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 11 August 2026 and assigned it the closest of 31 fixed categories, at 86% 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. 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)
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 0 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 18 comparable posts for this entry, running 6 July 2026 to 4 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.
Views per post sit far above this size band
13,400 average views per post against 1,286 subscribers — an engagement rate of 1040.8%. Across the 15,813 registered channels in the same cohort — 1,000–3,162 subscribers, posting mainly in Persian — the middle half sit between 8.34% and 32.3%, with a median of 17.2%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
14 of 14 published in the window (4 exact, 10 rounded by Telegram)
Views totalled
187,379
Mature posts only
1040.8% over 14 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above 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_source · err_high, last confirmed 12 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.
413 more channels are in this same group but not listed individually here.
Growth
4 measurements spanning 6 days. 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 1,285–1,286 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 20:34
1,286
+1
6 Aug 2026, 08:06
1,285
no change
6 Aug 2026, 07:50
1,285
-1
5 Aug 2026, 22:45
1,286
first reading
Engagement
20 posts held, back to 6 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
1040.8%
avg views ÷ 1,286 subscribers
Avg views / post
13,400
14 posts measured
Reaction rate
0.051%
reactions ÷ views · ER floor
Posts in window
14
of 20 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 4 August 2026
Posts held
20 (6 July 2026 – 4 August 2026)
Views total
187,379
Reactions total
96
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 08:06 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.
همراهی #بيمه_البرز با دلدادگان حسینی؛
برپایی موکب در مسیر جاماندگان اربعین
شرکت #بيمه_البرز همگام با خیل عظیم عاشقانه اباعبدالله الحسین (ع)، با برپایی موکبی اختصاصی در مسیر راهپیمایی جاماندگان اربعین حسینی، میزبان جمع کثیری از هموطنان و عزاداران حسینی بود. در این موکب، علاوه بر پذیرایی و ارائه خدمات رفاهی به زائران، برنامهها و بستههای متنوع فرهنگی نیز به مراجعان ارائه شد.
#بيمه_البرز_توانگر_و_ماندگار
ارتباط بیوقفه؛ تعهد ما به همراهان #بیمه_البرز
پاسخگویی در ۲۴ ساعت شبانهروز و ۷ روز هفته، مرزهای ارائهی خدمات پیشرو را در بیمه البرز جابهجا کرده است.
ما معتقدیم سهولت در ارتباط، سرعت بالا و ارتقای مداوم کیفیت پاسخگویی، حق مسلم مشتریان ماست.
🔹 در این ویدیو، مرور کوتاهی داریم بر جدیدترین دستاوردها و اقدامات مدیریت امور مشتریان بیمه البرز در راستای تسهیل مسیرهای ارتباطی و ارتقای تجربه مشتریان
#بيمه_البرز_توانگر_و_…
کامبیز پیکارجو رئیس هیات مدیره #بيمه_البرز شد.
دکتر کامبیز پیکارجو به عنوان رئیس هیات مدیره شرکت بیمه البرز معرفی شد.
به گزارش روابط عمومی و امور بین الملل بیمه البرز، دکتر پیکارجو دارای مدرک دکترای تخصصی اقتصاد مالی و بینالملل بوده که استادیاری و عضویت در هیئتعلمی دانشگاه آزاد اسلامی واحد علوم و تحقیقات ، مدیرعاملی و عضویت در هیئتمدیره بیمه آرمان، رئیس هیات مدیره بیمه ما، عضو هیات مدیره بانک شهر، قائممقامی ب…
فروش بیمههای زندگی و سرمایهگذاری پروژهمحور #بیمه_البرز از مرز ١٠ هزار میلیارد ریال گذشت.
بیمه البرز با جذب ۱۰ هزار میلیارد ریال نقدینگی در طرح بیمههای زندگی و سرمایهگذاری پروژهمحور، گام بزرگی در هدایت سرمایههای خرد به بخش مولد برداشت. این طرح نوآورانه پس از تأمین مالی موفق صنایع لوازم خانگی و زنجیره فولاد، در فاز چهارم خود وارد صنعت استراتژیک پتروشیمی گردید.
مشروح خبر:
https://www.alborzinsurance.ir/Publ…
تصویب صورتهای مالی و تقسیم ۱۲۰ ریال سود در مجمع عمومی #بیمه_البرز
مجمع عمومی عادی سالیانه شرکت #بیمه_البرز صبح روز چهارشنبه با حضور ۸۹.۴۷ درصد از سهامداران در محل سالن همایش های ساختمان مرکزی این شرکت برگزار شد و ضمن تصویب صورتهای مالی سال مالی منتهی به ۲۹ اسفند ۱۴۰۴، توزیع ۱۲۰ ریال سود نقدی بهازای هر سهم به تأیید رسید.
مشروح خبر:
https://www.alborzinsurance.ir/PublicBlogDetail/5068
آغاز لیگ بیمه زندگی البرز؛ رقابتی نوآورانه برای توسعه فروش و تحول دیجیتال
همزمان با رونمایی از اپلیکیشن لیبز، لیگ سراسری بیمه زندگی البرز بهعنوان یکی از بزرگترین رویدادهای رقابتی و انگیزشی این حوزه آغاز شد؛ رویدادی که با هدف توسعه فروش، ارتقای دانش فنی، تقویت فرهنگ کار تیمی و بهرهگیری از فناوریهای نوین، فصل تازهای در مسیر تحول بیمههای زندگی #بیمه_البرز رقم میزند.
▪️قسمت اول: بخش یک
#بیمه_البرز
پیوندِ سرمایههای مردم با چرخِ تولید؛ نگاهِ نوِ #بیمه_البرز برای آبادانی ایران.
بیمه البرز با توسعهٔ «بیمههای زندگی و سرمایهگذاری پروژهمحور»، سرمایههای خرد مردم رو درست وسطِ شریانهای تولیدی کشور آورده تا آیندهای مطمئنتر بسازه.
حالا وقتشه که هر کدوم از ما، وظیفهمون رو در قبال این خاک تمام و کمال انجام بدیم.
#بیمه_البرز_توانگر_و_ماندگار
#روابط_عمومي_و_امور_بين_الملل
بیمه البرز با «بیمه زندگی پروژهمحور» ساختار یونیتلینکها را بازطراحی کرد.
قائممقام مديرعامل #بیمه_البرز در رویداد «یونیتلینکها» به تشریح تجربه این شرکت در پیادهسازی بیمه زندگی پروژهمحور پرداخت؛ رویکردی که به عنوان راهکاری استراتژیک برای کاهش نوسانات بازار، مورد تایید دکتر حسین عبدهتبریزی قرار گرفت.
مشروح خبر:
https://www.alborzinsurance.ir/PublicBlogDetail/5067
آغاز لیگ بیمه زندگی البرز؛ رقابتی نوآورانه برای توسعه فروش و تحول دیجیتال
همزمان با رونمایی از اپلیکیشن لیبز، لیگ سراسری بیمه زندگی البرز بهعنوان یکی از بزرگترین رویدادهای رقابتی و انگیزشی این حوزه آغاز شد؛ رویدادی که با هدف توسعه فروش، ارتقای دانش فنی، تقویت فرهنگ کار تیمی و بهرهگیری از فناوریهای نوین، فصل تازهای در مسیر تحول بیمههای زندگی #بیمه_البرز رقم میزند.
مشروح خبر:
https://alborzinsurance.ir/Public…
همکاران عزیز ما روایتی شنیدنی از این کارنامه پر از غرور #بیمه_البرز دارند؛
از روزهایی که با تکیه بر همافزایی و باوری مشترک، سختترین چالشها را پشت سر گذاشتند و رکوردهایی ماندگار را در تاریخ صنعت بیمه به ثبت رساندند.
مدیریت روابط عمومی و امور بینالملل، فرارسیدن این روز بزرگ را به تکتک همکاران فداکار و شریف مجموعه با اصالت بیمه البرز تبریک و تهنیت میگوید. افتخار امروز البرز، ثمره عشق و تلاش بیدریغ شماست.
#بيم…
در این ویدیو، نگاهی انداختهایم به تاریخچه، افتخارات و مسیر پرفراز و نشیب کهنترین و موفقترین شرکت بیمه خصوصی ایران. شما را به تماشای این مستند کوتاه دعوت میکنیم.
سالروز تاسیس #بيمه_البرز گرامی باد.
Showing the 12 most recent of 20 posts we hold for @alborzinsurance_co. 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 — 196,184 of 1,151,006entries 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.
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.
Mentions
Named by 5 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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“بیمه البرز” (@alborzinsurance_co), 1,286 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/alborzinsurance_co.
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.
