2💯2

9 Nov 2026, 14:29 UTC≈9,280 views230 reactionsread 11 November 2026

قیمت نفت در پایین‌ترین وضعیت خودش، شک قرمز بازار ناشی از صنعت هوش‌مصنوعی به واسطه‌ی جریان آبی مخالف هوش مصنوعی، تلاش شدید قطر برای بقای خودش و تنها همراه‌ش، فشار شدید لایه‌میانی گروه‌ک جمهوری اسلامی برای پذیرش توافقی حتی کمی بدتر از برجام، کارای پلن‌های بسنت، انبساط داخلی اجتماعی در داخل کشور و احتمال هر لحظه‌ی وقوع حوادث اجتماعی همه در کنار هم تنها یک جرقه برای رسدین به هدف ترامپ نیاز دارد... حذف لایه سخت فعلی جمهو…

❤144👍55🤔18🤯6🏆2✍1💘1🔥1

9 Nov 2026, 12:15 UTC≈9,300 views216 reactionsread 11 November 2026
Photo

دیدم که در مورد ماجرای جنسن هوانگ، مدیرعامل انویدیا، شرکت غول هوش مصنوعی جهان، باز شروع کردن تخیل سازی که: هوانگ با جاسوس چین بوده 😂 و اطلاعات لو داده به چین و اینااا بعد الان که فهمیدن بازار ریخته و آی ترامپ فلان شده و...، دست هم از این جفنگیات سازی و تخیل سازی توهمی هم برنمیدارن... خیلی جالبه که هر جفنگی تو تیتر میبینن میگن بهش منبع 😂 بعد همون رو هم با آلودگی توهمات خودشون کلا عوض میکنن یک جفنگ جدید میسازن میدن ب…

👏130👍47❤30🤯3🤝2🙏2👌1💯1

9 Nov 2026, 09:44 UTC≈9,480 views419 reactionsread 11 November 2026
Photo

من قبلا چندین بار به این موضوع اشاره کرده بودم، که خوب خیلی از دوستان خندیدن، ولی شما نمی دونید ویروس مذهب چه بلایی بر سر مغز میاره، تازه مغزی که از نظر پایه شناختی سالم باشه، حالا اگر مشکلات شناختی دیگه‌ای هم داشته باشه دیگه بماند که چه رخ خواهد داد، قبلا هم تاکید کرده بود که قصد نداره رهبر جمهوری اسلامی رو بکشه چون میترسه بره جهنم چون اون یک رهبر مذهبی هست. در حمله‌ی 9 اسفند هم درسته که شوآفش رو ترامپ انجام داد ولی…

👌240😐82❤32🗿21👍18🤯11😭5✍3

9 Nov 2026, 07:54 UTC≈14,100 views236 reactionsread 11 November 2026

امیر قطر امروز میره کاخ سفید که پشت درهای بسته چک جواد رو تقدیم‌ش کنه، حالا باید ببینیم رقمش اینقدر هست که خرج 2 ماه آینده‌ی ش رو بده تا کنگره آبی بیاد و فشار رو بیشتر کنه یا نه، از سمت مقابل هم باید ببینیم که ایزنکوت موفق میشه دولت اقلیت رو تشکیل بده که البته در این لحظه بر اساس گزارشات به نظر کار خیلی سختی در پیش داره... در مجموع به نظر میرسه ترامپ همچنان گرایش به نگاه مارکو-بسنت برای عدم درگیری و افزایش فشار محاص…

👍166😭26❤24😐7🤔4✍3💯2😨2

9 Nov 2026, 07:00 UTC≈9,310 views144 reactionsread 11 November 2026

#موقت میخوام که یک سرویس تولید محتوا رو آزمایش کنم، فقط یکی از دوستان، اگر محصول برای فروش در اینستاگرام داره که میخواد با یک کارکتر واقعی انسانی محصول رو به شکل ویدئویی معرفی کنه و پیج فعال داره به دایرکت بده این تست رو براشون انجام بدم. بدون هزینه نسخه‌ی تست رو بهشون میدم اگر خواستن استفاده کنن.

❤131👌8👍5

7 Nov 2026, 19:31 UTC≈12,000 views491 reactionsread 11 November 2026

با 67 رای و تایید رئیس جمهور، آیزنکوت مامور تشکیل دولت در اسرائیل با مهلت 28+14 روز شد. باید دید که آیا موفق خواهد شد که دولت اقلیت تشکیل بدهد یا خیر... @daneshagahi

💔398🤯44❤17🎉11👍6🦄5✍3🤔2

7 Nov 2026, 18:58 UTC≈11,700 views335 reactionsread 11 November 2026
Photo

من میگم این آدم 100 مدل بیماری شناختی داره، دوستان حمله میکنن نه این از هوش و ذکاوتشه... اره بابا از هوش‌ش هست که بانو کارولین رو میدی، مبارز رینگ رو میاری تازه میگی دستیارات هم بیار... بعد دوستان رو دیوار این یادگاری نوشتن... بعد گفته برای مبارزه با چپ دیوانه این رو میارم😐😐 فکر کرده با تفکر چپ باید با مشت و لگد مبارزه کنه... بسیار خرسندم اعلام کنم که سمت سخنگوی کاخ سفید (ایالات متحده) به «دِینا وایت» بزرگ، این م…

😁247❤34🗿15😐9😭7👍6🤯6😨5

7 Nov 2026, 18:19 UTC≈10,600 views454 reactionsread 11 November 2026

وضعیت تحلیل‌ها- آنالیزها نظامی الان اینجوری که 18 آبان حمله میکنه آمریکا چون ماه پشت‌ش به ماست تاریک میان تو کسی نمی بینشون. بعد الان دوستان میخندن فکر میکنن دارم طنز میگم، خیر بشینید و ببینید... @daneshagahi

😁382❤22🤔13😎10👍7🗿7😐4🤝3

7 Nov 2026, 14:48 UTC≈11,900 views383 reactionsread 11 November 2026

بر اساس داده هایی که تا اینجا مشخص شده، احتمالا، ترامپ به سمت نظرات مارکو-بسنت گرایش پیدا کرده. به نظر میرسه فشار محاصره رو چند برابر میکنه، همچنان نیروهای نظامی رو تقویت میکنه و در آماده باش نگه میداره و احتمالا یک حمله‌ی خیلی کوتاه و بسیار سنگین برای یک گام دیگر انجام میده، در حین حفظ فشار سنگین محاصره به مذاکره ادامه میده تا تسلیم نامه توسط یک گروه میانه رو تر امضا بشه. اما، اینکه آشوب بعدش مسیر رو چگونه هدایت خو…

👍266❤52🗿20🤔13😐9💔8😭6✍3

Showing the 12 most recent of 168 posts we hold for @daneshagahi. 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.

Posts edited after publishing

@daneshagahi edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
10 August 2026
Most recent edit
28 September 2026

Posts recorded as deleted after publishing

We recorded 1 post on @daneshagahi 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
3 October 2026
Most recent seen missing
3 October 2026
Median time before seen missing
27 hours
Seen missing in the last 30 days
0

Forward network

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 18 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.

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.

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.

DeepMind AI Expert
@AI_DeepMind · 15,843
#1
Meysam
@ai_person · 3,709
#2
مستند و کلیپ افق رویداد
@ofoghclip · 6,186
#3
Science Magazine
@science_magazine · 23,125
#4
TechTube 𝕏 تک توب
@TechTube · 75,094
#5
جادی | Jadi
@jadivarlog · 105,673
#6
اشتباه میمون | عارف عبادی
@FortunateMistake · 2,830
#7
Recommender system
@Recomendersystem2023 · 4,599
#8
افــــــق رویـــــداد
@ofoghroydad · 16,489
#9
کانال علمی افق رویداد
@ofoghroydadd · 13,440
#10
Deep Time
@deeptimeai · 3,879
#11
Anarconomy
@anarconomy · 46,078
#12
Evolution
@evolution_iran · 6,639
#13
degargoonesh
@degar_goonesh · 12,061
#14
Dev Tweet
@tweetdev · 1,007
#15
Modern Cogitation
@modern_cogitation · 14,964
#16
Geek Alerts
@geekalerts · 18,647
#17
از نورون تا هوش ◇---<
@Physics_Daily · 4,431
#18
دیالکتیک علمی
@ScientificDialectics · 23,637
#19
School of AI
@schoolofai · 11,335
#20
Tensorflow(@CVision)
@cvision · 15,061
#21
پارینه/پالئوگرام
@paleogram · 5,209
#22
CrazzyBView
@crazzy_blockk · 708
#23
Machine learning application (Kartal)
@Machinelearning_Kartal · 2,690
#24
تکامل و فلسفه | هادی صمدی
@evophilosophy · 16,249
#25
Ali's Notes
@css_nlp · 1,065
#26
زندگی به عنوان سرویس
@lifeAsAService · 4,088
#27
AI Pulse
@aipulse24 · 3,275
#28
جهان چگونه کار می کند؟
@Function_of_the_world · 4,482
#29
Masoud's Sharings
@MasoudSharings · 2,968
#30
آکادمی دنیای شناخت
@CognitionWorld · 8,688
#31
🌍 سیاره ما
@sayareye_ma · 1,941
#32
بریده‌ها و براده‌ها
@BBToday · 10,469
#33
پوریا آزادی (Poria Azadi)
@the_maze2022 · 7,419
#34
Django Expert
@djangoex · 9,893
#35
منابع بیگانه
@scientific_resources · 16,068
#36
چکیده‌ها و گزیده‌های کتاب‌ها
@Chekide_ha · 1,270
#37
DLeX: AI Python
@ai_python · 21,294
#38
اندیشیدن، تنها راه نجات
@AndisheKonim · 4,953
#39
Meteor journal ☄
@meteorjournal · 2,619
#40
RecommenderSystems
@Recommender_System · 1,562
#41
تنیدگی
@tanidegi · 11,736
#42
Algorithm design & data structureچ
@AlgorithmDesign_DataStructuer · 6,401
#43
CogniPlus | کاگنی پلاس
@CogniPlus · 2,877
#44
نگاهی به جهان دانش
@LookAtScience · 1,771
#45
پادکست مهرانگیز
@mehrangizpodcast · 10,171
#46
رویدادهای هوش مصنوعی
@eventai · 10,636
#47
خانهٔ آگاهی | مدرسهٔ علوم انسانی
@Khaneh_Agahi · 11,024
#48
بیت‌گاید
@SatoshiSchool · 6,063
#49
🕊 فرازتد⚡️(روشنگری)
@FarazTed · 21,173
#50
Vahid Online وحید آنلاین
@vahidonline · 1,386,989
#51
Python Hints
@pyHints · 10,270
#52
دستاوردهای یادگیری عمیق(InTec)
@pytens · 10,006
#53
دیرینه‌نگار
@dirinenegar · 2,690
#54
Digiato | دیجیاتو
@Digiato · 115,453
#55
اقوال الانعام
@aqvalanam · 41,105
#56
Ziya Sadr
@ziya_sadr_shares · 7,838
#57
IRCF | اینترنت آزاد برای همه
@ircfspace · 97,082
#58
کتابسار
@ketaabsaar · 10,497
#59
DevTwitter | توییت برنامه نویسی
@devtwitter · 33,489
#60
دکتر تقی کیمیایی اسدی
@Taghi_kimyai · 7,816
#61
Milad Nouri(ツ) میلاد نوری
@miladnourichannel · 27,162
#62
Iranian Cypherpunks VPN
@Ln2Ray · 13,602
#63
Sadra Codes
@lnxpylnxpy · 4,361
#64
Rust for Python developers
@pyrust · 2,643
#65
Grizzly ₿
@GrizzlyBTCloverr · 15,978
#66
FactNameh | فکت‌نامه
@factnameh · 109,848
#67
زنجیره
@zanjire_fa · 2,682
#68
Python BackendHub
@PyBackEndHub · 8,480
#69
ChiliChart
@ChiliChart · 1,889
#70
وب آموز
@webamoozir · 115,107
#71
حافظه تاریخی
@hafezeye_tarikhi · 139,881
#72
gooyban🦆
@gooyban · 10,665
#73
Spark | اسپارک
@ce_spark · 2,112
#74
Stupid Risks
@stupid_risks · 6,969
#75
مهمات
@mohem_mat · 21,620
#76
گرد آتش - Round the Fire
@GerdeAtash · 888
#77
Astroscience
@spaceastron · 1,500
#78
✨انجمن نجوم گالیله✨
@GalileAstronomy · 3,800
#79
Tensorphilia
@tensorphilia · 649
#80
Sharif CE Job 💻
@CE_Job · 9,784
#81
@machinelearningnet
@machinelearningnet2 · 3,281
#82
✨مجله نجوم کاویان✨
@kavianastronomy · 1,416
#83
کتاب‌خوان (علم و روشنگری)
@SciBookReader · 682
#84
آموزش تفکر نقادانه
@wikifallacy · 6,592
#85
ApplyAbroad | هلدینگ پرگار
@pargarwiki · 131,300
#86
لایسیوم
@lyceumpodcast · 6,906
#87
خوانش کتاب برای انسان خردمند
@homosapiensfa · 44,393
#88
Neuropedia
@CogSci_Neuron · 3,741
#89
سودابه قیصری
@soudabeh_qaisari · 8,757
#90
My Favorite photoS
@ofoghmostanad · 2,002
#91
Nadia's Musical World 🦋
@nadiamusicalword · 191 (as read 10 September 2026)
#92
Mine
@PytensMusic · 578 (as read 10 September 2026)
#93
کتابخانه
@ketab_khaneh2023 · 1,436
#94
اینوست پلاس | investplus
@investplus_ir · 6,359
#95

Read from Telegram’s recommendation API, most recently 10 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.

دیالکتیک علمی
@ScientificDialectics · 23,637
Telegram ranks this channel #12 of 95 here — alongside 94 others — read 16 September 2026
Science Magazine
@science_magazine · 23,125
Telegram ranks this channel #13 of 95 here — alongside 94 others — read 21 September 2026
خوانش کتاب برای انسان خردمند
@homosapiensfa · 44,393
Telegram ranks this channel #29 of 90 here — alongside 89 others — read 28 August 2026
🕊 فرازتد⚡️(روشنگری)
@FarazTed · 21,173
Telegram ranks this channel #45 of 92 here — alongside 91 others — read 26 September 2026
کتابخانه فراسوی دانش
@Farasoyedaneshlib · 19,484
Telegram ranks this channel #47 of 86 here — alongside 85 others — read 3 October 2026
کانال علمی بیگ بنگ
@big_bangpage · 39,445
Telegram ranks this channel #50 of 98 here — alongside 97 others — read 31 August 2026
نیچه و فلسفه / Theodor
@PHILOSOPHI_ZER · 33,118
Telegram ranks this channel #55 of 88 here — alongside 87 others — read 4 September 2026
Spirit_and_life_ | روانشناسی تحلیلی یونگ
@Spirit_and_life · 40,558
Telegram ranks this channel #64 of 94 here — alongside 93 others — read 1 September 2026
دکتر محمدرضا سرگلزایی drsargolzaei
@drsargolzaei · 35,620
Telegram ranks this channel #65 of 95 here — alongside 94 others — read 2 September 2026
I am Zeus
@zeus110 · 22,974
Telegram ranks this channel #70 of 96 here — alongside 95 others — read 19 September 2026
جامعه‌شناسی
@iransociology · 37,367
Telegram ranks this channel #70 of 94 here — alongside 93 others — read 1 September 2026
Instrumentallist (موزیک لایت)
@instrumentallist · 30,989
Telegram ranks this channel #72 of 74 here — alongside 73 others — read 6 September 2026
Science Documentaries مستندهای علمی
@Documentary20 · 24,160
Telegram ranks this channel #80 of 91 here — alongside 90 others — read 19 September 2026
Radio Relax
@RadioRelax · 322,068
Telegram ranks this channel #82 of 90 here — alongside 89 others — read 10 August 2026
Mehrsasharoleslam
@mehrsasharoleslam · 36,633
Telegram ranks this channel #89 of 92 here — alongside 91 others — read 1 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“دانش، آگاهی” (@daneshagahi), 28,685 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/daneshagahi.

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.