Education — 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 55% 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 4 other registered channels. This entry also sits inside a group of 3 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. 106 of the 106 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 379 comparable posts for this entry, running 3 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 3 channels, the one whose matching posts we hold earliest is @daneshjo_report. 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 3 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.
64 measurements spanning 95 days, net -682. 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 21,772–22,658 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
9 Nov 2026, 22:41
21,874
-19
8 Nov 2026, 11:58
21,893
-4
7 Nov 2026, 07:58
21,897
-14
6 Nov 2026, 05:55
21,911
-14
5 Nov 2026, 06:38
21,925
-5
4 Nov 2026, 02:54
21,930
-9
3 Nov 2026, 03:16
21,939
-11
2 Nov 2026, 04:18
21,950
-7
1 Nov 2026, 07:27
21,957
-9
31 Oct 2026, 06:34
21,966
-7
30 Oct 2026, 07:06
21,973
-8
29 Oct 2026, 10:06
21,981
-14
28 Oct 2026, 08:09
21,995
+4
27 Oct 2026, 08:59
21,991
-14
26 Oct 2026, 06:35
22,005
-10
25 Oct 2026, 08:00
22,015
-8
24 Oct 2026, 05:41
22,023
-9
23 Oct 2026, 08:05
22,032
-11
22 Oct 2026, 04:50
22,043
-9
20 Oct 2026, 22:46
22,052
first reading
Engagement
513 posts held, back to 3 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 118 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.30%
avg views ÷ 21,874 subscribers
Avg views / post
1,820
111 posts measured
Reaction rate
0.634%
reactions ÷ views · ER floor
Posts in window
111
of 513 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. It is computed over the 70 of 111 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
513 (3 August 2026 – 10 November 2026)
Views total
201,617
Reactions total
844
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 22:49 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
≈3,650
Videos
≈1,950
Links
≈1,130
Lifetime counters from Telegram’s own channel header, read 10 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
4m 06s
Average length
35s
Measured directly from 7 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
4,668 reactions across 351 posts, in 10 distinct kinds. The most used accounts for 50.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
2,338
50.1%
👍
528
11.3%
❤
497
10.6%
🤯
453
9.70%
🥴
366
7.84%
😁
232
4.97%
👏
182
3.90%
🔥
47
1.01%
😍
18
0.386%
🥰
7
0.15%
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 374 of the 513 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 4,668 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 513 most recent posts we hold, published 3 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: 6 of 111 posts held from the last 30 days (5.41%) 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).
راستش منِ دانشجو همیشه دنبال یه جایی بودم که درسهای حسابداری رو ساده، کامل و بدون هزینه بهم آموزش بده؛ جایی که مجبور نباشم برای هر درس کلی هزینه کلاس بدم!
فکر کنم آکادمی شمس همون فرصتیه که دنبالش بودم. ❤️
اگه تو هم میخوای این ترم رو قویتر شروع کنی، یه سر به آکادمی شمس بزن. شاید اینجا همون نقطه شروعی باشه که بهش نیاز داری! 🚀
پی همین الان روی لینک کانال بزن یه نگاه بنداز مطمعن باش توام مثل من پشیمون نمیشی😉
💥 @acc…
🚨 #فورری دقایقی پیش، سکوی SPD14D پارس جنوبی دچار آتشسوزی شد
کارکنان مستقر در سکو در حال ترک محل هستند. در پی این حادثه، ۵۰۰ میلیون فوت مکعب گاز از مدار تولید خارج شده است
https://t.me/fori_jo
🌍 فراخوان ثبتنام و عضویت در فدراسیون بینالمللی مخترعان (IFIA) | ژنو، سوئیس 🇨🇭
فرصتی برای ورود به عرصه بینالمللی نوآوری، اختراعات و دستاوردهای علمی
خدمات و حمایتهای ما:
✅ آموزش تخصصی و گامبهگام فرآیند ثبت اختراع
✅ راهنمایی و پیگیری مراحل ثبت اختراع در ایران و مسیرهای بینالمللی
✅ آمادهسازی و تکمیل مدارک موردنیاز
✅ راهنمایی و پیگیری فرآیند درخواست عضویت در فدراسیون بینالمللی مخترعان (IFIA)
✅ مشاوره برای تقویت…
🚨 مجازی شدن آموزش دانشگاه ها و مدارس در راهه؟
👤سخنگو دولت:
🔹ناترازی 430 میلیون متر مکعبی گاز در کشور
🔹احتمال محدودیت و قطع گاز تهران در زمستان امسال میباشد .
اخبار تعطیلی دانشگاه ها و مدارس از طریق کانال @daneshjo_report اطلاع رسانی خواهد شد
🚨احتمال تعطیلی دانشگاه ها و مدارس گلستان برای فردا بسیااار بالاست !!
🔹طبق صحبتی که با مسئولین گلستان داشتم، تعطیلی گلستان شدیدا به تعطیلی مازندران وابستهاس و اگه مازندران تعطیل بشه، گلستان هم فردا صددرصد تعطیله!!
اخبار تعطیلی دانشگاه ها و مدارس از طریق کانال @daneshjo_report اطلاع رسانی خواهد شد
🚨باران و برف شدید در انتظار تهران و البرز ؛ هشدار جدید هواشناسی
🔹️اداره کل هواشناسی استان تهران و البرز از بارش برف و باران در شمال غرب و شمال استان همچنین وزش باد شدید در نیمه جنوبی و غربی و دامنه و ارتفاعات استان تهران هشدار داد.
اخبار تعطیلی دانشگاه ها و مدارس از طریق کانال @daneshjo_report اطلاع رسانی خواهد شد
🚨 #فوووری | احتمال تعطیلی مدارس سراسر کشور در صورت ناترازی انرژی و احتمال کم دانشگاه ها
مهاجرانی، سخنگوی دولت: ناترازی انرژی داریم، این که گاز تهران قطع میشود یا نه، بستگی به میزان مصرف داره، اگه خدای نکرده میزان مصرف خیلی زیاد بشه، متاسفانه همه جای کشور ممکنه قطع شه، تهران هم همینطور.
https://t.me/fori_jo
🔴#فوری هدیه بلوبانک به دانشجویان
با افتتاح حساب آنلاین در بانک سامان(بلوبانک) 3/000/000 تومان هدیه فعالسازی برای همه دانشجویان به صورت خودکار واریز خواهد شد.
وارد کردن کد معرف دانشجویی زیر برای دریافت هدیه افتتاح حساب الزامی است:👇👇👇
M6ICIA
ام شش آی سی آی آ
(روی کدمعرف بزن کپی میشه )
دانلود برنامه از سایت بانک سامان👇 :
https://blubank.com/#footer
دریافت اپلیکیشن بلو از بازار👇
http://cafebazaar.ir/app/?id=com.sama…
🔴 #فوری اعلام نتایج نهایی کنکور سراسری در روزهای آینده
وزیر علوم، تحقیقات و فناوری:
🔹️دانشجویان نو ورود از آذر باید در کلاس های درس حاضر شوند.
https://t.me/fori_jo
بلکفرایدی نزدیکه!
چندتا دیجیکوین داری؟ 👀🔥
قیمتشناس دیجیکالا رو بازی کن و دیجیکوین جمع کن!💸
🪙 هر دیجیکوین ۱۰۰۰ تومنه!
🎁 با اولین خرید طلای دیجیتال هم ۳۰۰ دیجیکوین هدیه میگیری و میتونی تو خریدهات ازش استفاده کنی.😍
فقط حواست باشه دیجیکوینهات ۳ ماه اعتبار دارن!
با دست پُر برو به استقبال بلکفرایدی دیجیکالا! 🛒
😊قیمتشناس دیجیکالا
🚨 #تهران
تهران فردا تعطیلی نداریم، نه جلسهای برگزار شده و نه تصمیمی گرفته شده
@fori_jo
🤣4❤1
Showing the 12 most recent of 513 posts we hold for @fori_jo. 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 65 posts on @fori_jo 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
7 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
22 hours
Seen missing in the last 30 days
20
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
Named by 3 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
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
@fori_jo 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.
@khoshkhatsho_ba_akbarfathi named in 2 posts, 2 September 2026 – 2 September 2026 · confirmed gone 6 November 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 20 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.
کتابخانه دانشجویی ایران @ketabkhaneh_iran · 74,328 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 19 August 2026
اخبار دانشجویی @daneshjo_report · 104,346 Telegram ranks this channel #6 of 87 here — alongside 86 others — read 15 August 2026
radio uni رادیو یونی @radio_universal · 20,835 Telegram ranks this channel #30 of 75 here — alongside 74 others — read 27 September 2026
🎓 صدای دانشگاه 🎓 @sedaye_daneshgaah · 20,018 Telegram ranks this channel #57 of 90 here — alongside 89 others — read 28 September 2026
دانشگاه خیلی آزاد @kheili_azad · 20,603 Telegram ranks this channel #67 of 87 here — alongside 86 others — read 26 September 2026
🎓 Tj Hamyar (دانشگاه تهران جنوب) @TjHamyar · 25,856 Telegram ranks this channel #69 of 86 here — alongside 85 others — read 14 September 2026
📚کتابخانه دانشگاهی📚 @ketabkhaneh_daneshgahi · 65,575 Telegram ranks this channel #75 of 93 here — alongside 92 others — read 21 August 2026
News Ctb | دانشگاه آزاد تهران مرکز @news_ctb · 39,146 Telegram ranks this channel #78 of 87 here — alongside 86 others — read 31 August 2026
پاتیا سیتی @pattaya_citey · 30,704 Telegram ranks this channel #82 of 91 here — alongside 90 others — read 16 August 2026
This channel appears in 9 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“کتابخانه فوری |جو|” (@fori_jo), 21,874 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/fori_jo.
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.