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 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 (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 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 22 November 2025 to 10 February 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 — 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 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.
26 measurements spanning 93 days, net -103. 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 7,671–7,804 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
6 Nov 2026, 22:16
7,686
-3
3 Nov 2026, 19:16
7,689
-5
31 Oct 2026, 22:41
7,694
-10
29 Oct 2026, 01:10
7,704
-3
26 Oct 2026, 06:51
7,707
-7
23 Oct 2026, 13:20
7,714
+1
20 Oct 2026, 17:31
7,713
-2
17 Oct 2026, 13:36
7,715
-3
14 Oct 2026, 22:04
7,718
-2
11 Oct 2026, 20:36
7,720
-3
5 Oct 2026, 05:57
7,723
-14
27 Sept 2026, 04:18
7,737
+8
18 Sept 2026, 05:16
7,729
-12
13 Sept 2026, 20:20
7,741
-12
10 Sept 2026, 05:39
7,753
+7
4 Sept 2026, 23:21
7,746
-10
1 Sept 2026, 05:45
7,756
-4
29 Aug 2026, 09:34
7,760
-7
26 Aug 2026, 00:58
7,767
-12
22 Aug 2026, 16:06
7,779
first reading
Engagement
43 posts held, back to 22 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 28 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.4%
avg views ÷ 7,686 subscribers
Avg views / post
1,420
6 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
6
of 43 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 November 2026
Posts held
43 (22 November 2025 – 4 November 2026)
Views total
8,491
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 01:18 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
≈1,650
Videos
≈88
Links
≈1,340
Lifetime counters from Telegram’s own channel header, read 8 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
11m 30s
Average length
2m 18s
Measured directly from 5 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: 2 of 6 posts held from the last 30 days (33.3%) 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).
🎆 تخفیف ویژه به مناسبت گرامیداشت ۱۳ آبان
❌فقط به مدت ۳ روز، از چهارشنبه تا پایان جمعه❌
علی رغم تکمیل ظرفیت تخفیف 30%، به مناسبت این روز ⬇️⏬
🛍فقط برای ۵ نفر، دوباره تخفیف 0️⃣3️⃣ درصد برای ثبت نام دوره ویژوال پارادایم فعال گردید.
💰 هزینه اصلی دوره: ۵,۹۰۰,۰۰۰ تومان
🎁 پرداخت با تخفیف: ۴,۱۰۰,۰۰۰ تومان
⚠️دوره بعدی سال آینده برگزار می شود.⚠️
⏳ پس فرصت را از دست نده و همین الان برای تبدیل شدن به یک تحلیلگر حرفه ای فرا…
🚨با نزدیک شدن به توافق ایران و آمریکا و احتمال قطعی اینترنت، برای اطلاعرسانی، کانال ما را در پیامرسان داخلی بله دنبال کنید.
https://ble.ir/bpmschool
از مدلسازی فرایند تا تحلیل و شبیهسازی؛ ویژوال پارادایم را حرفهای یاد بگیرید!
✅ اگر در حوزه مدیریت فرایند (BPM) فعالیت می کنید احتمالاً میدانید که انتخاب یک ابزار مناسب تا چه اندازه ضروری است!!
💯 ویژوال پارادایم یکی از ابزارهای قدرتمند است که امکانات متنوعی در اختیار متخصصان قرار میدهد.
با این نرمافزار میتوانید:
🔹 فرایندهای کسبوکار را براساس استاندارد BPMN مدلسازی کنید.
🔹 معماری فرایندها را طراحی و مستندسازی…
🔈کارگاه آموزشی نرم افزار ویژوال پارادایم (Visual Paradigm)
🔴این دوره مشمول تخفیف ویژه یکبار در سال شده است.
✔️ با توجه به استقبال فراوان مخاطبین، مهلت تخفیف چندین مرتبه تمدید گردید و در حال حاضر کد تخفیف ۳۰٪ فقط برای #۵_نفر دیگر قابل استفاده خواهد بود.
💰 هزینه سرمایه گذاری
هزینه واقعی دوره: ۵.۹۰۰.۰۰۰ تومان می باشد که با تخفیف ویژه زیر برای علاقمندان ارایه می شود.👇👇👇
1⃣ ۱۰ نفر اول: تخفیف ۵۰٪ ( تکمیل ظرفیت)
2⃣ ۱۰ ن…
وبینار #رایگان مقایسه ویژوال پاردایم با ویزیو، بیزاجی مدلر و...
🎁 همراه با هدایای ارزنده
🚨 به تمامی شرکت کنندگان، گواهی حضور در وبینار اهدا خواهد شد.
⏳ ظرفیت محدود است و افزایش نخواهد یافت
📅 زمان: چهارشنبه 29 مهرماه
از ساعت 19 الی 20
ثبت نام از طریق ایوند
https://evnd.co/MVm09
کانال تلگرام مدرسه مدیریت فرایند را دنبال کنید.
https://t.me/bpmco
🎞 معماری فرایند، یکی از اصلی ترین نقاط اختلاف BPM و ISO
🔴 دو رویکرد #BPM و #ISO علی رغم شباهت زیاد، تفاوت های جدی دارند.
⌛ در رویکرد BPM شناسایی و تعریف فرایندها با دقت و وسواس زیادی انجام می شود و به هرچیزی فرایند نمی گوییم. در حالی که معمولاً این وسواس برای تعریف فرایند در ISO کمتر دیده می شود.
⭕️ دلیل این سخت گیری برای شناسایی فرایندها این است که در BPM باید فرایندها به گونهای تعریف و مدلسازی شوند که در نهایت…
داستان موفقیت استفاده از نرم افزار ویژوال پارادایم در شرکت لجستیک DHL
✈️ در این مطالعه موردی، نقش استفاده از ویژوال پارادایم جهت بهبود فرایندهای زنجیره تأمین از جمله دریافت سفارش، حمل و نقل، ترخیص و تحویل بیان شده است.
🚨 استفاده از ویژوال پارادایم دستاوردهایی همچون رضایت مشتریان، کاهش تأخیر پروژه ها و افزایش بهره وری داشته است.
🎯 شرکت DHL به کمک ویژوال پارادایم توانسته علاوه بر شبیه سازی فرایندهای کلیدی، این فراین…
❌این رویداد ۲۱ مهر ماه راس ساعت ۱۶ برگزار خواهد شد.
❎ظرفیت محدود است.
⛔️لطفا توجه بفرمایید: این دوره ویژه شرکت کنندگان دوره های قبلی فرایندکاوی ما است. (از سال ۱۳۹۸ تا هم اکنون)
💢لینک ورود به کلاس، ساعت ۱۵.۳۰ دقیقه در گروه دوره های فرایندکاوی قرار خواهد گرفت.
⛔️فرایندکاوی در بیمارستان کوثر شیراز؛ اولین فرایندی که سراغ اش رفتیم
🚨اولین فرایند، "فرایند زمانبندی اتاق عمل" بود.
این فرایند، مسیر بیمار را از پذیرش تا انتقال به بخش دنبال میکند؛ از رزرو و آمادهسازی قبل از عمل گرفته تا بیهوشی، جراحی و ریکاوری.
❓سؤال اصلی ما ساده است:
چطور میتوان زمانبندی اتاقهای عمل را طوری بهبود بدهیم که هم بیمار کمتر منتظر بماند و هم از ظرفیت اتاقهای عمل بهتر استفاده شود؟
اینجاست که فرا…
مدرسه مدیریت فرایند برگزار میکند.
❌ دوره معماری فرایند مبتنی بر APQC
📌 طراحی معماری فرآیندهای کسب و کار اولین گام و جزو مهمترین مراحل استقرار مدیریت فرایند به شمار میرود و داشتن معماری فرآیند مناسب، راهنمایی برای مدلسازی واقعی فرآیندهای کسبوکار را فراهم میکند.
⏰ تاریخ و زمان برگزاری:
پنجشنبه ۲۴ دی ۱۴۰۵، ساعت ۹ الی ۱۳
پنجشنبه ۱ بهمن ۱۴۰۵، ساعت ۹ الی ۱۳
پنجشنبه ۸ بهمن ۱۴۰۵، ساعت ۹ الی ۱۳
پنجشنبه ۱۵ بهمن ۱۴۰۵، …
⛔️توجه:
با خرید این محصول می توانید در رویداد فوق العاده سند پیاده سازی شرکت کنید.
♨️رویداد بروزرسانی دوره مدیریت فرایند (سند پیاده سازی) ویژه شرکت کنندگان دوره های قبلی مدیریت فرایند است که شما با خرید فیلم دوره قبلی مدیریت فرایند با ۵۰ درصد تخفیف ویژه می توانید وارد جمع فراگیران مدیریت فرایند شوید.
👨💻ورود به جمع فراگیران مزایای زیادی برای شما خواهد داشت که برخی از آنها عبارتند از:
⭕️شرکت در بروزرسانی ها بصورت را…
Showing the 12 most recent of 43 posts we hold for @bpmco. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 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.
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.
بانک کتاب صوتی @soutidastan · 95,163 Telegram ranks this channel #80 of 80 here — alongside 79 others — read 16 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“مدرسه مدیریت فرایند” (@bpmco), 7,686 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/bpmco.
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.