◾️LA MER 海蓝之谜浓缩修复精华50ml ☑️专为敏感脆弱肌肤设计 通过舒缓肌肤敏感 减少肌肤泛红 还能修复肌底受损问题3天修复敏感8天祛痘淡痘印 五倍浓缩 号称治愈皮肤最好的精华 想拯救烂脸必须来上一瓶它! #海蓝之谜现货

Channel
柬埔寨🔥护肤•彩妆💄洗护•保健品……
@liuliunvzhuang
On this record: Growth · Engagement · Posts · Citations · Cite this entry
40subscribers
-5 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001587101904 |
|---|---|
| Type | Channel |
| Username | @liuliunvzhuang |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/liuliunvzhuang |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 11:55 | 40 | -5 |
| 10 Aug 2026, 15:31 | 45 | no change |
| 8 Aug 2026, 15:46 | 45 | first reading |
Engagement
5 posts held, back to 4 August 2025 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 3 April 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
🧡爱马仕大地三件套礼盒款 新版 (淡香100ml+淡香15ml+须后水40ml) 香调——像被阳光吻过的森林🌳 ➡️前调:葡萄柚+橙子爆开!酸涩清爽像捏爆一颗大橙子🍊 ➡️中调:玫瑰+天竺葵悄悄冒头!带点胡椒的微微辛辣 ➡️后调:雪松+香根草+广藿香三重木质暴击华 像踩碎🌲枯枝的干燥感混合矿石🪨的沉稳越闻越耐闻! #柬埔寨 #香水套盒现货
💓JO MALONE 祖马龙香薰藤条青柠罗勒 ❤️前调:青柠 橘子 香柠檬 🧡中调:罗勒 紫丁香 鸢尾花百里香 💛后调:广鳌香 香根草 ✅透着淡淡的婉约的味道,馥郁的香气 #香氛系列现货 #香熏藤条1
Dior迪奥甜心小姐淡香水EDT 100ml 💞💞一缕缕花香,含蓄而神秘!能把每一位女孩都想象成融合率真女孩气和轻柔女人味的甜美女孩,拥有天真而可贵的梦想!🌸她像田园午后的红茶,像踩着单车在城市广场梭行时拂过耳畔的微风,她是甜美的樱桃,彩色的花伞,幻想世界里的气球 🎈🎈 #香水金边 #女士香水现货
◾️IPSA 三色遮瑕盘 1️⃣干皮滋润 2️⃣小巧便携 ✅黑眼圈、痘痘印、雀斑都能遮得住,调节出最佳色彩,修饰色斑及肤色不均匀等明品色差的遮瑕膏。 #彩妆金边现货
Showing the 5 most recent of 5 posts we hold for @liuliunvzhuang. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 2 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨🔥护肤•彩妆💄洗护•保健品……” (@liuliunvzhuang), 40 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/liuliunvzhuang.
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.