Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 11 November 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 in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 6 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 7 of the 7 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 10 November 2026 to 10 November 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).
Of the group of 6 channels, the one whose matching posts we hold earliest is @ARAYESHI15. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 12 November 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.
Channels linked by matching posts
This channel is in a group of 6 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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 1 day, net +26. 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 20–54 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Nov 2026, 21:22
50
+26
10 Nov 2026, 13:22
24
no change
10 Nov 2026, 12:47
24
first reading
Engagement
20 posts held, back to 10 November 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
41.8%
avg views ÷ 50 subscribers
Avg views / post
20.9
20 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
20
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
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
20 (10 November 2026 – 10 November 2026)
Views total
418
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 13:22 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 20 posts held from the last 30 days (5.00%) 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).
😍ماسک بایودنس
⚡️کیفیت بسیار عالی
▪️آبرسانی عمیق
▫️جوانسازی و سفت کنندگی
▪️کوچک کننده منافذ
▫️روشن کننده و شفاف کننده
▪️مناسب پوست حساس
پک ۴عددی ۹۰۰
بیشتر از ۳پک هر پک ۸۵۰
💜✨ کرم لیفتینگ گواشا آنوا
ANUA
یه ماساژ جذاب برای پوستی سفتتر و شادابتر 😍🪻
💜 حاوی کلاژن و رتینول ✨ کمک به بهبود ظاهر خطوط ریز و چروک 🧖🏻♀️ طراحی خاص با سری گواشا برای ماساژ صورت 🌸 کمک به افزایش لطافت و بهبود ظاهر پوست
📦 حجم ۸۰ میل
3عدد5850
تکی 2250
●سرم تقویت کننده و ضدعلائم پیری شیسیدو
● حاوی عصاره کاملیا با آبرسانی و تقویت سددفاعی پوست تاثیر گذاره
● کمک به بهبود ظاهر لک؛ خطوط ریز ؛ منافذ باز پوست و شفاف کننده قوی
● کنترل کننده چربی پوست و بازسازی 28% پوست
● تسکین دهنده و فاقد پارابن
● تست شده توسط متخصصان پوست
●مناسب انواع پوست
۳عدد۶۹۰۰
۲عدد۴۸۰۰
تکی ۲۸۰۰
📞ایوب قوسی:
📱:👈09187765964
🆔 آیدی سفارش:👇
@ahvana
💈ما را به دوستان خود معرفی کنید :👇🏻
⛱ تلگرام :
…
لوسیون پاک کننده صورت کلارنس CLARINS حجم 200 میلی لیتر
برند:CLARINS
مدل:Extra-Firming
کشور سازنده:فرانسه
سطح کیفیت:کیفیت عالی
مناسب برای:انواع پوست
حجم:200 میلی لیتر
مناسب:بانوان و آقایان
سایر ویژگی ها:دارای روغن جوجوبا و ویتامین E
تاریخ انقظاء:
12 ماه بعد از باز کردن درب
قیمت6عددی6600
قیمت 3عددی3600
قیمت تکی 1550
ضد آفتاب سلیمکس
افزایش تولید کلاژن، الاستین و خاصیت ارتجاعی پوست با کمک آدنوزین
کنترل چربی پوست و کمک به کاهش ظاهر منافذ باز
جلوگیری از آفتاب سوختگی و سرطان های پوستی
کمک به کاهش ظاهر لکه های تیره و جای جوش
بدون حس چسبندگی یا رد سفیدی روی پوست
جلوگیری از خشکی و حفظ لطافت پوست
قابل استفاده به عنوان پایه آرایش
فاقد مواد مضر و حساسیت زا
مناسب برای استفاده روزانه
بافت سبک و زود جذب
قیمت 6عددی4500
قیمت ۳عددی 2300
قیمت ت…
کرم ترانگزامیک اسید 2.5 % اکسیس وای ضد لک و روشن کننده پوست AXIS-Y TXA 2.5% Intensive Brightening Cream
کمک به کاهش لکهای تیره و هایپرپیگمنتیشن با 2.5٪ ترانگزامیک اسید (TXA)
روشنکننده و افزایش شفافیت کلی پوست
کمک به یکنواخت شدن تناژ رنگی پوست
مهار تولید بیشازحد ملانین و جلوگیری از ایجاد لکهای جدید
حاوی نیاسینامید برای تقویت اثر روشنکنندگی و بهبود بافت پوست
کمک به کاهش جای جوش و تیرگیهای پس از التهاب
تقویت سد د…
کرم آبرسان و لیفتینگ اکتیو اون
Avène Hyaluron Activ Procedure
💎 حاوی رتینال ۰.۱٪ + هیالورونیک اسید
💎 کمک به کاهش و اصلاح ظاهرچینوچروکها
💎کمک به سفتی و لیفت پوست و بهبود ظاهر خطوط صورت
💧آبرسانی عمیق و کمک به حفظ رطوبت پوست
💧کمک به افزایش شفافیت، شادابی و درخشندگی پوست
💧کمک به صافتر و یکدستتر دیده شدن بافت پوست
💧مناسب برای روتین مراقبت از پوست با تمرکز بر ضدچروک و جوانساز
حجم: ۳۰ میلیلیتر
🌙 روش مصرف: شبها روی پ…
📌کرم دور چشم جوانکننده شیسیدو
✅کرم دور چشم شیسیدو بنفیانس یکی از بهترین محصولات ضدپیری و جوانکننده برای پوست حساس اطراف چشم است که با ترکیبات پیشرفته و فرمولاسیونی منحصر به فرد، به طور مؤثری مشکلات پوست این ناحیه را کاهش میدهد. در ادامه به بررسی ویژگیهای برجسته ست کرم دور چشم شیسیدو بنفیانس میپردازیم
🌟رطوبترسانی عمیق و ماندگار
🌟کاهش مؤثر چینوچروکها
🌟رفع پف و تیرگی دور چشم
🌟تاثیرگذاری سریع
قیمت 6عددی9900…
●سرم تقویت کننده و ضدعلائم پیری شیسیدو
● حاوی عصاره کاملیا با آبرسانی و تقویت سددفاعی پوست تاثیر گذاره
● کمک به بهبود ظاهر لک؛ خطوط ریز ؛ منافذ باز پوست و شفاف کننده قوی
● کنترل کننده چربی پوست و بازسازی 28% پوست
● تسکین دهنده و فاقد پارابن
● تست شده توسط متخصصان پوست
●مناسب انواع پوست
هر پک ۲عدی ۴۷۰۰
۱عدد ۲۵۰۰
● کرم کپسولی ضد لک و سفید کننده دکتر ملکسین
● حاوی ترانگزامیک اسید( ضد لک ) نیاسینامید ،گلوتاتیون برای کاهش لک و جای جوش هست
● یکدست کننده تناژ رنگ پوست و کاهش دهنده ملانین ( همان رنگدانه های قهوه ای)
● روشن و شفاف کننده قوی با خاصیت آبرسانی و تقویت کننده سد دفاعی پوست
● مناسب انواع پوست ( ضدافتاب بیرنگ بعد از این کرم فراموش نشه)
۳عدد۳۳۰۰
تکی ۱۳۵۰
●کرم مرطوب کننده صورت و چشم پدرن آرنسیا
●کمپلکس دوگانه ترمیم کننده و جوانساز قوی
●پیتید برای افزایش استحکام آبرسانی عمیق و ماندگار
● دارای بافت سبک با جذب سریع بدون چسبندگی
● کمک به کاهش ظاهر قرمزی و خستگی
● مناسب پوست های : خسته؛ دهیدراته( کم آب) و حساس و حتی دور چشم هم قابل استفاده هست
● ترمیم و تقویت کننده فوق العاده پوست
● در کنار کمپلکس پیتید ، نیاسینامید و چندین هیالورونیک اسید و پانتنول داره که پوست عمیقا آب…
Showing the 12 most recent of 20 posts we hold for @malakeskin. 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.
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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“مراقبت پوستی ملکه بانه” (@malakeskin), 50 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/malakeskin.
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.
