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 100% 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. None of the 5 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 14 November 2025 to 3 January 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 @bpmco. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 6 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 7 days, net -11. 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 4,243–4,259 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 04:04
4,245
-7
9 Aug 2026, 23:31
4,252
-5
6 Aug 2026, 21:23
4,257
+1
6 Aug 2026, 04:06
4,256
no change
6 Aug 2026, 01:28
4,256
first reading
Engagement
20 posts held, back to 14 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 3 January 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 12s
Average length
1m 36s
Measured directly from 2 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.
⌛ برگزاری دوره تخصصی تحلیل کسبوکار و آموزش نرمافزار EA برای شهرداری اصفهان
🔈 با افتخار اعلام می کنیم که در نیمه اول دی ماه 1404 یک دوره آموزشی تخصصی در حوزه تحلیل کسبوکار مبتنی بر راهنمای BABOK به همراه آموزش نرم افزار Enterprise Architect برای جمعی از همکاران محترم شهرداری اصفهان برگزار شد.
💥 این دوره به همت #آکادمی_تحلیل_کسب_و_کار با هدف توانمند سازی پرسنل در حوزه تحلیل کسب و کار و مدیریت نیازمندیها اجرا گرد…
📺دانلود رایگان فیلم 7 ساعته آموزش مدیریت فرایند
📱از کانال تلگرام مدرسه مدیریت فرایند
https://t.me/bpmco
⭕️قیمت اصلی این فیلم هم اکنون یک میلیون و نهصد هزار تومان است.
🥳 تخفیف جذاب لحظه آخر
🚨 فقط برای 3 نفر، تا روز دوشنبه (غیرقابل تمدید)
🔈 آخرین فرصت استفاده از تخفیف برای دوره EA
🔜 این دوره از 3 شنبه همین هفته 2 دی آغاز خواهد شد.
📞 جهت اطلاع از شرایط این تخفیف ویژه از طریق شماره زیر به ما پیام دهید ⬇️⬇️⬇️⬇️⬇️
💯 تعلل نکن و گام اول را برای تبدیل شدن به تحلیلگر حرفه ای محکم بردار 🔥🔥
تا کنون بیش از 40 نفر در این مسیر جذاب با ما همراه شده اند، اگر میخواهید تحلیل را به شکل حرفه ای…
⭕️برگزاری دوره تحلیل کسب و کار در گروه صنعتی انتخاب برای پرسنل محترم واحد تحلیل کسب و کار
خرسندیم به مخاطبان گرامی آکادمی تحلیل کسبوکار اعلام کنیم، در پاییز سال ۱۴۰۴ دوره آموزشی "تحلیل کسبوکار مبتنی بر راهنمای BABOK" را درگروه صنعتی انتخاب برگزار کردیم.
⭕️در این دوره پرسنل محترم #واحد_تحلیل_کسب_وکار حضور داشتند.
⚠️تدریس وظایف تحلیلگر کسبوکار، معرفی تکنیکهای منتخب راهنمای BABOK، برگزاری کارگاه برای تعمیق مطال…
🎞 در #نرم_افزار_EA چگونه یک #پروژه_مدلسازی ایجاد نماییم؟
📹 سلسله فیلم های کوتاه آموزشی #نرم_افزار_EA
◀️ در این #ویدیوی_آموزشی که توسط مجموعه #Sparx_Systems (توسعه دهنده نرم افزار EA) تولید شده، نحوه ایجاد یک پروژه داخل نرم افرار EA آموزش داده شده است.
💻 نرم افزار #Enterprise_Architect بهترین و محبوبترین نرم افزار تحلیل کسب و کار در سازمانها می باشد. ❣
🚨 دوره آموزشی نرم افزار EA از هفته آینده آغاز می شود. دوره بع…
💢 کمتر از ۴ ساعت تا پایان تخفیف ویژه عیدانه برای دوره EA فرصت باقی است.
✔️ این تخفیف ۵۰٪ بوده و تمدید نخواهد شد.
🔜 به عنوان یک مزیت ویژه، از هفته آینده فیلم فشرده تحلیل کسب و کار در اختیار شرکت کنندگان این دوره قرار خواهد گرفت.
🔄 اگر میخواهی سال ۱۴۰۴ را به عنوان یک تحلیلگر حرفه ای کسب و کار به پایان برسانی، این بهترین فرصت برای یادگیری بهترین نرم افزار تحلیل کسب و کار هست. ➡️
🎆 تخفیف ویژه عیدانه به مناسبت روز مادر
❌فقط به مدت ۳ روز، از چهارشنبه تا پایان جمعه❌
علی رغم تکمیل ظرفیت تخفیف 50%، به مناسبت این عید عزیز ⬇️⏬
🛍 فقط برای ۳ روز، دوباره تخفیف 0️⃣5️⃣ درصد برای ثبت نام دوره EA فعال گردید.
اگر قصد یادگیری یکی از قدرتمندترین ابزارهای تحلیل را دارید، بدون شک این بهترین فرصت برای شروع است.
⚠️دوره بعدی تابستان سال آینده برگزار می شود.⚠️
⏳ پس فرصت را از دست ندهید و همین الان برای تبدیل …
🔴 یکپارچگی نرم افزار EA با استاندارد BABOK
🔗 در دنیای تحلیل کسب وکار، تسلط بر #مفاهیم_BABOK و آشنایی با #ابزارهای_حرفهای، دو عامل کلیدی برای موفقیت تحلیلگران می باشد. شرکت Sparx Systems (تولید کننده نرم افزار EA) با ارایه یک #پلاگین و #افزونه کاربردی برای BABOK، توانسته این دو دنیا را به شکلی هوشمندانه به هم پیوند دهد. 💥
🖥 این افزونه اختصاصی طی دوره آموزشی EA توسط ما در اختیار شرکت کنندگان قرار خواهد گرفت و نحوه ک…
📱قابل توجه دوستانی که در وبینار هوش مصنوعی در مدیریت فرایند ثبت نام کرده اند
ℹ️وبینار راس ساعت ۱۹ آغاز خواهد شد.
📣لطفا توجه نمایید که وبینار ضبط نخواهد شد.
❌ از ظرفیت وبینار فقط ۲۰ نفر باقی مانده است. پس هنوز فرصت ثبت نام وجود دارد.
بابت برگزاری وبینار زحمات زیادی کشیده شده است. پس اگر ثبت نام کرده اید حتما در وبینار حاضر شوید.
🔗لینک ورود به وبینار، در قسمت «بلیتهای من» در حساب کاربری هر شرکت کننده قابل دسترسی …
🎙️ توضیحاتی در مورد آزمون تحلیل کسب وکار چابک (AAC) از IIBA
در این قسمت دربارهی گواهینامه IIBA®-AAC (Agile Analysis Certification) صحبت میکنم.
یکی از معتبرترین مدارک بینالمللی در حوزه تحلیل کسبوکار چابک.
با هم مرور میکنیم:
✅ساختار و حوزههای آزمون
✅استاندارد و منابع رسمی (Agile Extension to BABOK® Guide)
✅نمونه سؤالات و نحوه پاسخگویی در محیطهای چابک
✅نکات ثبتنام و آمادهسازی
⭕️اگر در مسیر ترکیب تحلیل کسب…
تنها ۱۰ درصد ظرفیت وبینار هوش مصنوعی در مدیریت فرایند باقی مانده است.
Showing the 12 most recent of 20 posts we hold for @baacademyir. 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 — 1,072,763 of 1,345,403entries 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“آکادمی تحلیل کسب و کار” (@baacademyir), 4,245 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/baacademyir.
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.