Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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 2 other registered channels. This entry also sits inside a group of 10 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 (4 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. 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 50 comparable posts for this entry, running 4 August 2026 to 13 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 10 channels, the one whose matching posts we hold earliest is @alteogenIR. 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_mutual, last confirmed 14 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 10 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.
27 measurements spanning 97 days, net -113. 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 7,707–7,886 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
13 Nov 2026, 01:51
7,728
-10
8 Nov 2026, 17:08
7,738
-13
5 Nov 2026, 07:16
7,751
-10
1 Nov 2026, 21:06
7,761
-5
30 Oct 2026, 05:11
7,766
-13
26 Oct 2026, 19:57
7,779
-1
24 Oct 2026, 02:39
7,780
-9
20 Oct 2026, 22:56
7,789
-1
18 Oct 2026, 05:09
7,790
-6
15 Oct 2026, 01:30
7,796
-4
11 Oct 2026, 12:00
7,800
-14
5 Oct 2026, 02:17
7,814
-7
26 Sept 2026, 11:21
7,821
-22
17 Sept 2026, 01:39
7,843
-8
12 Sept 2026, 18:20
7,851
-6
8 Sept 2026, 19:39
7,857
-7
3 Sept 2026, 14:39
7,864
+6
31 Aug 2026, 02:03
7,858
-7
27 Aug 2026, 22:34
7,865
+19
24 Aug 2026, 18:45
7,846
first reading
Engagement
92 posts held, back to 3 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 41 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.4%
avg views ÷ 7,728 subscribers
Avg views / post
1,420
58 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
58
of 92 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 13 November 2026
Posts held
92 (3 August 2026 – 13 November 2026)
Views total
82,473
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 15:28 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
≈4,730
Videos
≈163
Links
≈5,070
Lifetime counters from Telegram’s own channel header, read 14 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
34s
Average length
34s
Measured directly from 1 video 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: 3 of 58 posts held from the last 30 days (5.17%) 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).
📮[메리츠 화장품/생활소비재 박신애]
[2027 Outlook 19] 화장품
우려에 가려진 기회
▶수출: 성장 지속
- 한국 화장품 수출은 2026년 +33%에 이어 2027년에도 +17% 성장 전망
- 높은 기저에도 수출 호조 지속 예상미국과 유럽이 수출 증가를 주도하며, 2028년에는 전체 수출에서 차지하는 비중이 각각 21%, 24%에 달할 전망
- 2028년부터 중남미향 수출이 가속화되며 미국과 유럽에 이은 차세대 성장 시장으로 부상 기대
▶에이피알: 글로벌 점유율 확대
- 메디큐브의 미국 스킨케어 시장점유율은 2025년 1%대에서 2027년 3.4%로 상승하며 시장 내 3~4위 진입 예상
- 유럽 시장점유율은 2027년 2%에 근접하며 Top 10 진입 전망. 미국 대비 낮은 침투율을 감안하면 성장 여력은 더욱 큰 상황…
한국 법인 매출 QoQ 약 20% 증가, 그 외에도 전 법인이 좋았습니다.
현재 한국 가동률 80%후반으로, 캐파 증설을 최대한 빠르게 앞당기려고 하는 움직임 인 듯합니다.
고객사도 인디 뿐만 아니라 MNC 스킨케어도 증가 중으로 일감이 몰아치네요 🌟
-상위 고객사는 상반기 대비 하반기 성장 가속화
-4분기 수주흐름도 매우 좋음
-27년에도 K-뷰티 기세 꺾이지 않을 듯
-CAPA가 증설이 가장 중요한 과제
⚡️코스맥스 3Q26P Re
매출액 8,758억원 (YoY 50%)
영업익 833억원 (YoY 95%)
순이익 426억원 (YoY 375%)
컨센 대비
매출액 6.4%
영업익 6.6%
한국
매출액 6,161억원 (YoY 61%, QoQ 19%)
영업익 677억원 (YoY 97%, QoQ 20%)
OPM 11.0% (YoY 2.…
국내 마운자로 2.5㎎ 가격은 닥터나우 기준 약 28만~35만원이다. 반면 일본 도쿄실크클리닉에서는 같은 용량 4개를 처방 조건에 따라 약 6만3000~7만2000원에 판매하고 있다.
국내 3개월이면 약 105만원이고
일본 3개월이면 21만원이고
그 차액은 약 74만원이니
비행기값이랑 뽕뽑네영
Showing the 12 most recent of 92 posts we hold for @ejpark3312. 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
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
Names
Channels on the register whose handles appear in this channel's posts.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“#Beautylog” (@ejpark3312), 7,728 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/ejpark3312.
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.