Local community — 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 90% 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 why it has no browse page of its own yet.
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 (6 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. 7 of the 7 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 31 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 2, the earliest publisher we hold is @Ardabil_today. That is a statement about our reading window, not a claim of authorship.
Views per post sit far below this size band
22.1 average views per post against 5,603 subscribers — an engagement rate of 0.394%. Across the 12,115 registered channels in the same cohort — 3,163–9,998 subscribers, posting mainly in Persian — the middle half sit between 5.55% and 22.5%, with a median of 11.8%.
What this was computed from
Window
30 days (19 July 2026 – 18 August 2026)
Posts measured
74 of 74 published in the window (74 exact, 0 rounded by Telegram)
Views totalled
1,635
Mature posts only
0.578% over 18 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_copy · err_low, last confirmed 18 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.
5 measurements spanning 10 days, net -32. 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 5,598–5,640 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 14:18
5,603
-11
13 Aug 2026, 06:26
5,614
-7
10 Aug 2026, 00:30
5,621
-13
7 Aug 2026, 07:10
5,634
-1
6 Aug 2026, 22:16
5,635
first reading
Engagement
74 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
0.394%
avg views ÷ 5,603 subscribers
Avg views / post
22.1
74 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
74
of 74 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 12 August 2026
Posts held
74 (5 August 2026 – 12 August 2026)
Views total
1,635
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:03 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.
آزادی ۱۸ زندانی مالی در اردبیل به مناسبت روز خبرنگار
۱۸ محکوم مالی غیرعمد با مجموع بدهی ۱۶۸ میلیارد تومان به مناسبت روز خبرنگار آزاد شدند که ۵۴ میلیارد تومان آن با گذشت شاکیان تأمین شده است.
@ardabil_news24
کاهش ۱۸ درصدی جانباختگان تصادفات جادهای در اردبیل
رئیس پلیس راه استان اردبیل:
در بازه زمانی ۴ ماه امسال نیز شاهد کاهش ۱۸ درصدی در آمار جانباختگان ناشی از تصادفات بودهایم که اردبیل را در زمره استانهای برتر کشور از نظر کاهش تصادفات فوتی قرار داده است.
خستگی و خوابآلودگی و سرعت غیرمجاز از مهمترین عوامل مؤثر در وقوع تصادفات به شمار میرود و توجه رانندگان به رعایت سرعت مطمئنه، استراحت کافی و پرهیز از رانندگی در ش…
معاون وزیر کار: نقص اطلاعات فراجا، کالابرگ برخی افراد را قطع کرد
کالابرگ برخی افراد حاضر در کشور بهدلیل ثبتنشدن اطلاعات ورود در سامانه فراجا متوقف شده و وزارت رفاه پیگیر اصلاح این اطلاعات است.
افرادی که صرفاً به عراق سفر کردهاند و پساز آن به کشور بازگشتهاند و به کشور دیگری سفر نکردهاند، اطلاعات لازم از سوی فراجا ارائه میشود تا از فهرست افراد مشکوک به اقامت خارج از کشور خارج شوند و کالابرگ آنها مجدداً برقرا…
مطالبهگری اساس خبرنگاری است
رئیسکل دادگستری استان اردبیل:
با تأکید بر اهمیت مطالبهگری در خبرنگاری، اعلام کرد که این فرآیند باید قانونمند باشد.
رسانهها در کنار پیگیری مطالبات مردم، باید با ارتقای آگاهی حقوقی و ترویج فرهنگ قانونمداری و صلح و سازش، در پیشگیری از ورود افراد به زندان و کاهش آسیبهای اجتماعی نقشآفرینی کنند.
@ardabil_news24
۴۷ درصد مدارس اردبیل هوشمند شدند
تاکنون یکهزار کلاس درس در استان اردبیل هوشمندسازی شده و قرار است امسال نیز ۳۰۰ کلاس دیگر به تجهیزات هوشمند مجهز شوند.
این طرح با اولویت مدارس مناطق کمبرخوردار اجرا میشود و پیشبینی شده آمار هوشمندسازی کلاسهای استان تا مهرماه از ۵۰ درصد عبور کند.
@ardabil_news24
پرواز پارسآباد - تهران از سر گرفته میشود
مدیرکل فرودگاههای استان اردبیل:
پرواز مسیر پارسآباد ـ تهران و بالعکس از روز دوشنبه ۲۶ مردادماه ۱۴۰۵ مجدداً برقرار خواهد شد.
برقراری مجدد پرواز مسیر پارسآباد ـ تهران، نقش مهمی در تسهیل تردد مردم، فعالان اقتصادی، تجار و سرمایهگذاران منطقه دارد و میتواند به تقویت ارتباطات اقتصادی، تجاری و گردشگری شهرستانهای شمال استان اردبیل کمک کند.
@ardabil_news24
خشکسالی ۲۴ماهه همچنان بر مدار مرکزی و غربی اردبیل سایه انداخته است
مدیرکل هواشناسی استان اردبیل:
بهبود نسبی شاخصهای رطوبتی در مقیاس کوتاهمدت نباید باعث عادیانگاری شرایط آبی شود، زیرا خشکسالی انباشته در مقیاس ۲۴ماهه همچنان در بخشهای مرکزی، غربی و جنوب غربی استان پایدار است و بازیابی منابع آب نیازمند زمان طولانیتری خواهد بود.
@ardabil_news24
نوسان قیمت سیبزمینی همزمان با فصل برداشت در اردبیل
فصل برداشت ۷۸۰ هزار تن سیبزمینی در اردبیل آغاز شده است. ورود محصول به بازارهای عمدهفروشی با نرخ ۵۰ تا ۸۰ هزار تومان، اکنون نیازمند مدیریت اصولی عرضه برای حفظ توازن بازار و حمایت جدی از معیشت کشاورزان است.
اردبیل بهعنوان یکی از قطبهای اصلی کشت سیبزمینی در کشور، در سال زراعی جاری ۱۹ هزار و ۵۰۰ هکتار از اراضی خود را به این محصول اختصاص داده است. با متوسط عملکرد ۴…
تمدید مهلت ثبت درخواست میهمانی و انتقالی دانشگاه آزاد تا ۲۵ مرداد
دانشجویان متقاضی میتوانند تا پایان مهلت تعیینشده،درخواست خود را تنها از طریق سامانه «منادا» ثبت کنند و مراحل مربوط به درخواست میهمانی یا انتقالی را انجام دهند.
@ardabil_news24
۴۰ کیلومتر از جاده چهاربانده مغان زیر بار ترافیک رفته است
فرماندار شهرستان پارسآباد: ۴۰ کیلومتر از جاده مغان بهصورت چهاربانده زیر بار ترافیک رفته است که با این اقدام، تصادفات شاخبهشاخ در این محور به صفر رسیده و این مسیر از یک جاده حادثهخیز به جادههای ایمن تبدیل شده است.
فرودگاه پارسآباد از بدو تأسیس با مشکلات عدیدهای مواجه بود که با عنایت مسئولان کشوری و استانی، مشکل سوخترسانی هواپیما در این فرودگاه با اعت…
فرشاد فردی به عنوان مشاور رسانه ای دفتر نماینده ولی فقیه در استان و امام جمعه اردبیل منصوب شد
بعد از اتمام دوره پنج ساله حضور فرشاد فردی در مسئولیت روابط عمومی دفتر نماینده ولی فقیه در استان و امام جمعه اردبیل، حضرت آیت الله سید حسن عاملی طی حکمی جدید وی را به عنوان مشاور رسانه ای دفتر نماینده ولی فقیه در استان و امام جمعه اردبیل منصوب کرد.
@ardabil_news24
Showing the 12 most recent of 74 posts we hold for @ardabil_news24. 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.
Citation-graph rank
Citation-graph rank — 1,406,617 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“خبر اردبیل” (@ardabil_news24), 5,603 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/ardabil_news24.
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.
