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 62% 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 (4 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 14 comparable posts for this entry, running 1 August 2026 to 6 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 @natije_jazb_raha — 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.
3 measurements spanning 3 days, net +1. 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 1,375–1,376 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 05:31
1,376
+1
7 Aug 2026, 04:20
1,375
no change
7 Aug 2026, 01:46
1,375
first reading
Engagement
15 posts held, back to 1 August 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
18.9%
avg views ÷ 1,376 subscribers
Avg views / post
261
15 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
15
of 15 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 6 August 2026
Posts held
15 (1 August 2026 – 6 August 2026)
Views total
3,911
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 01:46 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.
تحقق و رضایت دخترای قشنگم از سوال از کائنات شخصی با موضوع کات و اختصاصی که انقدر راضی بودن اعضای خانوادشون رو همبه ما معرفی کردن🤗❤️
لیست سوال از کائنات:
https://t.me/natije_jazb_raha/1178
✨🌿اثرات کل کارها دائمی
✨🌿بدون موکل،طلسم و سنگینی
✨🌿انرژی و پاکسازی برای هر نیتی انجام میشه بجز کارهای سیاه
پی وی:
@rha_wkf
چنل نتایج:
@natije_jazb_raha
لیست سوال از کائنات شخصی:
✨اتفاقات سه ماه آینده 199t
✨اتفاقات شش ماه آینده 219t
✨اتفاقات یک سال آینده 360t
✨کلی(شامل همه وارد کاری،احساسی و.. )کامل 360t
✨آینده یک موضوع 100t
✨ازدواج 100t
✨حس شخص 100t
✨تک نیت 10t
✨تک نیت با وعده 15t
✨تک نیت با توضیح کوتاه 45t
✨تحصیلی 100t
✨کاری 100t
✨کراش 100t
✨کات 100t
✨احساسی 100t
✨حس و حال شخص در حال حاضر 100t
✨مشخص کردن قسمت های امتحانیِ کتاب،هرکتاب از 40t تا 300t بستگی به حجم کتا…
کار اختصاصی سوال از کائنات که طراح این تکنیک خودم هستم.
برای رسیدن به جواب سوالاتتون (بجز فضولی و دخالت در زندگی دیگران) میتونید از اینکار استفاده کنید و خیالتون هم راحت باشه که بدون موکل، فال و سنگینی هستش 😊✅🤌🏻
بالای ۴۰۰ تحقق در چنل نتایج موجوده که میتونید ببینید و با خیال راحت سفارش بدید.
✨جهت سفارش به آیدیِ زیر پیام بدید:
@rha_wkf
💛به چنل نتایج سر بزنید و با خیال راحت سفارش بدید:
@natije_jazb_raha
نتیجه و رضایت مشتری عزیزم از کد کیهانی شخصی ساز به نیت دریافت پیام و برگشت شخص مورد نظر در کوتاه ترین زمان ممکن 🤓🤗❤️
توضیحات کد کیهانی شخصی ساز:
https://t.me/natije_jazb_raha/3330
✨🌿خداروشکر
✨🌿اثرات کل کارها دائمی
✨🌿بدون موکل،طلسم و سنگینی
✨🌿انرژی و پاکسازی برای هر نیتی انجام میشه بجز کارهای سیاه
پی وی:
@rha_wkf
چنل نتایج با بیش از ۲ هزار تا نتیجه:
@natije_jazb_raha
سلام دوستان امیدوارم که عالی باشید✨🌱
لیستمون آپدیت شده و یه کار فوق العاده قوی رو اضافه کردیم.
این کار ترکیب انرژی و پاکسازی با طراحی رها هستش.
خوبیِ این روش اینه در کنار پاکسازی موانع خواسته شما، سنگینی رو هم رفع میکنه.
و شما رو با خواستتون هم فرکانس میکنه و با خواستتون یک مدار قرار خواهید گرفت.
📌(دیگه نیازی نیست جدا جدا پاکسازی و انرژی بگیرید هر چیزی که برای رسیدن شما به خواستتون لازمه توی این روش هست)
✨💛لیست ener…
دوستان عزیز Energy dreams تکنیک اختصاصی و خفن از لیست خودم هستش که در کوتاه ترین زمان شخص مورد نظرتون رو به سمت خودتون جذب میکنه.
(برای تمامی روابط کات، کراش، احساسی و سرد شده)
و هرچه سریعتر خودش باهاتون تماس میگیره و پیام میده😎🤌🏻❤️
و آیا میدونستید کل کار های لیست من بدون هیچگونه دعا، طلسم، موکل و سنگینی هست چون خودم مخالفم؟
با عشق الهی و انرژی انجام میشه.
علاوه بر جذب خواستتون
پاکسازی موانع خواستتون رو هم انجام م…
تحقق و رضایت مشتری عزیزم از سوال از کائنات های شخصی به نیت اختصاصی و بررسی آینده نیت + بررسی کامل حس شخص 🤗❤️
لیست سوال از کائنات:
https://t.me/natije_jazb_raha/1178
✨🌿اثرات کل کارها دائمی
✨🌿بدون موکل،طلسم و سنگینی
✨🌿انرژی و پاکسازی برای هر نیتی انجام میشه بجز کارهای سیاه
پی وی:
@rha_wkf
چنل نتایج:
@natije_jazb_raha
پک های تخفیف به در خواست شما
✅نکات این پک ها:
بدون طلسم، دعا و سنگینی هستن با انرژی انجام میشن
تا چند ساعت بعد از ثبت سفارش کارتون انجام میشه
🩷پک ازدواج:
جذب شخص ایده آلتون چه فرد خاص مد نظرتون باشه چه نباشه + خوشبختی و حال خوب در رابطتون + عشق و علاقه
قیمت اصلی پک 210t با تخفیف 169t
🩷پک احساسی( برای کسایی که تو رابطه هستن)
بهبود و گرمی رابطه+ پایداری رابطه + تعهد در رابطه + افزایش عشق و محبت
قیمت اصلی پک 210t با…
نتیجه و رضایت دختر خفنم از دوره شخصی ساز آنلاین طی جلسات اول به این خفنی نتیجه گرفتن و باورشون نمیشه اینهمه تغییرات داشتن🤗❤️💕
🫐 توضیحات دوره جذب خواسته ها با دوره خصوصیِ آنلاین:
https://t.me/natije_jazb_raha/655
جهت ثبت سفارش و شرکت در دوره:
@rha_wkf
چنل نتایج:
@natije_jazb_raha
پک های تخفیف به در خواست شما
✅نکات این پک ها:
بدون طلسم، دعا و سنگینی هستن با انرژی انجام میشن
تا چند ساعت بعد از ثبت سفارش کارتون انجام میشه
🩷پک ازدواج:
جذب شخص ایده آلتون چه فرد خاص مد نظرتون باشه چه نباشه + خوشبختی و حال خوب در رابطتون + عشق و علاقه
قیمت اصلی پک 210t با تخفیف 169t
🩷پک احساسی( برای کسایی که تو رابطه هستن)
بهبود و گرمی رابطه+ پایداری رابطه + تعهد در رابطه + افزایش عشق و محبت
قیمت اصلی پک 210t با…
نتیجه و رضایت مشتریای قشنگم از Energy dreams و تسلا به نیت گرمی رابطه و قبولی در آزمون که در عرض دو روز نتایج عالی دریافت کردن🤓❤️
قیمت هر جلسه انرژی 65t
قیمت هر جلسه تسلا 35t
قیمت هر جلسه شمع تراپی معمولی 45t
قیمت هر جلسه شمع تراپی فلفلی 60t
نتایج قشنگمون و میتونید توی چنل نتایج ببینید 🦋💙
✨🌿خداروشکر
✨🌿اثرات کل کارها دائمی
✨🌿بدون موکل،طلسم و سنگینی
✨🌿انرژی و پاکسازی برای هر نیتی انجام میشه بجز کارهای سیاه
پی وی:
@r…
Showing the 12 most recent of 15 posts we hold for @natije_jazb_raha. 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 — 160,200 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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“𝒏𝒂𝒕𝒊𝒋𝒆 𝒋𝒂𝒛𝒃 𝒓𝒂𝒉𝒂💚🌱” (@natije_jazb_raha), 1,376 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/natije_jazb_raha.
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.