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Telegram profile photo for ایکس‌ فارسی ࡆ FarsiX

Channel

ایکس‌ فارسی ࡆ FarsiX

@FarsiOfficialX

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

452,962subscribers

+29,412 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1003832848311
TypeChannel
Username@FarsiOfficialX
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/FarsiOfficialX

Topic

Memes & entertainment — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 93% 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 word for word on 1 other registered channel. They sit inside a group of 464 channels that share the same post bodies 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
@fo_rk/1250187 Aug 2026, 18:03 UTC@FarsiOfficialX/24084 · this entry7 Aug 2026, 19:14 UTC0.9871 minutes
@fo_rk/1248585 Aug 2026, 20:13 UTC@FarsiOfficialX/23891 · this entry5 Aug 2026, 20:15 UTC0.972 minutes
@fo_rk/1248625 Aug 2026, 20:31 UTC@FarsiOfficialX/23895 · this entry5 Aug 2026, 20:36 UTC0.965 minutes
@fo_rk/1250237 Aug 2026, 18:58 UTC@FarsiOfficialX/24087 · this entry7 Aug 2026, 19:22 UTC0.9624 minutes
@fo_rk/1248655 Aug 2026, 20:43 UTC@FarsiOfficialX/23898 · this entry5 Aug 2026, 20:44 UTC0.9472 seconds
@fo_rk/1248675 Aug 2026, 20:56 UTC@FarsiOfficialX/23899 · this entry5 Aug 2026, 21:01 UTC0.936 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@fo_rk11 (8/8 hand-verifiable sample passed)0.9421 minutes@fo_rk (11–0)

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. 6 of the 11 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 48 comparable posts for this entry, running 5 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).

Across the whole group of 464, the earliest publisher we hold is @akharinkhabar. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 463 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

iRo Proxy | پروکسی
@iRoProxy · Channel
7,990,706 subscribers
اخبارفوری خبرفوری جنگ امریکا فوری
@km_ap · Channel
6,032,226 subscribers
Whale Chanel
@WhAlE_ChAnEl · Channel
5,315,808 subscribers
خبرفوری ࡆ اخبارفوری ࡆ جنگ فوری امریکا
@ne_wg · Channel
5,250,577 subscribers
خبرفوری
@khabarfouri · Channel
5,066,599 subscribers
اخبارفوری خبرفوری جنگ امریکا فوری
@kh_mx · Channel
5,014,174 subscribers
کانال هواداران استقلال
@es_qb · Channel
4,683,279 subscribers
دارک پروکسی | Proxy mtproto
@darkproxy · Channel
4,580,108 subscribers
خبرفوری
@akhbarefori · Channel
4,380,932 subscribers
شریف | Sharif
@ecoshariff · Channel
4,240,643 subscribers
اخبارفوری🚨جنگ امریکا و ایران
@KH_B2 · Channel
4,170,867 subscribers
کانال هواداران پرسپولیس
@Perspolisirfans · Channel
4,116,296 subscribers
قیمت‌‌‌لحظه‌ای دلار طلا خودرو و سکه
@do_l4 · Channel
4,102,791 subscribers
پروکسی فیلترشکن شکن کانفیگ
@proxymtprotoir · Channel
4,056,293 subscribers
قیمت‌‌‌‌‌ لحظه‌ای دلار طلا خودرو
@se_pz · Channel
3,550,234 subscribers
اخبارفوری جنگ امریکا فوری/ خبرفوری
@M0_HM · Channel
3,297,529 subscribers
پروکسی Proxy
@proxy_qavi · Channel
3,260,320 subscribers
Matin Crypto | ارز دیجیتال
@MawtinCrypto_vip · Channel
3,104,757 subscribers
Proxy MTProto▕ پروکسی ایرانی
@mtpproxyirani · Channel
3,102,494 subscribers
رفاقت
@dosti · Channel
3,057,960 subscribers
خبر فوری
@khabar_furei · Channel
2,700,476 subscribers
اخبارفوری خبرفوری جنگ فوری امریکا
@ga_os · Channel
2,680,424 subscribers
خبر 18+ | اخبار فوری جنگ
@khabari_18 · Channel
2,558,968 subscribers
PINK PROXY | پروکسی
@PinkProxy · Channel
2,434,039 subscribers
خبرفوری‌نیوز/ اخبار جنگ ایران و امریکا
@NW_ZA · Channel
2,283,218 subscribers
پروکسی ملی | Nova Proxy
@NPROXY · Channel
2,274,119 subscribers
خبرفردا
@khabarfarda_ir · Channel
2,134,891 subscribers
خبرفوری | اخبار فوری جنگ آمریکا
@khabarehir · Channel
2,126,444 subscribers
خبر فوری 🔖 اخبار جنگ
@AdsVipz · Channel
2,067,669 subscribers
کانال هواداران پرسپولیس ایران
@Sorkh1967 · Channel
2,003,883 subscribers
آخرین خبر
@akharinkhabar · Channel
2,001,943 subscribers
خبری پلاس|خبرفوری 🔖فوری
@khabari · Channel
2,000,852 subscribers
خبرفوری ایران امریکا فوری
@khabarfuri · Channel
1,988,745 subscribers
Proxy Stars | پروکسی
@MTProxyStar · Channel
1,861,296 subscribers
پروکسی دائمی تلگرام
@proxydaemi · Channel
1,741,061 subscribers
کانال هواداران ارتش آبی استقلال
@ss_2e · Channel
1,730,430 subscribers
خبرگزاری فارس
@farsna · Channel
1,701,498 subscribers
MTProto Proxy | پروکسی
@proxyir01 · Channel
1,652,961 subscribers
پروکسی | Proxy MTProto
@mtp_roto · Channel
1,622,699 subscribers
کانال تکنولوژی هوش مصنوعی
@roidbest · Channel
1,621,007 subscribers
قیمت لحظه ای دلار طلا خودرو
@dolar_403 · Channel
1,600,020 subscribers
کانال هواداران استقلال
@esteghlalfan · Channel
1,564,961 subscribers
کانال اخبارفوری ࡆ خبرفوری
@newsfori · Channel
1,494,159 subscribers
𝐀𝐑𝐙 𝐏𝐑𝐎𝐗𝐘 | ارز دیجیتال
@ARZ_PROXY · Channel
1,448,144 subscribers
کانال هواداران استقلال
@Esteghlallinews · Channel
1,405,042 subscribers
Vahid Online وحید آنلاین
@vahidonline · Channel
1,388,427 subscribers
Iran International ایران اینترنشنال
@iranintltv · Channel
1,380,313 subscribers
اخبارفوری خبرفوری مهم
@kabar_news · Channel
1,325,506 subscribers
ورزش سه
@varzesh3 · Channel
1,303,414 subscribers
‌ Do You Know | مجله ™
@razcom · Channel
1,218,660 subscribers

413 more channels are in this same group but not listed individually here.

Growth

279,078457,608368,343452,9626 August 20266 November 2026
64 measurements spanning 93 days, net +29,412. 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 252,299–484,388 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
6 Nov 2026, 23:27452,962-305
6 Nov 2026, 01:55453,267-252
4 Nov 2026, 22:45453,519-219
3 Nov 2026, 22:04453,738-194
2 Nov 2026, 21:35453,932-133
1 Nov 2026, 23:49454,065-836
31 Oct 2026, 23:28454,901-779
30 Oct 2026, 21:05455,680-1,608
29 Oct 2026, 20:38457,288-320
28 Oct 2026, 23:41457,608+98,728
27 Oct 2026, 21:20358,880+1,133
26 Oct 2026, 22:27357,747-278
25 Oct 2026, 22:51358,025-932
24 Oct 2026, 22:48358,957-2,631
23 Oct 2026, 23:40361,588-361
22 Oct 2026, 22:06361,949-385
21 Oct 2026, 19:57362,334-345
20 Oct 2026, 17:40362,679-228
19 Oct 2026, 17:28362,907+26,309
18 Oct 2026, 15:55336,598first reading

Engagement

3,410 posts held, back to 5 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 187 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.07%
avg views ÷ 452,962 subscribers
Avg views / post
9,400
1,087 posts measured
Reaction rate
0.707%
reactions ÷ views · ER floor
Posts in window
1,087
of 3,410 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 1,079 of 1,087 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 6 November 2026
Posts held3,410 (5 August 2026 – 6 November 2026)
Views total10,216,197
Reactions total72,105
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 13:39 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

Video runtime
4h 33m
Average length
37s

Measured directly from 439 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

66,086 reactions across 991 posts, in 71 distinct kinds. The most used accounts for 22.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣14,57722.1%
❤11,70317.7%
😁7,05510.7%
💩6,2079.39%
👍4,7797.23%
🖕4,1586.29%
🔥3,0624.63%
💔2,1203.21%
👏2,0983.17%
🤬1,8232.76%
👎1,8002.72%
😐1,2561.90%
🤮8991.36%
🍌5990.906%
🥰5960.902%
🤯4140.626%
😱3460.524%
🤡3030.458%
😍2640.399%
😢2610.395%
51 further kinds1,7662.67%

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 992 of the 1,000 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 66,086 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 10 October 2026 to 6 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: 737 of 1,087 posts held from the last 30 days (67.8%) 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).

6 Nov 2026, 13:06 UTC≈4,530 views19 reactionsread 6 November 2026
Video

‏✅ وقتی بالاخره متوجه میشی مشکلات خانوادت لزوماً نباید بشن مشکلات تو: ✅ @FarsiOfficialX | خانه شماره 10

❤10👎8👍1

6 Nov 2026, 12:13 UTC≈9,370 views123 reactionsread 6 November 2026
Video

‏✅ این شما و این سنگ قبر صورتی دخترونه همین الان بمیری فقط ۱.۵ میلیارد تومن ✅ @FarsiOfficialX | 》SaRa《

💩83👎13🤣13💔7❤2💘2🖕2👏1

6 Nov 2026, 12:13 UTC≈9,650 views38 reactionsread 6 November 2026
Video

‏✅ میگه حتی هوش مصنوعی همچین صحنه‌ی رو نمیتونه درست کنه. خدایی مرزهای خلاقیت رو جابجا کردن شیرازی‌ها ✅ @FarsiOfficialX | 》Rozhan《

😁22🤬7🤣5❤2💩2

6 Nov 2026, 11:12 UTC≈11,500 views79 reactionsread 6 November 2026
Photo

‏✅ تصاویری از نیکول کیدمن ۵۹ ساله ؛ ‏✅ فک کنم پیری ، واسه ماهاست فقط ✅ @FarsiOfficialX | 》AminR62《

❤62🖕11👍4👎1😁1

6 Nov 2026, 10:24 UTC≈11,800 views209 reactionsread 6 November 2026
Video

‏✅ خردادیان میگه ماشالا ایشالا نگو اونا عربیه، بگو ای‌والله باریک‌الله ‏✅ من دیگه این همه پاس داشتن فارسی رو نمی‌تونم ✅ @FarsiOfficialX | 》گوزنِ آبستن《

💩138😁55🤮9❤4👎2👍1

6 Nov 2026, 10:23 UTC≈11,700 views229 reactionsread 6 November 2026
Photo

‏✅ فوتبالیستی که ۳۹ سال در کما ماند و هرگز به هوش نیامد… ژان‌پیر آدامز، فوتبالیست فرانسوی، در ۳۴سالگی برای عمل مینیسک زانو به بیمارستانی در شهر لیون فرانسه رفت. قرار بود او در ۱۷ مارس ۱۹۸۲ جراحی شود. پیش از عمل، داروی بیهوشی به او دادند، اما به دلیل یک اشتباه پزشکی، آدامز به کما رفت و دیگر هرگز به هوش نیامد. قرار بود چند ساعت بعد از عمل بیدار شود، اما ۳۹ سال در کما ماند. در تمام این سال‌ها، همسرش برنادت او را تنه…

❤168👏33😭18😢6👎2👍1🔥1

6 Nov 2026, 10:02 UTC≈14,300 views91 reactionsread 6 November 2026

‏✅ اصلا کبوترا اون زمان از کجا دقیقا میدونستن نامه رو باید کجا تحویل بدن؟ ✅ @FarsiOfficialX | Raha

👍57🤔25❤3👎3💩3

6 Nov 2026, 10:02 UTC≈12,100 views119 reactionsread 6 November 2026
Video

‏✅ آقا من که میدونم خودشه ولی نمیتونم ثابت کنم ✅ @FarsiOfficialX | آروین | Arvin

🤣105❤12💩2

6 Nov 2026, 09:52 UTC≈12,500 views220 reactionsread 6 November 2026
Video

‏✅ ببینید جنیفر لوپز رو چطوری از ماشین پیاده میکنن ✅ @FarsiOfficialX | دفترچه خاطرات یک بی عُرضه

💩127🤮46😐20❤12🤣6🍌4🥰2🥴2

6 Nov 2026, 09:40 UTC≈12,800 views104 reactionsread 6 November 2026

‏✅ پاییز هم خیلی عجیبه ها .. از خیابون رد میشی می بینی یکی تی شرت پوشیده یکی هودی پوشیده یکی یقه اسکی پوشیده یکی کاپشن پوشیده شهر کلا ریخته بهم ..!! ✅ @FarsiOfficialX | بابک..

🤣74😁9🥰7👍6❤4🥴3💩1

6 Nov 2026, 09:34 UTC≈13,000 views86 reactionsread 6 November 2026
Photo

‏✅ تصاویری از غرق شدن دو نفت‌ کش در تنگه هرمز که طبق بیانیه سپاه پس از نقض قوانین دریانوردی، هدف حمله قرار گرفته اند ✅ @FarsiOfficialX

👍56💩19❤5🔥3🤣1😁1😐1

6 Nov 2026, 09:29 UTC≈10,700 views107 reactionsread 6 November 2026
Photo

‏✅ چرا سامی بیگی خودش رو شبیه اصلان خانه به دوش کرده؟ :))) ✅ @FarsiOfficialX | 》bahar《

😁67🤣31💩5❤4

Showing the 12 most recent of 3,410 posts we hold for @FarsiOfficialX. 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 11 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“ایکس‌ فارسی ࡆ FarsiX” (@FarsiOfficialX), 452,962 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/FarsiOfficialX.

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.