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Channel

مشاوره حقوقی مهاجرت

@panahjoy

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,826subscribers

-121 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001123995648
TypeChannel
Username@panahjoy
Description💥💥💥موفقترین مجموعه مشاوره مهاجرت @Hadimoshavere @Ali242451 @panahjoy2 @panahjoy3 @panahjoy6 ⬅️مجموعه در زمینه غیرقانونی هیچ فعالیتی ندارد➡️
CreatedBetween 1 June 2017 and 30 April 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/panahjoy

Topic

Other / unclassifiable — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 77% 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 2 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)
Posted firstThenOverlapGap
@panahjoy4/340085 Aug 2026, 17:44 UTC@panahjoy/48883 · this entry5 Aug 2026, 17:44 UTC1.00under a minute
@panahjoy4/340095 Aug 2026, 17:44 UTC@panahjoy/48884 · this entry5 Aug 2026, 17:44 UTC1.00under a minute
@panahjoy4/340105 Aug 2026, 17:44 UTC@panahjoy/48885 · this entry5 Aug 2026, 17:44 UTC1.00under a minute
@panahjoy3/232630 Jul 2026, 17:57 UTC@panahjoy/48883 · this entry5 Aug 2026, 17:44 UTC1.006 days
@panahjoy3/232731 Jul 2026, 17:23 UTC@panahjoy/48884 · this entry5 Aug 2026, 17:44 UTC1.005 days
@panahjoy3/23281 Aug 2026, 17:17 UTC@panahjoy/48885 · this entry5 Aug 2026, 17:44 UTC1.004 days
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
@panahjoy423 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (14–9)
@panahjoy35 (5/5 hand-verifiable sample passed)1.004 days@panahjoy3 (5–0)

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 12 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 30 comparable posts for this entry, running 4 August 2026 to 7 August 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 @panahjoy3. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 8 August 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.

Growth

8,8268,9478,886.56 August 2026 — 8,947 subscribers6 August 2026 — 8,947 subscribers9 August 2026 — 8,944 subscribers11 August 2026 — 8,941 subscribers15 August 2026 — 8,928 subscribers17 August 2026 — 8,929 subscribers21 August 2026 — 8,937 subscribers25 August 2026 — 8,929 subscribers28 August 2026 — 8,912 subscribers31 August 2026 — 8,924 subscribers2 September 2026 — 8,917 subscribers7 September 2026 — 8,905 subscribers12 September 2026 — 8,895 subscribers16 September 2026 — 8,906 subscribers28 September 2026 — 8,885 subscribers5 October 2026 — 8,883 subscribers11 October 2026 — 8,882 subscribers15 October 2026 — 8,871 subscribers17 October 2026 — 8,869 subscribers20 October 2026 — 8,862 subscribers23 October 2026 — 8,850 subscribers27 October 2026 — 8,852 subscribers29 October 2026 — 8,853 subscribers1 November 2026 — 8,839 subscribers4 November 2026 — 8,837 subscribers7 November 2026 — 8,832 subscribers10 November 2026 — 8,826 subscribers6 August 202610 November 2026
27 measurements spanning 97 days, net -121. 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 8,808–8,965 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
10 Nov 2026, 15:398,826-6
7 Nov 2026, 08:508,832-5
4 Nov 2026, 11:188,837-2
1 Nov 2026, 13:068,839-14
29 Oct 2026, 20:468,853+1
27 Oct 2026, 02:578,852+2
23 Oct 2026, 23:118,850-12
20 Oct 2026, 21:508,862-7
17 Oct 2026, 17:188,869-2
15 Oct 2026, 00:278,871-11
11 Oct 2026, 23:418,882-1
5 Oct 2026, 14:198,883-2
28 Sept 2026, 06:198,885-21
16 Sept 2026, 03:568,906+11
12 Sept 2026, 06:398,895-10
7 Sept 2026, 22:378,905-12
2 Sept 2026, 20:298,917-7
31 Aug 2026, 02:118,924+12
28 Aug 2026, 07:368,912-17
25 Aug 2026, 00:088,929first reading

Engagement

393 posts held, back to 4 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 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.79%
avg views ÷ 8,826 subscribers
Avg views / post
335
130 posts measured
Reaction rate
0.337%
reactions ÷ views · ER floor
Posts in window
130
of 393 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 31 of 130 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held393 (4 August 2026 – 10 November 2026)
Views total43,507
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 23:56 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
≈23,900
Videos
≈7,780
Links
≈17,200

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
2h 21m
Average length
2m 17s

Measured directly from 62 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

133 reactions across 78 posts, in 4 distinct kinds. The most used accounts for 51.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6951.9%
👍3929.3%
🤩1813.5%
🎉75.26%

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 95 of the 393 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 141 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 393 most recent posts we hold, published 4 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: 9 of 130 posts held from the last 30 days (6.92%) 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, 19:16 UTC681 viewsread 10 November 2026
Photo

❌❌❌سید احسان حسینی کارشناس انرژی: #ایران تنگه هرمز را باز کرده! ✅ @panahjoy

10 Nov 2026, 17:16 UTC≈1,070 viewsread 10 November 2026
Photo

❌❌❌اخذ ویزای توریستی #لهستان 📌مجرد و خانواده 📌مدارک کامل 📌بدون پیش پرداخت 📌با دعوت نامه 📌تسویه پس از ویزا 📌حتی ریجکتی های بالای یکسال @Hadimoshavere @ali242451 https://wa.me/447538138312 @panahjoy

10 Nov 2026, 16:28 UTC164 views1 reactionsread 10 November 2026
Photo

‍ ❌❌❌بعد از دریافت قبولی آلمان به چه دلایلی در معرض اخراج به کشور مبدا هستیم ؟ #آلمان #دریافت_قبولی 🤩اداره مهاجران و پناهندگان (BAMF) می‌تواند حق پناهندگی، محافظت پناهجویی، حمایت تکمیلی یا منع ملی اخراج که برای شما به رسمیت شناخته شده را باطل کند. این اداره بعد از ۳ سال، پرونده کسانی که مستحق پناهندگی و محافظت پناهجویی شناخته شده‌اند را دوباره بررسی می‌کند تا مشخص شود آنها هنوز هم در صورت بازگشت در معرض خطر و ته…

❤1

10 Nov 2026, 15:25 UTC136 viewsread 10 November 2026
Photo

❌❌❌درباره راههای تشخیص اصالت اسناد کامل توصیح دادم 📌یکی از راههای تشخیص اصالت استفاده از نرم افزارهای مربوطه است مثلا قسمت (ela) این قسمت ناحیه هایی از سند را که از نظر فشردگی پیکسلها تغییر کرده و اضافه شده است را نشان میدهد. در اسناد دیجیتال اگر قسمتی دستکاری شود فشردگی پیکسلها تغییر میکند، ابزارهایی مانند فتوشاپ هرچقدر هم کاربر ان حرفه ای باشد باعث تغییر پیکسلها میشود تلاش کنید دفاع درست و حقوقی داشته باشید …

10 Nov 2026, 13:40 UTC165 viewsread 10 November 2026
Photo

❌❌❌تصویر اعضای شورای شهر هامترامک، میشیگان که همگی مسلمان هستند حاج احمد کربلایی محمد حاج یوسف مشدی ممد حاج محتسن نعیم(خالی) @panahjoy

10 Nov 2026, 12:39 UTC184 viewsread 10 November 2026
Photo

❌❌❌ماموران اداره مهاجرت و گمرک ایالات متحده (ICE) در لس‌آنجلس فرزاد توتونی معروف به «تونی» را با بیش از یک میلیون دنبال‌کننده در اینستاگرام و انتشار تصاویری از سبک زندگی تجملاتی، به اتهام اقامت غیرقانونی بازداشت کردند و او تا زمان رسیدگی به پرونده اخراج در بازداشت خواهد ماند. توتونی نخستین بار در سال ۱۹۸۳ به صورت قانونی وارد آمریکا شد اما به دلیل سوابق سنگین مجرمانه از جمله نگهداری و فروش مواد مخدر، تهدید کیفری و جع…

10 Nov 2026, 11:41 UTC194 views0 reactionsread 10 November 2026
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❌❌❌ #ایرلند رسماً اولین حزب سیاسی اسلامی خود را معرفی کرد.😂😂 حزب "کارگری اسلامی ایرلند" به تازگی فعالیت خود را آغاز کرده است و به صراحت اعلام کرده است که قصد دارد قدرت سیاسی را به دست گیرد و قوانین شریعت را اجرا کند، در حالی که افراد غیرمسلمان ممکن است با مجازات‌هایی مانند زندان یا بدتر مواجه شوند. #حقتونه @panahjoy

10 Nov 2026, 09:56 UTC189 views1 reactionsread 10 November 2026
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⚖ بیش از ۱۰ سال سابقه فعالیت ⚖ بیش از ۴۰۰۰ پرونده موفق ✅دانش حقوقی مقدمه احقاق حق است ✅مارا با دانش حقوقیمان بسنجید ✅موفقترین مجموعه مشاوره حقوقی پناهجویان مدیریت مجموعه: @Hadimoshavere خدمات ویزا: @Ali242451 گروه: @panahjoy6 کانال مجموعه مشاوره پناهندگی ومهاجرت: @panahjoy کانال فایلهای صوتی مجموعه: @panahjoy2 افتخارات : @panahjoy3 کانال اطلاعات آمریکا و کانادا و استرالیا: @panahjoy4‌ مهاجرت تحصیلی: @panahj…

❤1

Showing the 12 most recent of 393 posts we hold for @panahjoy. 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

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 7 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.

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.

آتیه آفرینان | مرکز تخصصی امور مهاجرت
@applyabroadnow · 26,731
Telegram ranks this channel #11 of 60 here — alongside 59 others — read 11 September 2026
اپلای فنلاند 🇫🇮 مهاجرت مازیار
@Apply_Finland · 47,057
Telegram ranks this channel #11 of 69 here — alongside 68 others — read 24 August 2026
سازمان مهاجرتی R & K
@RandKimmigrationgroup · 19,844
Telegram ranks this channel #15 of 67 here — alongside 66 others — read 30 September 2026
مهاجرت کاری و تحصیلی
@internationalcollege · 52,632
Telegram ranks this channel #21 of 71 here — alongside 70 others — read 23 August 2026
کانال ریمیکس | آهنگ جدید 💯 ⏰
@Ritmg · 65,629
Telegram ranks this channel #60 of 69 here — alongside 68 others — read 20 August 2026

This channel appears in 5 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.

“مشاوره حقوقی مهاجرت” (@panahjoy), 8,826 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/panahjoy.

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.