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Telegram profile photo for افشا نیوز

Channel

افشا نیوز

@AfshaUs

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

23,312subscribers

-1,139 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001264786021
TypeChannel
Username@AfshaUs
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/AfshaUs

Topic

Memes & entertainment — 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 97% 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 7 other registered channels. 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
@LashyaMamlekatt/936838 Aug 2026, 15:48 UTC@AfshaUs/75103 · this entry8 Aug 2026, 15:48 UTC1.00under a minute
@LashyaMamlekatt/9477322 Oct 2026, 13:10 UTC@AfshaUs/76092 · this entry22 Oct 2026, 13:12 UTC1.002 minutes
@LashyaMamlekatt/950177 Nov 2026, 08:13 UTC@AfshaUs/76349 · this entry7 Nov 2026, 08:14 UTC1.00under a minute
@LashyaMamlekatt/9479524 Oct 2026, 05:49 UTC@AfshaUs/76114 · this entry24 Oct 2026, 05:50 UTC0.97under a minute
@AfshaUs/75152 · this entry12 Aug 2026, 20:44 UTC@LashyaMamlekatt/9373912 Aug 2026, 21:20 UTC0.9735 minutes
@LashyaMamlekatt/949352 Nov 2026, 11:19 UTC@AfshaUs/76267 · this entry2 Nov 2026, 11:19 UTC0.95under a minute
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
@LashyaMamlekatt8 (8/8 hand-verifiable sample passed)0.97under a minuteeven
@KhbarMamlekat6 (6/6 hand-verifiable sample passed)0.9828 minutes@KhbarMamlekat (5–1)
@nabe_saman5 (5/5 hand-verifiable sample passed)0.9511 hours@nabe_saman (5–0)
@ZanZndegiAzadi5 (5/5 hand-verifiable sample passed)0.9420 hours@ZanZndegiAzadi (4–1)
@BdChalesh5 (5/5 hand-verifiable sample passed)0.9519 minutes@BdChalesh (5–0)
@IrJaavan5 (5/5 hand-verifiable sample passed)0.982.1 hours@IrJaavan (5–0)
@searibekeeshbirooon5 (5/5 hand-verifiable sample passed)0.957 days@searibekeeshbirooon (4–1)

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. 32 of the 32 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 425 comparable posts for this entry, running 6 August 2026 to 11 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 keys clone_copy · clone_mutual, last confirmed 12 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

23,31224,45123,881.57 August 202611 November 2026
65 measurements spanning 96 days, net -1,139. 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 23,141–24,622 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 03:0423,312-19
9 Nov 2026, 10:4923,331-20
7 Nov 2026, 23:5523,351-12
6 Nov 2026, 23:2123,363-17
5 Nov 2026, 21:3423,380-5
5 Nov 2026, 00:5023,385-9
4 Nov 2026, 01:0623,394-10
3 Nov 2026, 02:5523,404-14
2 Nov 2026, 03:0623,418-16
1 Nov 2026, 02:0723,434-12
30 Oct 2026, 22:2723,446-24
29 Oct 2026, 19:0123,470-11
28 Oct 2026, 16:1023,481-16
27 Oct 2026, 15:4623,497-15
26 Oct 2026, 17:1923,512-12
25 Oct 2026, 18:1723,524-14
24 Oct 2026, 20:2123,538-4
23 Oct 2026, 22:1023,542-9
22 Oct 2026, 22:5923,551-8
21 Oct 2026, 23:4823,559first reading

Engagement

723 posts held, back to 6 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 141 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.09%
avg views ÷ 23,312 subscribers
Avg views / post
952
250 posts measured
Reaction rate
1.05%
reactions ÷ views · ER floor
Posts in window
250
of 723 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 171 of 250 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 11 November 2026
Posts held723 (6 August 2026 – 11 November 2026)
Views total238,076
Reactions total1,789
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 04:59 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
≈2,510
Videos
≈6,340
Links
≈78

Lifetime counters from Telegram’s own channel header, read 12 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
4h 37m
Average length
41s

Measured directly from 406 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

6,091 reactions across 498 posts, in 48 distinct kinds. The most used accounts for 16.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤99116.3%
🤣81113.3%
💩80413.2%
😁75712.4%
💔3615.93%
🤮3485.71%
👏2984.89%
👍2874.71%
🖕2764.53%
🤬2083.41%
😐1442.36%
👎1322.17%
🔥821.35%
🥴681.12%
😢661.08%
🍌600.985%
😱490.804%
🥰430.706%
🤩310.509%
👌280.46%
28 further kinds2474.06%

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 509 of the 723 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 6,091 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 723 most recent posts we hold, published 6 August 2026 to 11 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: 83 of 250 posts held from the last 30 days (33.2%) 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).

11 Nov 2026, 20:29 UTC373 viewsread 12 November 2026
Forwarded from @Mamlekatt18

​📊 امشب پولت رو با حساس‌ترین بازی اروپا چند برابر کن! #ترکیه 🇹🇷 یا #بلژیک 🇧🇪؟ ضرایب شگفت‌انگیز و واریز آنی جوایز در بت‌فیدو⏰ 💸کانال #پولسازی بت فیدو👇 https://t.me/+dySI_QFj0T0xZGVk

11 Nov 2026, 20:29 UTC375 viewsread 12 November 2026
Forwarded from @Mamlekatt18Photo

🚨یه پیش‌بینی درست، ۴ میلیون تومن سود! ⚽️ 🇹🇷 #ترکیه 🆚 #بلژیک 🇧🇪؟ جدال جذاب دو غول فوتبال اروپا توی لیگ ملت‌ها! با انتخاب برد بلژیک مقابل ترکیه با ضریب ۱.۸۰ و یه شرط 5️⃣میلیون تومنی، اگه پیش‌بینیت درست از آب دربیاد، 9️⃣ میلیون تومن برمی‌گرده به حسابت؛ یعنی 🔤 میلیون تومن سود خالص! 😀 🤣 تو هم برای این نبرد حساس آماده‌ای؟👇 🔗 https://bet-fido.com 🔗 https://bet-fido.com 👍 ورود با وی‌پی‌ان غیراروپایی A20 📲 کانال #پولسازی …

11 Nov 2026, 20:27 UTC406 views12 reactionsread 12 November 2026
Video

ی پسر ۱۰ ساله ی ایرانی ی ربات هوش مصنوعی جیبی ساخته که تمام سوالاتو جواب میده و به راحتی تو جیب هم جا میشه : +ایرانی استعداد خالصه. @AfshaUs

👍11🤯1

11 Nov 2026, 20:00 UTC482 views3 reactionsread 12 November 2026
Video

بخدا این لاشیا یه ایران دیگه بلدن آدرسشو به ما نمیدن😢 +کصکش یه لحظه آروم باش داره ویدیو میگیره @AfshaUs

🍌3

11 Nov 2026, 19:55 UTC502 views7 reactionsread 12 November 2026
Photo

ایرج میرزا این شعر رو در وصف شیفتگی و دلباختگی نسبت به معشوقش گفته: @AfshaUs

😁7

11 Nov 2026, 17:48 UTC696 views4 reactionsread 12 November 2026
Video

اگه برای انلاین شاپ وجه واریز کردین و دیگه جوابتونو نداد یا بلاکتون کرد این کارها رو انجام بدین تا به پولتون برسین: #کاربردی @AfshaUs

❤4

11 Nov 2026, 17:36 UTC707 views9 reactionsread 12 November 2026
Photo

ناسا اعلام کرد به ی نفر با هر ملیتی نیاز داره که به مدت ۶ ماه تنها روی ماه زندگی کنه و برای این کار ۱۶۴ هزار دلار معادل ۴۳ میلیارد تومن بهش میده. @AfshaUs

👍8👎1

11 Nov 2026, 17:26 UTC667 viewsread 12 November 2026
Forwarded from @Mamlekatt18

​📊 امشب پولت رو با حساس‌ترین بازی اروپا چند برابر کن! #ترکیه 🇹🇷 یا #بلژیک 🇧🇪؟ ضرایب شگفت‌انگیز و واریز آنی جوایز در بت‌فیدو⏰ 💸کانال #پولسازی بت فیدو👇 https://t.me/+dySI_QFj0T0xZGVk

11 Nov 2026, 17:26 UTC664 views1 reactionsread 12 November 2026
Forwarded from @Mamlekatt18Photo

🚨یه پیش‌بینی درست، ۴ میلیون تومن سود! ⚽️ 🇹🇷 #ترکیه 🆚 #بلژیک 🇧🇪؟ جدال جذاب دو غول فوتبال اروپا توی لیگ ملت‌ها! با انتخاب برد بلژیک مقابل ترکیه با ضریب ۱.۸۰ و یه شرط 5️⃣میلیون تومنی، اگه پیش‌بینیت درست از آب دربیاد، 9️⃣ میلیون تومن برمی‌گرده به حسابت؛ یعنی 🔤 میلیون تومن سود خالص! 😀 🤣 تو هم برای این نبرد حساس آماده‌ای؟👇 🔗 https://bet-fido.com 🔗 https://bet-fido.com 👍 ورود با وی‌پی‌ان غیراروپایی G20 📲 کانال #پولسازی …

❤1

11 Nov 2026, 12:30 UTC900 views13 reactionsread 12 November 2026
Video

شما به استایل استاد نگاه کن اخه مگه میشه ایشون استاد باشه و به درس گوش ندی؟ @AfshaUs

💩9❤3👍1

11 Nov 2026, 12:26 UTC901 views10 reactionsread 12 November 2026
Video

بهترین مسابقه جهان با اختلاف: @AfshaUs

💩6❤3😁1

11 Nov 2026, 12:23 UTC901 views2 reactionsread 12 November 2026
Video

جدا از اینکه دکترا چقد باهامون راحت شدن که کیرِ مریض‌هارو جلو دوربین میندازن بیرون معاینه میکنن؛ نکات داخل ویدیو رو جدی بگیرید و هروقت شومبولتون ضربه یهویی (همراه با صدای تِق) خورد، سریعا به دکتر مراجعه کنید تا بعدا دچار انحراف شومبولی نشید.. @AfshaUs

❤2

Showing the 12 most recent of 723 posts we hold for @AfshaUs. 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 edited after publishing

@AfshaUs edited 8 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
27 August 2026
Most recent edit
12 November 2026

Posts recorded as deleted after publishing

We recorded 56 posts on @AfshaUs 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
9 August 2026
Most recent seen missing
12 November 2026
Median time before seen missing
33 hours
Seen missing in the last 30 days
9

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 2 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.

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.

Futball Bad Tv ⚫
@futballbadtv · 318,342
#1
رسانه افشا | اخبار جنگ
@EfshaKhabar · 279,104
#2
Rap King
@rapking · 313,934
#3
𝐃𝐫 𝐓𝐞𝐥
@drtel · 781,702
#4
⚽ Sport Bad News
@SportBaadNews · 841,953
#5
جوانان ایران
@ir_javan · 638,077
#6
[ چه خبر؟ ]
@chekhabarre · 243,226
#7
بی سانسور
@TweetKosSheer · 267,906
#8
Feel
@akh_mam · 178,745
#9
اخبار کیری مهم
@KiriMohems · 281,088
#10
یِ دانش آموز
@Ye_DaneshAmoz · 1,013,492
#11
MARIZ MEDI
@MARIZMEDIA · 54,567
#12
Afsha Hot | افشا هات
@AfshaHot · 344,121
#13
خبرفوری
@iran_efsha_news · 1,485,403
#14
Futball Boys
@FutballBoys · 147,687
#15
Sport Bad Tweet
@SportBadTweet · 136,855
#16
RapTV
@raptv · 398,557
#17
خبر 18+ | اخبار فوری جنگ
@khabari_18 · 2,593,295
#18
خبر فوری 🔖
@akhabarfouri_ir · 212,910
#19
چیزنیوز
@ChizNewz · 157,610
#20
چیزبرگر
@ChizBergerz · 132,387
#21
کامنت ملت
@CommentMelat · 879
#22
سورس شت | Source Shit
@SourceShit · 79,615
#23
بروس میم | 𝗕𝗿𝗼𝘀𝗠𝗲𝗺𝗲
@bros_meme · 12,536
#24
ارسالی‌هاتون :
@Ersalihatun · 138,588 (as read 17 September 2026)
#25
🔴 خبر فوری | اخبار لحظه ای | اخبار جنگ
@khabarforieh · 193,939
#26
اخبار کیری فوتبال
@KiriFutballl · 103,385
#27
ایران خبر
@khabariran · 471,993
#28
Alo Sport الو اسپورت
@AloSportNews · 93,668
#29
[ TvAspirin | تی وی آسپیرین ]
@TvAspirin · 106,214
#30
اختـــــــــاپــــوس
@okhtapooous · 1,100,305
#31
اخبار جنگ i'm Sad
@IrJaavan · 227,137
#32
خبر فوری
@Khabarforii18 · 11,295
#33
خبر لحظه ای
@akhbar_lahzei_iran · 67,646
#34
کسینوس
@kosinuse · 185,207
#35
شومبولیسم...!
@ShomboIis · 62,063
#36
حقایق جهان
@fock_fact · 69,492
#37
ایران 85
@irane_85 · 147,417
#38
Dark Sport
@DarkSportv · 40,214
#39
BadNews85 | بدنیوز
@BadNews_85 · 224,239
#40
مستربین | MrBeen
@themrbeenn · 135,296
#41
دانستنی‌های جذاب
@factaname · 145,356
#42
iRo Proxy | پروکسی
@iRoProxy · 8,009,981
#43
اخبار جنگ الونیوز AloNews
@alonews · 1,011,581
#44
دارک پروکسی | Proxy mtproto
@darkproxy · 4,557,454
#45
خبرفردا
@khabarfarda_ir · 2,217,357
#46
لینک کانال
@TweetAsidi · 1,765
#47
YOG's memes
@YOGSMEMES · 6,295
#48
اخبار ایران | رسانه مردمی
@iran_news · 105,315
#49
خبر کوتاه | اقتصادی
@khabarkotahe · 103,489
#50
پروکسی ○ Proxy
@shombilcament · 65,256
#51
دانش آموز :‌‌‌ ‌
@danshamuz · 77,068
#52
حقایق عجیب و ترسناک
@scary_strange · 184,987
#53
اَلان توشه؟!
@Alan_toshee · 33,441
#54
خبرینو | khabarino
@khabarino_ir · 112,485
#55
حاجی پَسند
@Haji_pasand · 104,573
#56

Read from Telegram’s recommendation API, most recently 17 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.

خبرهای فوری و مهم
@khabaremohemi_ir · 82,269
Telegram ranks this channel #21 of 62 here — alongside 61 others — read 12 August 2026
ایران 85
@irane_85 · 147,417
Telegram ranks this channel #32 of 67 here — alongside 66 others — read 15 August 2026
خبر لحظه ای
@akhbar_lahzei_iran · 67,646
Telegram ranks this channel #45 of 87 here — alongside 86 others — read 13 August 2026

This channel appears in 3 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“افشا نیوز” (@AfshaUs), 23,312 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/AfshaUs.

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.