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Channel

علم داده و سواد آماری

@IASE_ISLP

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Cite this entry

903subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001001155687
TypeChannel
Username@IASE_ISLP
Descriptionدر این کانال مطالبی در راستای پروژه بین المللی علم داده و سواد آماری، جهت توسعه فرهنگ بکارگیری داده و تحلیل صحیح آن به اشتراک گذاشته می شود.
CreatedBetween 1 September 2015 and 31 December 2015— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held2
On Telegramt.me/IASE_ISLP

Topic

Education — 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. 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
@IASE_ISLP/442 · this entry7 Dec 2024, 13:36 UTC@financial_data_science/3167 Dec 2024, 13:37 UTC1.0072 seconds
@IASE_ISLP/444 · this entry10 Dec 2024, 11:20 UTC@financial_data_science/31810 Dec 2024, 11:21 UTC1.00under a minute
@IASE_ISLP/446 · this entry13 Jan 2025, 09:51 UTC@financial_data_science/32213 Jan 2025, 09:51 UTC1.00under a minute
@IASE_ISLP/448 · this entry5 Mar 2025, 05:28 UTC@financial_data_science/3245 Mar 2025, 05:28 UTC1.00under a minute
@IASE_ISLP/450 · this entry19 Jul 2025, 01:53 UTC@financial_data_science/32619 Jul 2025, 01:53 UTC1.00under a minute
@IASE_ISLP/457 · this entry21 Jun 2026, 14:37 UTC@financial_data_science/33421 Jun 2026, 14:38 UTC1.0072 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@financial_data_science17 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (161)

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 1 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 18 November 2024 to 3 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 @IASE_ISLP — 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.

Growth

9036 Aug 2026, 20:57 — 903 subscribers6 Aug 2026, 21:01 — 903 subscribers6 Aug 2026, 20:576 Aug 2026, 21:01
2 measurements taken within a single day. 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 902–904 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 21:01903no change
6 Aug 2026, 20:57903first reading

Engagement

20 posts held, back to 18 November 2024the 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
15.9%
avg views ÷ 903 subscribers
Avg views / post
144
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
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
WindowRolling 30 days · latest post in window 3 August 2026
Posts held20 (18 November 20243 August 2026)
Views total287
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 21:01 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
148
Videos
10
Links
160

Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Recent posts

3 Aug 2026, 17:22 UTC99 viewsread 6 August 2026
File

مقاله جدیدی امروز با عنوان «تبدیل کانولوشن برای کاهش ابعاد کافی در سری‌های زمانی» را که در مجله ژاپنی آمار و علوم داده (https://doi.org/10.1007/s42081-026-00364-y) منتشر کردیم که در لینک زیر به صورت رایگان قابل مطالعه است. https://rdcu.be/fxyoh این مقاله در مورد مدل های پیش بینی سری زمانی است. معمولا مجموعه داده‌های سری زمانی اغلب شامل مشاهدات یا تأخیرهای گذشته زیادی هستند، اما تنها تعداد کمی از ترکیبات این تأخیرها

30 Jun 2026, 00:57 UTC296 viewsread 6 August 2026

همراهان گرامی درود. امروز سه شنبه ساعت ۱۷:۳۰ (پنج و نیم عصر به وقت ایران) سخنرانی در رابطه با مدلسازی سریهای زمانی توسط یکی از دوستان بنده که استاد علوم کامپیوتر، ریاضیات و آمار دانشگاه ایلینوی هستند در دانشگاه نووا برگزار می شود که لینک زیر را برای علاقه مندان به شرکت آنلاین در مایکروسافت تیمز در دسترس قرار دادم. https://teams.microsoft.com/meet/362618635712328?p=EIGRq2DzNDiGbbJ5MO همانطور که می دانید ارایه به زبا

21 Jun 2026, 14:37 UTC340 viewsread 6 August 2026
Photo

درود و آرزوی سلامتی برای همگی؛ همانطور که می دانید گروهی پارسی زبان در لینکدین درباره علم داده و هوش مصنوعی داریم که در طی قطعی اینترنت و کاهش شدید فعالیت بیشتر اعضا، گروه از طرف لینکدین غیرفعال تلقی شد. نتیجه در کمال تعجب این بود که کلیه مطالب گروه لینکدین که در طی چندسال گذشته جهت ارتقای دانش، اطلاع از تحولات فناوری های اخیر و کمک به نسل جوان داخل کشور به اشتراک گذاشته شده بودند به طور خودکار حذف شدند. جهت احیای گر

17 Feb 2026, 15:56 UTC449 viewsread 6 August 2026

درود. در زیر برخی تحقیقات اخیر را تقدیم دوستان ارجمند می کنم. مهرتان پایدار. - Feroz, A., Ashofteh, A., & Doosti, H. (2025). Biologically Realistic Bayesian Shape-Constrained Mortality Forecasting with Wavelet Smoothing. https://aisel.aisnet.org/acis2025/274 - Pereira, A., & Ashofteh, A. (2026). The Main Challenges of Machine Learning for Credit Scoring. https://doi.org/10.1007/978-3-032-12879-9_45 - Coutinho, M.

2 Jan 2026, 20:21 UTC488 viewsread 6 August 2026

مقاله اخیر در رابطه با بکارگیری یادگیری ماشین برای ارزیابی ریسک اعتباری مشتری Pereira, A.F.P., Ashofteh, A. (2026). The Main Challenges of Machine Learning for Credit Scoring. Springer, Cham. https://doi.org/10.1007/978-3-032-12879-9_45

25 Sept 2025, 11:28 UTC≈2,480 viewsread 6 August 2026

درود. ویدیوی آخرین سخنرانی بنده در دانشگاه پورتو در ارتباط با علم داده و هوش مصنوعی لینکدین https://www.linkedin.com/groups/12424311/ یوتیوب https://youtu.be/GKtc4QQ9MlQ در صورت نیاز می توانید از زیرنویس فارسی یوتیوب استفاده کنید. در این کانال برخی کلاس ها و سخنرانی ها به مرور به اشتراک گذاشته می شود. امیدوارم برای دانشجویان داخل کشور مفید باشد. /شاد و خرم باشید.

1 Sept 2025, 15:03 UTC720 viewsread 6 August 2026
Photo

درود به همگی. این مقاله با موضوع پرکاربرد امروزه MLOps تقدیم می شود که به بررسی اهمیت ذخیره‌سازهای ویژگی در چارچوب‌های عملیات یادگیری ماشین (ML) می‌پردازد، و به طور خاص بررسی می‌کند که چگونه بر زمان پردازش و کارایی کلی گردش کار تأثیر می‌گذارند. این مقاله با همکاری یکی از دانشجویان بنده شاغل در بانک مرکزی برزیل در این مجله علمی IEEE به چاپ رسید. امیدوارم مورد استفاده علاقه مندان قرار گیرد. Nunes, C., & Ashofteh, A. (

19 Jul 2025, 01:53 UTC706 viewsread 6 August 2026
Photo

اهمیت سواد داده و آمار در عصر هوش مصنوعی 👉 https://lnkd.in/dxkxX3QC 🎙️گفتگویی با دکتر استیو از سازمان همکاری و توسعه اقتصادی (OECD) و مدیر سابق بخش تحلیل داده های سازمان بهداشت جهانی (WHO)، که مطالب جالبی را در مورد اهمیت سواد داده و آمار برای همگی در دنیای امروز داده‌ها، هوش مصنوعی و جریان سریع اطلاعات به اشتراک می‌گذارد. 🧠دکتر استیو اعتقاد دارد «سواد داده و آمار فقط مربوط به درک اعداد نیست، بلکه نیازمند شناخت زم

20 Mar 2025, 15:00 UTC726 viewsread 6 August 2026
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نوروز و مقدم بهار بر همه همراهان گرامی فرخنده باد!

5 Mar 2025, 05:28 UTC822 viewsread 6 August 2026
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کاوش در چرخه حیات علم داده: سفر از دیتا تا نتیجه موثر https://dassweb.fep.up.pt سخنرانی بنده در وبینار علم داده و آمار که توسط دانشکده اقتصاد دانشگاه پورتو با دعوت پروفسور پائولا بریتو و پروفسور ماریا ادواردا سیلوا در این سخنرانی به چگونه تاثیر علم داده و هوش مصنوعی با استفاده از منابع داده جدید پرداختم. امروزه با پیشرفت در مدلهای زبانی بزرگ، هوش مصنوعی، DataSpace و پلتفرم‌های وب، متخصصان در سراسر صنایع باید با سیستم

5 Feb 2025, 00:36 UTC705 viewsread 6 August 2026
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https://youtu.be/yNvvVPAhkD0?si=9jbayXQNfauz7beb گفتگو با پروفسور دکتر ریس سی جونز در رابطه با سواد آماری و چگونگی داستان سرایی با داده پروفسور دکتر جونز استاد مدعو آموزش آمار در دانشگاه متروپولیتن منچستر و عضو هیئت تحریریه مجله تدریس آمار است. در مراسم روز جهانی سواد آماری افتخار عضویت در نشستی را داشتم که از ایشان به عنوان سخنران مدعو دعوت کردیم و در این سخنرانی جذاب، پروفسور جونز به بررسی قدرت سواد آماری و چگونگی

Showing the 12 most recent of 20 posts we hold for @IASE_ISLP. 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.

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 6 August 2026 — this entry's latest reading, not the date you are reading this.

“علم داده و سواد آماری” (@IASE_ISLP), 903 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/IASE_ISLP.

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.