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 8 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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 12 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)
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. 282 of the 282 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 1,120 comparable posts for this entry, running 7 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).
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.
Growth
59 measurements spanning 95 days, net +144,677. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
11 Nov 2026, 06:59
315,712
-2,468
9 Nov 2026, 14:50
318,180
-1,907
8 Nov 2026, 10:19
320,087
-1,872
7 Nov 2026, 04:05
321,959
-2,011
6 Nov 2026, 05:39
323,970
-1,593
5 Nov 2026, 03:16
325,563
-1,075
4 Nov 2026, 06:29
326,638
-1,322
3 Nov 2026, 07:58
327,960
-1,671
2 Nov 2026, 08:56
329,631
-1,612
1 Nov 2026, 12:04
331,243
-1,681
31 Oct 2026, 13:59
332,924
-2,434
30 Oct 2026, 10:45
335,358
-2,231
29 Oct 2026, 10:44
337,589
-2,136
28 Oct 2026, 09:57
339,725
-1,670
27 Oct 2026, 08:08
341,395
-2,308
26 Oct 2026, 05:16
343,703
-849
25 Oct 2026, 02:27
344,552
-2,585
24 Oct 2026, 04:00
347,137
+7,393
23 Oct 2026, 02:27
339,744
+18,381
22 Oct 2026, 00:38
321,363
first reading
Engagement
1,996 posts held, back to 7 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 182 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.94%
avg views ÷ 315,712 subscribers
Avg views / post
9,290
844 posts measured
Reaction rate
3.31%
reactions ÷ views · ER floor
Posts in window
844
of 1,996 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 842 of 844 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 11 November 2026
Posts held
1,996 (7 August 2026 – 11 November 2026)
Views total
7,841,500
Reactions total
259,322
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 09:26 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
≈4,870
Videos
≈6,080
Links
≈95
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
4h 38m
Average length
38s
Measured directly from 438 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
317,033 reactions across 998 posts, in 16 distinct kinds. The most used accounts for 26.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
84,485
26.6%
👌
69,911
22.1%
👍
38,881
12.3%
💔
31,639
9.98%
🤣
31,243
9.85%
🔥
25,600
8.07%
😱
14,271
4.50%
💩
8,838
2.79%
🖕
5,893
1.86%
😁
2,605
0.822%
👎
1,584
0.5%
👏
729
0.23%
🍌
586
0.185%
🤡
554
0.175%
🤩
206
0.065%
🙏
8
0.003%
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 998 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 317,033 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 5 October 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
5
of 1,000 we hold a reading for · 0.5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ireday. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 5 October 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 844 posts held from the last 30 days (0.237%) 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).
🔴 اکسیوس به نقل از سه منبع حاضر در نشست محرمانه گروه هفت:
ترامپ گزینه سوم، یعنی خفه کردن جمهوری اسلامی با فشار اقتصادی رو انتخاب کرده.
ترامپ دو گزینه ازسرگیری جنگ با ایران یا دستیابی به توافق رو بررسی کرد، اما در نهایت گزینه سوم، یعنی تحت فشار اقتصادی قرار دادن و خفه کردن جمهوری اسلامی رو انتخاب کرد.
این فشارها هزینههای سنگینی به اقتصاد ایران تحمیل میکنه و توان حکومت برای تأمین مالی گروههای مورد حمایت و بازسازی ت…
🔴 نیویورکتایمز به نقل از سه منبع آگاه:
اسکات بسنت، وزیر خزانهداری آمریکا، پس از دریافت تهدیدهایی از سوی جمهوری اسلامی علیه جانش، محل سکونتش رو ترک کرده و به یک پایگاه نظامی منتقل شده.
مقامهای آمریکایی معتقدن تهدیدهای جمهوری اسلامی علیه مقامهای فعلی و سابق آمریکا وارد مرحله پیشرفتهتری شده.
@IreDay
🔴 تو برزیل یه مرد همجنس گرا مجبور کردن یه زن بغل کنه که بعد از بغل کردن از حال میره و بیهوش میشه =)))
بعدش از اونزن شکایت میکنه که بهش تعرض جنسی کرده.
@IreDay
🔴 ردپای چین🇨🇳 تو رسوایی مدیرعامل غول فناوری آمریکا!
چند روز پیش جنسن هوانگ - مدیرعامل 63 ساله شرکت آمریکایی NVIDIA🇺🇸 ، که یکی از بزرگترین تولیدکنندههای تراشههای هوش مصنوعی جهانه، رسماً به خیانت به همسرش اعتراف کرد و از خانواده و کارمندهاش عذرخواهی کرد.
ولی خب داستان به همینجا ختم نشد و الان متوجه شدن که زیدِ این آقا یعنی "آلیس هوانگ" جاسوسِ چین🇨🇳 بوده.
آلیس هوانگ تو انتقال حدود 240 هزار تراشه انویدیا به چین، به …
❤29😁8🖕5👎1
Showing the 12 most recent of 1,996 posts we hold for @ireday. 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 8 posts on @ireday 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
7 September 2026
Median time before seen missing
20 hours
Seen missing in the last 30 days
0
Mentions
Named by 1 registered channel — 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
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@ireday named 3 handles 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@dolar_online named in 2 posts, 11 August 2026 – 12 September 2026
@khabark named in 2 posts, 8 September 2026 – 9 September 2026
@daramd named in 1 post, 7 September 2026 – 7 September 2026
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.
“روزمره ایرانی” (@ireday), 315,712 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ireday.
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.
