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Channel

#Beautylog

@ejpark3312

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

7,728subscribers

-113 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001257359341
TypeChannel
Username@ejpark3312
Description뷰티 브랜드 제품 이야기
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/ejpark3312

Topic

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)
Posted firstThenOverlapGap
@pharmbiohana/1174228 Oct 2026, 02:01 UTC@ejpark3312/13906 · this entry28 Oct 2026, 02:02 UTC1.00under a minute
@pharmbiohana/118699 Nov 2026, 06:57 UTC@ejpark3312/13928 · this entry9 Nov 2026, 12:03 UTC1.005.1 hours
@pharmbiohana/1191011 Nov 2026, 01:30 UTC@ejpark3312/13933 · this entry11 Nov 2026, 05:13 UTC1.003.7 hours
@ejpark3312/13934 · this entry11 Nov 2026, 05:59 UTC@alexppark/511911 Nov 2026, 05:59 UTC1.00under a minute
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
ChannelMatching postsText overlapTypical gapPublished first
@pharmbiohana8 (8/8 hand-verifiable sample passed)1.0013 minutes@pharmbiohana (5–3)
@alexppark6 (6/6 hand-verifiable sample passed)1.0010 minutes@alexppark (5–1)

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.

Growth

7,7287,8657,796.57 August 2026 — 7,841 subscribers7 August 2026 — 7,841 subscribers8 August 2026 — 7,840 subscribers11 August 2026 — 7,849 subscribers15 August 2026 — 7,851 subscribers18 August 2026 — 7,849 subscribers21 August 2026 — 7,847 subscribers24 August 2026 — 7,846 subscribers27 August 2026 — 7,865 subscribers31 August 2026 — 7,858 subscribers3 September 2026 — 7,864 subscribers8 September 2026 — 7,857 subscribers12 September 2026 — 7,851 subscribers17 September 2026 — 7,843 subscribers26 September 2026 — 7,821 subscribers5 October 2026 — 7,814 subscribers11 October 2026 — 7,800 subscribers15 October 2026 — 7,796 subscribers18 October 2026 — 7,790 subscribers20 October 2026 — 7,789 subscribers24 October 2026 — 7,780 subscribers26 October 2026 — 7,779 subscribers30 October 2026 — 7,766 subscribers1 November 2026 — 7,761 subscribers5 November 2026 — 7,751 subscribers8 November 2026 — 7,738 subscribers13 November 2026 — 7,728 subscribers7 August 202613 November 2026
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)SubscribersChange
13 Nov 2026, 01:517,728-10
8 Nov 2026, 17:087,738-13
5 Nov 2026, 07:167,751-10
1 Nov 2026, 21:067,761-5
30 Oct 2026, 05:117,766-13
26 Oct 2026, 19:577,779-1
24 Oct 2026, 02:397,780-9
20 Oct 2026, 22:567,789-1
18 Oct 2026, 05:097,790-6
15 Oct 2026, 01:307,796-4
11 Oct 2026, 12:007,800-14
5 Oct 2026, 02:177,814-7
26 Sept 2026, 11:217,821-22
17 Sept 2026, 01:397,843-8
12 Sept 2026, 18:207,851-6
8 Sept 2026, 19:397,857-7
3 Sept 2026, 14:397,864+6
31 Aug 2026, 02:037,858-7
27 Aug 2026, 22:347,865+19
24 Aug 2026, 18:457,846first 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
WindowRolling 30 days · latest post in window 13 November 2026
Posts held92 (3 August 2026 – 13 November 2026)
Views total82,473
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 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).

13 Nov 2026, 08:55 UTC707 viewsread 14 November 2026
Forwarded from @meritz_research

📮[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…

12 Nov 2026, 22:26 UTC≈1,140 viewsread 14 November 2026

한국콜마가 화장품 용기 자회사 연우의 실적 개선을 견인한 박상용 부사장에게 해외법인 총괄 역할을 맡겼다. https://m.businesspost.co.kr/BP?num=451783&command=mobile_view

12 Nov 2026, 11:45 UTC≈2,900 viewsread 14 November 2026

https://news.einfomax.co.kr/news/articleView.html?idxno=4444469

12 Nov 2026, 05:54 UTC≈1,090 viewsread 14 November 2026
Forwarded from @kyobofnbcosmetic

에효 ㅜㅜ 화장품 주가 변동성 어렵네요 달바는 비우호적 환율에도 예상대비 수익성 견조했으며, 대부분 물류비(해상운송 확대) 마케팅비 효율화 영향입니다. 참고로 기존 3분기 opm 가이던스는 17%였으며, 금번 21.5%으로 매우 양호한 수준입니다. ⚡️달바글로벌 3Q26P Re 매출액 1,556억원 (YoY 36.3%) 영업익 334억원 (YoY 100.7%) 순이익 148억원 (YoY 5.5%) 컨센 대비 매출액 -8.9% 영업익 2.6% 2분기 말 기준 환율로 보정시, 조정 매출액 1,705억원 조정 영업이익 360억원 *매출) 국내 YoY -4%, 해외 YoY +59% > 해외에서는 유럽/중화권/아세안 호조 * 매출원가율 23.8% YoY -1.1% >비우호적 환율, 원가율 높은 B2B 확대(2Q 35% → 3Q 39%)에도…

12 Nov 2026, 01:33 UTC719 viewsread 14 November 2026
Forwarded from @darthacking

2026.11.12 10:18:10 기업명: 달바글로벌(시가총액: 1조 7,929억) A483650 보고서명: 연결재무제표기준영업(잠정)실적(공정공시) 매출액 : 1,556억(예상치 : 1,716억/ -9%) 영업익 : 334억(예상치 : 327억/ +2%) 순이익 : 148억(예상치 : 259억/ -43%) **최근 실적 추이** 2026.3Q 1,556억/ 334억/ 148억 2026.2Q 1,869억/ 472억/ 381억 2026.1Q 1,712억/ 451억/ 363억 2025.4Q 1,634억/ 255억/ 205억 2025.3Q 1,142억/ 167억/ 140억 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20261112800251 종목공시 : https://www.awakeplus.…

11 Nov 2026, 09:53 UTC942 viewsread 14 November 2026
Forwarded from @kyobofnbcosmetic

⚡️실리콘투 3Q26P Re 매출액 4,244억원 (YoY 41.7%) 영업익 696억원 (YoY 10.4%) 순이익 88억원 (YoY -84.9%) 컨센 대비 매출액 -0.3% 영업익 -14.9% *비용 GPM 28.7% (YoY -2.9%p, QoQ -3.3%p) >QoQ: 달러·유로 비중이 높아 원화 강세 영향 큼. 판가 조정, 거래조건 재협상 지속 판관비율 12.3% (YoY +1.8%p, QoQ +0.9%p) >해외사업·신규사업 인력을 선제적으로 확보하면서 인건비 증가 OPM 16.4% (YoY -4.7%p, QoQ -4.2%p) >QoQ 하락폭 4.2%p 중 3.3%p가 GPM 하락 영향 1. 급여 119억원 (YoY +71%, QoQ +27%) 모이다 오프라인 인력과 일본·중남미 신규 시장, 라이브커머스·콘텐츠마케팅 인…

11 Nov 2026, 09:29 UTC898 viewsread 14 November 2026
Forwarded from @kyobofnbcosmetic

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.…

11 Nov 2026, 08:16 UTC942 viewsread 14 November 2026
Forwarded from @hogniel

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

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

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.