National news — 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 61% 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. 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 (5 of the pairs behind the counts below)
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 2 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 15 comparable posts for this entry, running 29 July 2026 to 6 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 2, the earliest publisher we hold is @inta_press — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 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 1 other registered channel, 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.
26 measurements spanning 90 days, net +190. 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 8,500–8,750 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
4 Nov 2026, 19:39
8,721
+11
1 Nov 2026, 22:54
8,710
+9
29 Oct 2026, 15:39
8,701
+7
26 Oct 2026, 11:09
8,694
+4
23 Oct 2026, 21:00
8,690
+13
20 Oct 2026, 23:49
8,677
+7
18 Oct 2026, 06:18
8,670
+7
15 Oct 2026, 06:08
8,663
-3
12 Oct 2026, 14:21
8,666
+7
6 Oct 2026, 00:40
8,659
+21
28 Sept 2026, 13:00
8,638
+27
18 Sept 2026, 11:16
8,611
+9
13 Sept 2026, 19:40
8,602
-3
10 Sept 2026, 01:36
8,605
+13
4 Sept 2026, 10:17
8,592
+6
31 Aug 2026, 20:57
8,586
+13
28 Aug 2026, 16:43
8,573
+8
25 Aug 2026, 07:25
8,565
+16
22 Aug 2026, 12:12
8,549
-2
19 Aug 2026, 11:38
8,551
first reading
Engagement
112 posts held, back to 29 July 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 30 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.00%
avg views ÷ 8,721 subscribers
Avg views / post
610
36 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
36
of 112 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
112 (29 July 2026 – 5 November 2026)
Views total
21,963
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 22:31 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
≈4,150
Videos
≈1,120
Links
≈3,100
Lifetime counters from Telegram’s own channel header, read 5 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
29m 19s
Average length
1m 38s
Measured directly from 18 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 36 posts held from the last 30 days (0%) 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).
✅ مودیانی که محل اقامت، محل فعالیت اقتصادی یا ماشین آلات آنها به صورت مستقیم از جنگ آسیب دیده است نیز در چارچوب ظرفیت ماده 165 قانون مالیات های مستقیم می توانند نسبت به جبران خسارت های خود اقدام کنند. خسارت های وارده به این مودیان از درآمد مشمول مالیات آنها در سال جاری یا سال های بعد کسر قابل کسر است.
روابط عمومی اداره کل امور مالیاتی استان همدان
ذکوری، مدیرکل امور مالیاتی همدان تشریح کرد:
شرایط لحاظ شدن آثار و تبعات جنگ در محاسبات مالیات عملکرد ۱۴۰۴
✅ تایید فرم مالیات مقطوع موضوع تبصره 100 قانون مالیات های مستقیم یا ارائه اظهارنامه برای صاحبان مشاغل تا پایان آبان ماه تمدید شده است.
💢آیا شرایط جنگی و خسارت ها و آسیب های وارده به مودیان در محاسبه مالیات مقطوع یا اظهارنامه پیش فرض لحاظ شده است؟
در پاسخ باید گفت چون مالیات بر اساس گردش حساب های بانکی، فروش و ا…
محمدی، مدیرکل امور مالیاتی زنجان تاکید کرد:
بارگذاری فرم تبصره ماده 100 قانون مالیات های مستقیم تا پانزدهم آبان ماه برای همه مشمولین
🟢 مودیان مشمول تبصره ماده 100 قانون مالیات های مستقیم که برای آنها مالیات صفر لحاظ شده است نیازی به تایید فرم تبصره نخواهند داشت.
🟢 فرم تبصره برای سایر مودیان مشمول نیز به مرور تا پانزدهم آبان ماه در سامانه بارگذاری خواهد شد و پس از بازگذاری نیز از طریق پیامک به آنها اطلاع رسانی خواهد…
💢 کارنامه ادارات کل امور مالیاتی سراسر کشور در وصول و توزیع مالیات و عوارض ارزش افزوده نیز به سرتیتر رسانه ها تبدیل شد. افزایش قابل توجه سهم بخش سلامت، شهرداری ها، دهیاری ها و امور عشایر از مالیات و عوارض ارزش افزوده در استان ها از اثربخشی قانون مالیات بر ارزش افزوده در تامین مالی پایدار و بازتوزیع عادلانه منابع حکایت دارد.
💢 گزارش ها و تحلیل هایی نیز در خصوص نقش حکمرانی داده در اجرای تبصره ماده 100 قانون مالیات ها…
مالیات در هفته ای که گذشت
💢 در هفته دوم آبان ماه، تسهیل تکالیف قانونی مشاغل خرد از رهگذر اجرای تبصره ماده 100 قانون مالیات های مستقیم از مهمترین اخبار پربسامد در فضای اقتصادی کشور بود. طرح نشان دار کردن مالیات و انتخاب محل هزینه کرد مالیات توسط مشاغل خرد نیز از دیگر سوژه های مورد بحث بود. افزایش تمکین داوطلبانه مشاغل خرد، افزایش شفافیت نظام مالیاتی و کاهش فرار مالیاتی از جمله مهمترین پیامدهایی بود که از سوی کارشناس…
معتمدیزاده، نماینده سیرجان و بردسیر در مجلس شورای اسلامی:
با اجرای تبصره ماده ۱۰۰؛ پرداخت مالیات مشاغل تسهیل و عدالت و شفافیت مالیاتی محقق شده است
عضو کمیسیون اصل نودم قانون اساسی در مجلس شورای اسلامی گفت: استفاده از سازوکارهای هوشمندسازی اخذ مالیات مشاغل ذیل تبصره ماده ۱۰۰ قانون مالیاتهای مستقیم به شفافیت و عدالت در پرداخت مالیات منجر میشود و زمینه اقساط پرداخت مالیات را فراهم میکند که بهنفع مؤدیان است.
https…
رنجبرزاده، نماینده اسدآباد همدان در مجلس شورای اسلامی مطرح کرد؛
تقویت مشارکت مردم در روندهای اقتصادی کشور با اخذ هوشمند مالیات مشاغل
عضو کمیسیون صنایع و معادن مجلس شورای گفت: تبصره ماده ۱۰۰ قانون مالیاتهای مستقیم سازوکاری هوشمند برای مالیاتستانی درحالاستفاده است. این روند، انجام تکالیف مالیاتی را در حوزه پرداخت مالیات تسهیل کرده که در نهایت منافع کشور را تأمین میکند.
https://www.intamedia.ir/news/id/71045
مدیرکل امور مالیاتی استان قم خبر داد:
اختصاص بیش از ۷۰۰ میلیارد تومان اعتبار به 21 پروژه عمرانی و آموزشی قم در قالب طرح نشاندار کردن مالیات
🟢 مدیرکل امور مالیاتی استان قم از اختصاص بیش از ۷۰۰ میلیارد تومان اعتبار به 21 پروژه طرح نشاندار کردن مالیات در قم در سال جاری خبر داد.
https://www.intamedia.ir/news/id/71052
مدیرکل امور مالیاتی شرق استان تهران خبر داد:
توزیع ۱۲ هزار و ۸۰۰ میلیارد ریال عوارض ارزش افزوده برای توسعه شرق استان تهران
🟢 مدیرکل امور مالیاتی شرق استان تهران گفت: در ششماهه نخست سال ۱۴۰۵ بالغ بر ۱۲ هزار و ۸۰۰ میلیارد ریال از محل عوارض ارزش افزوده به حساب شهرداریها، دهیاریها، روستاهای فاقد دهیاری و جامعه عشایری شهرستانهای پردیس، دماوند و فیروزکوه واریز شده است.
https://www.intamedia.ir/news/id/71051
💢حسینیکیا، نماینده مردم سنقر کرمانشاه در مجلس شورای اسلامی مطرح کرد؛
مالیاتستانی دادهمحور و عادلانه از مشاغل ذیل تبصره ماده ۱۰۰ قانون مالیاتهای مستقیم
🔹️عضو کمیسیون صنایع و معادن مجلس شورای اسلامی گفت: یکی از محورهای اساسی در زمینه تحقق عدالت مالیاتی و اخذ مالیات از مشاغل، اجرای تبصره ماده ۱۰۰ قانون مالیاتهای مستقیم و مالیات بر عملکرد مشاغل مبتنی بر دادهمحوری و به شکل هوشمند است.
https://www.intamedia.ir/ne…
🟢 در سال ۱۴۰۴، تعدادی از صاحبان مشاغل تصمیم گرفتند مالیات شان را به تکمیل مدرسه فنی و حرفه ای مرحوم نصیری در فریدونکنار مازندران اختصاص دهند.
🟢 از رهگذر طرح نشان دار کردن مالیات در سال گذشته ۹ میلیارد و ۸۰۰ میلیون تومان اعتبار مورد نیاز برای ارتقای امکانات و ساخت زمین چمن این مدرسه تامین شد.
🟢 حالا بخشی از این تجهیزات و امکانات خریداری شده و امکانات این مدرسه در حال ارتقا است و ساخت زمین چمن آن نیز در دستور کار قرا…
🟢 در سال ۱۴۰۴، تعدادی از صاحبان مشاغل تصمیم گرفتند مالیات شان را به تکمیل مدرسه فنی و حرفه ای مرحوم نصیری در فریدونکنار مازندران اختصاص دهند.
🟢 از رهگذر طرح نشان دار کردن مالیات در سال گذشته ۹ میلیارد و ۸۰۰ میلیون تومان اعتبار مورد نیاز برای ارتقای امکانات و ساخت زمین چمن این مدرسه تامین شد.
🟢 حالا بخشی از این تجهیزات و امکانات خریداری شده و امکانات این مدرسه در حال ارتقا است و ساخت زمین چمن آن نیز در دستور کار قرا…
Showing the 12 most recent of 112 posts we hold for @inta_press. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
اطلاع رسانی مالیاتی @taxinformation · 39,879 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 31 August 2026
تکس پرس | تازه های مالیاتی @taxpress · 58,037 Telegram ranks this channel #10 of 44 here — alongside 43 others — read 23 August 2026
دانستنی های مالیاتی @danestanihaiemalyati · 30,624 Telegram ranks this channel #31 of 70 here — alongside 69 others — read 7 September 2026
پادکست آقای مالیات 📻 @MrTax_podcast · 22,527 Telegram ranks this channel #38 of 95 here — alongside 94 others — read 20 September 2026
مدیریت مالی || حسابداری @vazinargham · 63,964 Telegram ranks this channel #49 of 90 here — alongside 89 others — read 21 August 2026
Bank Pasargad @bankpasargadtelegram · 19,826 Telegram ranks this channel #67 of 74 here — alongside 73 others — read 30 September 2026
This channel appears in 6 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“سازمان امور مالیاتی کشور” (@inta_press), 8,721 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/inta_press.
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.