🍓【 𝐊𝐋 · 纯欲小清甜 】🍓 🎀 妹妹档案 🎀 🎂 05年 166C+ 90斤 🥛 吉隆坡留学生 纯欲可爱 清甜迷人 👱♀️ 初恋女友视感 白皙水嫩 身材匀称 💖 独家体验 💖 🎀 清纯活泼 温柔体贴 🍭 纯欲小女友💋情绪价值拉满 #吉隆坡外围 #吉隆坡高端 #吉隆坡上门 #吉隆坡伴游 #马来西亚外围

Channel
巴黎|伦敦|多伦多|纽约|洛杉矶外围|模特留学生上门
@KFGZLD
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
33,789subscribers
+25,314 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003777051665 |
|---|---|
| Type | Channel |
| Username | @KFGZLD |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 24 September 2026 |
| On Telegram | t.me/KFGZLD |
Topic
Adult — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Sept 2026, 20:01 | 33,789 | +3,856 |
| 18 Sept 2026, 17:00 | 29,933 | +1,741 |
| 16 Sept 2026, 09:38 | 28,192 | +818 |
| 14 Sept 2026, 18:15 | 27,374 | +304 |
| 13 Sept 2026, 04:21 | 27,070 | +848 |
| 11 Sept 2026, 08:56 | 26,222 | +4,770 |
| 8 Sept 2026, 10:59 | 21,452 | +1,132 |
| 5 Sept 2026, 04:20 | 20,320 | +786 |
| 3 Sept 2026, 11:59 | 19,534 | +623 |
| 2 Sept 2026, 05:15 | 18,911 | +524 |
| 1 Sept 2026, 03:28 | 18,387 | +867 |
| 30 Aug 2026, 23:38 | 17,520 | +631 |
| 30 Aug 2026, 01:24 | 16,889 | -213 |
| 29 Aug 2026, 00:35 | 17,102 | +323 |
| 28 Aug 2026, 01:17 | 16,779 | +901 |
| 27 Aug 2026, 04:45 | 15,878 | -136 |
| 26 Aug 2026, 05:53 | 16,014 | +693 |
| 25 Aug 2026, 05:04 | 15,321 | +792 |
| 24 Aug 2026, 04:17 | 14,529 | +1,628 |
| 22 Aug 2026, 13:59 | 12,901 | first reading |
Engagement
44 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 64 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.01%
- avg views ÷ 33,789 subscribers
- Avg views / post
- 343
- 17 posts measured
- Reaction rate
- 2.65%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 44 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. It is computed over the 5 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 October 2026 |
|---|---|
| Posts held | 44 (3 August 2026 – 1 October 2026) |
| Views total | 5,826 |
| Reactions total | 67 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Oct 2026, 19:39 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
- ≈1,200
- Videos
- ≈186
- Links
- ≈1
Lifetime counters from Telegram’s own channel header, read 1 October 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
- 3m 44s
- Average length
- 10s
Measured directly from 23 videos 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.
Reaction mix
68 reactions across 6 posts, in 9 distinct kinds. The most used accounts for 30.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 21 | 30.9% | |
| ❤ | 17 | 25.0% | |
| 👏 | 8 | 11.8% | |
| 🔥 | 8 | 11.8% | |
| 🤔 | 6 | 8.82% | |
| 🎉 | 3 | 4.41% | |
| 😢 | 3 | 4.41% | |
| 👎 | 1 | 1.47% | |
| 😍 | 1 | 1.47% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 8 of the 44 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 68 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 3 August 2026 to 1 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Posted without readable text
🍓【 𝐒𝐄𝐎𝐔𝐋 · 绝美纯欲风 】🍓 🎀 妹妹档案 🎀 🎂 03年 168D 97斤 🥛 首尔留学生 气质纯欲 👱♀️ 韩系欧尼 白皙高挑 💖 独家体验 💖 🎀 爱好运动健身 瑜伽 🍭 素质高 热情 态度好 #首尔外围 #首尔高端 #首尔上门 #首尔伴游 #韩国外围 #首尔
🍓【 𝐌𝐄𝐋 · 唯美清纯感 】🍓 🎀 妹妹档案 🎀 🎂 04年 170D 98斤 🥛 墨尔本海外 干净清纯 肤白高挑 👱♀️ 甜美邻家 身材傲人 💖 独家体验 💖 🎀 乖巧听话 温柔细腻 🍭 异国相伴 温柔不催 #墨尔本外围 #墨尔本高端 #墨尔本上门 #墨尔本伴游 #澳洲外围 #澳大利亚
🍓【 𝐒𝐘𝐃 · 极品气质御姐 】🍓 🎀 妹妹档案 🎀 🎂 00后 170E 气质御姐 🥛 悉尼留学生 真实傲人E杯 👱♀️ 高级御姐范 黄金大S曲线 💖 独家体验 💖 🎀 气场全开 顶级视觉反差 🍭 尤物级魔鬼身段 服务好 #悉尼外围 #悉尼高端 #悉尼上门 #悉尼伴游 #澳大利亚外围 #悉尼
🍓【 𝐓𝐘𝐎 · 高挑天然超模 】🍓 🎀 妹妹档案 🎀 🎂 04年 172cm 92斤 🥛 东京🇯🇵 纸片人身材 极度骨感纤细 👱♀️ 纯天然无整 盛世美颜 逆天无敌长腿 💖 独家体验 💖 🎀 日留本科在读 乖巧听话 🍭 满分配合 贴心温柔不催 #东京外围 #东京高端 #东京上门 #东京伴游 #日本 #东京
🍓【 𝐘𝐕𝐑 · 海外真胸尤物 】🍓 🎀 妹妹档案 🎀 🎂 04年 168D 96斤 🥛 温哥华留学生 马甲线 小翘臀 👱♀️ 超绝腰臀比 肤白貌美 💖 独家体验 💖 🎀 皮肤雪白 女友感觉 🍭 前凸后翘 谈吐不凡 #温哥华外围 #温哥华高端 #加拿大外围 #温哥华上门 #加拿大上门
🍓【 𝐓𝐎𝐑 · 05后海外真胸E杯 】🍓 🎀 妹妹档案 🎀 🎂 05年 170E 90斤 🥛 极品金融留学生 纸片人身材 👱♀️ 皮肤白嫩无纹身 完美S型身材 💖 独家体验 💖 🎀 高素质高情商高学历 听话 🍭 前凸后翘 贴心温柔 #多伦多外围 #多伦多高端 #多伦多留学生 #加拿大外围 #多伦多上门
🍓【 𝐋𝐎𝐍 · 顶级初恋真胸E 】🍓 🎀 妹妹档案 🎀 🎂 06年 172E 🥛 清纯甜美 无任何风尘味 👱♀️ 画身材 筷子腿纤细小蛮腰 💖 独家体验 💖 🎀 会滑雪 会高尔夫 多才多艺 🍭 性格乖巧 女友系 伦敦留学生 #伦敦外围 #伦敦高端 #伦敦上门 #伦敦伴游 #留学生兼职
🍓【 𝐋𝐀 · 傲人冷白皮尤物 】🍓 🎀 妹妹档案 🎀 🎂 03年 170E 冷白皮 🥛 洛杉矶 极品s身材 甜美气质 👱♀️ 极品傲人E杯 黄金比例 💖 独家体验 💖 🎀 随和好相处 美国留学生 🍭 可纯可欲 温柔不催 #洛杉矶外围 #洛杉矶高端 #洛杉矶兼职 #美国外围 #北美外围
🍓【 𝐋𝐀 · 演艺系留学生 】🍓 🎀 妹妹档案 🎀 🎂 04年 172cm 94斤 🥛 洛杉矶 可纯可欲 👱♀️ 逆天大长腿 肤白貌美 💖 独家体验 💖 🎀 平面模特 唱跳俱佳 🍭 反差感爵士红酒嗓 无纹身 #洛杉矶外围 #洛杉矶高端 #洛杉矶兼职 #美国外围 #北美外围
❤2🎉2👍2🤔2👎1👏1
🍓【 𝐋𝐀 · 气质精致尤物 】🍓 🎀 妹妹档案 🎀 🎂 00后 170E 107斤 🥛 气质高雅 丰满迷人 👱♀️ 精致五官 前凸后翘 💖 独家体验 💖 🎀 谈吐不凡 高级感满满 🍭 反差感拉满 贴心温柔不催 #洛杉矶外围 #洛杉矶高端 #洛杉矶兼职 #美国外围 #北美外围
❤4🔥3👍2👏2🎉1😍1
Showing the 12 most recent of 44 posts we hold for @KFGZLD. 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.
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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“巴黎|伦敦|多伦多|纽约|洛杉矶外围|模特留学生上门” (@KFGZLD), 33,789 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/KFGZLD.
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.