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Channel

حل اختلاف

@halle_ekhtelaf

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

10,112subscribers

-81 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001030182054
TypeChannel
Username@halle_ekhtelaf
CreatedBetween 1 February 2016 and 30 April 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/halle_ekhtelaf

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 52% 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 3 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@halle_ekhtelaf/19592 · this entry31 Jul 2026, 05:30 UTC@Saramad_HRD/454031 Jul 2026, 05:33 UTC1.003 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Saramad_HRD12 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (7–5)

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 3 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 14 comparable posts for this entry, running 30 July 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 3, the earliest publisher we hold is @Saramad_HRD. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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 2 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.

Growth

10,11210,19310,152.55 August 2026 — 10,193 subscribers6 August 2026 — 10,193 subscribers7 August 2026 — 10,191 subscribers8 August 2026 — 10,184 subscribers9 August 2026 — 10,182 subscribers10 August 2026 — 10,181 subscribers11 August 2026 — 10,179 subscribers12 August 2026 — 10,175 subscribers13 August 2026 — 10,174 subscribers14 August 2026 — 10,173 subscribers16 August 2026 — 10,172 subscribers17 August 2026 — 10,170 subscribers18 August 2026 — 10,168 subscribers20 August 2026 — 10,164 subscribers21 August 2026 — 10,167 subscribers23 August 2026 — 10,166 subscribers25 August 2026 — 10,160 subscribers26 August 2026 — 10,158 subscribers27 August 2026 — 10,155 subscribers29 August 2026 — 10,153 subscribers31 August 2026 — 10,150 subscribers1 September 2026 — 10,148 subscribers2 September 2026 — 10,144 subscribers6 September 2026 — 10,141 subscribers10 September 2026 — 10,135 subscribers12 September 2026 — 10,134 subscribers15 September 2026 — 10,128 subscribers17 September 2026 — 10,124 subscribers25 September 2026 — 10,112 subscribers5 August 202625 September 2026
29 measurements spanning 50 days, net -81. 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 10,100–10,205 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
25 Sept 2026, 07:1910,112-12
17 Sept 2026, 07:1810,124-4
15 Sept 2026, 09:1610,128-6
12 Sept 2026, 04:3910,134-1
10 Sept 2026, 00:3810,135-6
6 Sept 2026, 18:5810,141-3
2 Sept 2026, 21:1310,144-4
1 Sept 2026, 16:5810,148-2
31 Aug 2026, 15:3610,150-3
29 Aug 2026, 18:4410,153-2
27 Aug 2026, 22:0910,155-3
26 Aug 2026, 23:4610,158-2
25 Aug 2026, 01:4710,160-6
23 Aug 2026, 17:0710,166-1
21 Aug 2026, 23:5410,167+3
20 Aug 2026, 20:4710,164-4
18 Aug 2026, 15:5310,168-2
17 Aug 2026, 14:2410,170-2
16 Aug 2026, 08:1210,172-1
14 Aug 2026, 16:2510,173first reading

Engagement

54 posts held, back to 30 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 37 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.20%
avg views ÷ 10,112 subscribers
Avg views / post
324
4 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
4
of 54 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 29 August 2026
Posts held54 (30 July 2026 – 29 August 2026)
Views total1,294
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 03:44 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

Video runtime
27m 26s
Average length
1m 22s

Measured directly from 20 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.

Reaction mix

45 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 75.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3475.6%
👏511.1%
👍48.89%
🤔12.22%
🤣12.22%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 20 of the 54 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 45 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 30 July 2026 to 29 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

29 Aug 2026, 03:31 UTC19 viewsread 29 August 2026
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چرا با وجود آموزش‌های زیاد، هنوز در اجرا گیر می‌کنیم؟ واقعیت این است که مسئله همیشه «کمبود آموزش» نیست. خیلی وقت‌ها سازمان‌ها دوره برگزار می‌کنند، ساعت آموزش را بالا می‌برند و از Completion Rate راضی‌اند؛ اما در عمل، رفتارها تغییر نمی‌کند و عملکرد بهتر نمی‌شود. چرا؟ چون آموزش فقط یک حلقه از زنجیره عملکرد است. «برای این مشکل چه دوره‌ای برگزار کنیم؟» اما HR سیستم‌محور می‌پرسد: «چه چیزی در سیستم سازمان مانع رفتار مطلوب …

28 Aug 2026, 13:49 UTC296 viewsread 29 August 2026
Forwarded from @Saramad_HRDPhoto

💙 خبر خوب برای همراهان سرآمد! همکاری «اسنپ‌پی» با فروشگاه توسعه منابع انسانی سرآمد آغاز شد؛ یعنی از همین حالا می‌توانید دوره‌های آموزشی موردنظرتان را از سایت سرآمد انتخاب کنید و هزینه آن را در ۴ قسط بپردازید. و چه زمانی بهتر از ابتدای ماه؟ 😍 حالا که اعتبار اسنپ‌پی این ماه شارژ شده، می‌توانید بدون به‌تعویق‌انداختن مسیر رشد حرفه‌ای‌تان، دوره‌ای را که مدت‌هاست قصد شرکت در آن را دارید تهیه کنید. به‌ویژه اگر منتظر فرصت…

28 Aug 2026, 08:48 UTC361 viewsread 29 August 2026
Forwarded from @Saramad_HRDVideo

🎥 شما هم همه چیز رو با مدیرتون چک می‌کنید؟ 😇 در اینستاگرام حمایت کنید 🥰 https://www.instagram.com/reel/Dck8rhKIH3w/?igsi=eDg3aWNnb3R4eHVn

28 Aug 2026, 03:31 UTC618 viewsread 29 August 2026
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در مسیر حرفه‌ای منابع انسانی، فقط «تجربه بیشتر» باعث رشد نمی‌شود؛ مهم‌تر از آن، تغییری است که در نوع نگاه، تصمیم‌گیری و میزان اثرگذاری شما بر سازمان اتفاق می‌افتد. ۵ سطح بلوغ متخصص منابع انسانی را می‌توان این‌طور دید: ۱️⃣ مجری؛ تمرکز بر انجام درست وظایف و فرایندهای روزمره ۲️⃣ متخصص؛ تسلط بر ابزارها و حوزه‌های تخصصی منابع انسانی ۳️⃣ حل‌کننده مسئله؛ تحلیل چالش‌ها و ارائه راهکارهای اثربخش ۴️⃣ شریک کسب‌وکار؛ پیوند منابع …

27 Aug 2026, 08:52 UTC464 viewsread 29 August 2026
Forwarded from @Saramad_HRDVideo

⁨ بیش از ۱۰۰ خبره شغلی در یک سالن جمع شدند تا زیرساخت یک تصمیم بزرگ را بسازند: هر شغل در سازمان واقعاً چقدر ارزش دارد؟ در شرکت صنعت غذایی کوروش، جلسه آموزش خبرگان مشاغل برای اجرای پروژه ارزشیابی و طبقه‌بندی مشاغل بر اساس مدل تخصصی TTM برگزار شد؛ مدلی که کمک می‌کند ارزش مشاغل نه بر اساس سلیقه و عنوان افراد، بلکه بر پایه مسئولیت‌ها، پیچیدگی‌ها، دانش، مهارت و اثرگذاری واقعی هر شغل تعیین شود. مشارکت خبرگان سازمان در ای…

27 Aug 2026, 03:31 UTC519 viewsread 29 August 2026
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گاهی مسئله این نیست که «نتونستی ادامه بدی»؛ مسئله اینه که وسط مسیر، چیز مهم‌تری رو فهمیدی: این مسیر، مسیر تو نیست. ما معمولاً ناتمام گذاشتن یک دوره، تغییر شغل یا عوض کردن مسیر حرفه‌ای رو با «شکست» اشتباه می‌گیریم؛ در حالی که بعضی وقت‌ها این تغییر، نتیجه‌ی شناخت دقیق‌تر از خودمونه. شناختِ بهترِ علاقه‌ها، توانمندی‌ها و آینده‌ای که واقعاً می‌خوای، ممکنه باعث بشه تصمیمی بگیری که از بیرون شبیه عقب‌نشینیه؛ اما در واقع، یک …

27 Aug 2026, 03:15 UTC792 viewsread 29 August 2026
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کارکنان همیشه به‌خاطر حقوق و مزایا سازمان را ترک نمی‌کنند. گاهی می‌روند چون رفتار مدیر، این احساس را در آن‌ها ایجاد کرده که دیده نمی‌شوند یا با آن‌ها منصفانه برخورد نمی‌شود. البته هر تفاوتی، تبعیض نیست. در محیط کار، گاهی به‌دلیل محدودیت منابع، فوریت یک موضوع یا شرایط خاص سازمان، ناچاریم تصمیم‌های متمایزی بگیریم؛ مثلاً به درخواست فردی زودتر رسیدگی کنیم، اختیار بیشتری به او بدهیم یا در دو موقعیت به‌ظاهر مشابه، تصمیم‌ها…

26 Aug 2026, 14:12 UTC544 viewsread 29 August 2026

سؤال: آیا فرمانداری یا کمیسیون کارگری میتواند برای یک شرکت‌ خصوصی قانون تعیین کند که استخدام کارگر را باید فقط از مواردی که خودشان تعیین کرده اند انجام بدهند؟ پاسخ: خیر، این مراجع بدون وجود مجوز صریح قانونی، نمیتوانند برای شرکت‌ های خصوصی مقررات یا محدودیت استخدامی تعیین کنند یا آنها را مکلف کنند که استخدام نیروی مورد نیاز خود را از یک مسیر مشخص انجام بدهند. باآرزوی توفیق آرمین خوشوقتی @halle_ekhtelaf

26 Aug 2026, 03:30 UTC821 viewsread 29 August 2026
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خیلی وقت‌ها مشکل تیم منابع انسانی، کم‌کاری نیست؛ مشکل این است که آن‌قدر درگیر کارهای فوری و درخواست‌های پراکنده است که فرصت نمی‌کند روی اولویت‌های واقعی تمرکز کند. استخدام فوری، درخواست مدیران، مسائل کارکنان، آموزش‌های بدون برنامه و ارزیابی‌های عقب‌افتاده… همه می‌توانند HR را وارد یک چرخه دائمی از واکنش نشان دادن کنند. اما HR حرفه‌ای فقط یک لیست بلند از کارها ندارد؛ برای هر اولویت می‌داند: ▪️ چه مسئله‌ای را حل می‌…

25 Aug 2026, 11:59 UTC≈1,130 viewsread 28 August 2026

نگاهی به رأی جدید دیوان عدالت اداری کدام «مزایای رفاهی کارگران» مشمول مالیات است؟ به گزارش خبرنگار ایلنا، صدور و انتشار رأی جدید هیأت عمومی دیوان عدالت اداری درباره معافیت مالیاتی مزایای رفاهی و انگیزشی کارگران، بار دیگر بحث‌های چالش‌برانگیز حقوقی و مالیاتی را میان جامعه کارگری، کارفرمایان و سازمان امور مالیاتی به جریان انداخته است. مشروح خبر در خبرگزاری ایلنا 👇 https://www.ilna.ir/fa/tiny/news-1829049

25 Aug 2026, 03:34 UTC≈1,000 viewsread 28 August 2026
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از کارشناس جونیور تا مدیر منابع انسانی، مسیر رشد در HR فقط با «بیشتر کار کردن» ساخته نمی‌شود؛ با مهارت، تحلیل، تصمیم‌گیری و نگاه سیستمی ساخته می‌شود. 🚀 یک کارشناس حرفه‌ای فقط اجرا نمی‌کند؛ می‌فهمد چه کاری را، چرا و با چه اثری باید انجام دهد. و یک مدیر منابع انسانی فقط فرآیندها را مدیریت نمی‌کند؛ تیم را هدایت می‌کند، بین مسائل ارتباط می‌سازد، تصمیم می‌گیرد و برای مسائل سازمان راه‌حل طراحی می‌کند. اگر می‌خواهی از اجرای…

24 Aug 2026, 03:32 UTC765 views2 reactionsread 28 August 2026
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«یه نفر رفت، سه نفر جاش اومدن!» شاید مسئله این نیست که اون آدم فوق‌العاده بود… شاید مسئله اینه که مدت‌ها به اندازه چند نفر ازش کار می‌کشیدید. اینکه یک کارمند مدت‌ها حجم غیرمنطقی کار رو تحمل کرده، دلیل نمی‌شه اون حجم کار «طبیعی» بوده باشه. گاهی استعفای یک نیروی خوب، فقط یک خروج نیست؛ یک زنگ خطره برای بازنگری در حجم کار، تعداد نیرو و انتظارات مدیریتی. شما چی فکر می‌کنید؟ تا حالا دیدید بعد از رفتن یک نفر تازه مشخص بشه و…

❤1👏1

Showing the 12 most recent of 54 posts we hold for @halle_ekhtelaf. 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

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 4 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.

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.

کمپین مبارزه با بی‌شعوری
@bishuoori · 25,814
Telegram ranks this channel #11 of 83 here — alongside 82 others — read 13 September 2026
نیکوتین
@Faded_Person · 60,042
Telegram ranks this channel #17 of 64 here — alongside 63 others — read 22 August 2026
خانه کارگر
@khanehkargar · 55,400
Telegram ranks this channel #30 of 66 here — alongside 65 others — read 23 August 2026
خانه کارگر اصفهان
@whesfahan · 26,035
Telegram ranks this channel #48 of 65 here — alongside 64 others — read 21 September 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“حل اختلاف” (@halle_ekhtelaf), 10,112 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/halle_ekhtelaf.

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.