🍓【 𝐒𝐙 · 甜美纯欲学妹 】🍓 🎀 妹妹档案 🎀 🎂 03年 170cm E罩杯 🥛 皮肤雪白 全身滑嫩 👱♀️ 极致纯欲风 清纯可爱 甜 💖 独家体验 💖 🎀 学生兼职 温柔不催 🍭 可纯可欲 满分陪伴 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #3k

Channel
🟢深圳外围【卡地亚俱乐部】
@SZDFNWW
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
80,500subscribers
+3,888 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 | -1002964913883 |
|---|---|
| Type | Channel |
| Username | @SZDFNWW |
| Description | ━━━━━━━━━━━━━━━━━━━━ 🧧 卡 地 亚 · 2 0 2 6 新 春 盛 典 🧧 ━━━━━━━━━━━━━━━━━━━━ 🏆 全球高端外围第一品牌 · 实力霸屏 ✨ [ 尊享服务 ] —— 全国顶奢资源已就绪 ✨ [ 假期特供 ] —— 预约/临时,全天候极速安排 ✨ [ 极致售后 ] —— 行业领导者,品质无可挑剔 📢 “懂你的,只有卡地亚。全国空降,即刻开启。” 👤 服务管家: @mm117bot |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 October 2026 |
| Measurements held | 42 |
| Confirmed unchanged | 1 time, most recently 17 October 2026 |
| On Telegram | t.me/SZDFNWW |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 |
|---|---|---|
| 17 Oct 2026, 17:27 | 80,500 | -1,680 |
| 16 Oct 2026, 19:31 | 82,180 | -800 |
| 15 Oct 2026, 16:37 | 82,980 | -367 |
| 14 Oct 2026, 19:58 | 83,347 | +1,626 |
| 13 Oct 2026, 08:06 | 81,721 | -388 |
| 9 Oct 2026, 06:17 | 82,109 | +17,227 |
| 4 Oct 2026, 17:41 | 64,882 | +148 |
| 26 Sept 2026, 17:35 | 64,734 | -3,009 |
| 19 Sept 2026, 15:19 | 67,743 | -2,084 |
| 17 Sept 2026, 04:18 | 69,827 | -678 |
| 15 Sept 2026, 03:19 | 70,505 | +797 |
| 13 Sept 2026, 09:40 | 69,708 | +3,259 |
| 11 Sept 2026, 10:02 | 66,449 | -246 |
| 8 Sept 2026, 15:19 | 66,695 | -6,165 |
| 5 Sept 2026, 09:00 | 72,860 | -2,068 |
| 3 Sept 2026, 16:00 | 74,928 | +3,645 |
| 2 Sept 2026, 09:43 | 71,283 | +2,916 |
| 1 Sept 2026, 10:17 | 68,367 | -574 |
| 31 Aug 2026, 06:45 | 68,941 | +3,867 |
| 30 Aug 2026, 06:02 | 65,074 | first reading |
Engagement
70 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 145 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.105%
- avg views ÷ 80,500 subscribers
- Avg views / post
- 84.4
- 27 posts measured
- Reaction rate
- 0.651%
- reactions ÷ views · ER floor
- Posts in window
- 27
- of 70 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 3 of 27 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 October 2026 |
|---|---|
| Posts held | 70 (3 August 2026 – 17 October 2026) |
| Views total | 2,278 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Oct 2026, 05:44 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
- ≈2,310
- Videos
- ≈593
- Links
- ≈1
Lifetime counters from Telegram’s own channel header, read 18 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
- 7m 17s
- Average length
- 6s
Measured directly from 70 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
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 4 of the 70 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 3 August 2026 to 17 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
🍓【 𝐒𝐙 · 可甜可盐女友系 】🍓 🎀 妹妹档案 🎀 🎂 05年 167cm D罩杯 🥛 可甜可盐 百变尤物 👱♀️ 纯美初恋脸 萝御百变小樱 💖 独家体验 💖 🎀 性格超级好 高素质好沟通 🍭 灵巧舌尖配合超高 水嫩透明度100% #深圳外围 #深圳上门 #深圳伴游 #高端外围 #3k
🍓【 𝐒𝐙 · 高挑极品御姐 】🍓 🎀 妹妹档案 🎀 🎂 04年 183cm 112斤 C罩杯 🥛 极品御姐 气场全开 👱♀️ 极品大长腿 高挑修长身形 💖 独家体验 💖 🎀 独立自信 落落大方 🍭 视觉盛宴 优雅从容 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #5k
🍓【 𝐒𝐙 · 满分情绪价值甜御 】🍓 🎀 妹妹档案 🎀 🎂 05年 169cm 98斤 D罩杯 🥛 纯欲可爱 🎐清纯甜美 👱♀️ 前凸后翘 原装身材 💖 独家体验 💖 🎀 高情商谈吐 听话粘人 🍭 邻家女朋友感觉 留学生兼职 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #5k
🍓【 𝐒𝐙 · 原生态清涩女友 】🍓 🎀 妹妹档案 🎀 🎂 07年 165cm 86斤 C罩杯 🥛 可爱娃娃脸 清涩女友💞 👱♀️ 纯天然0整 全身无纹身无疤痕 💖 独家体验 💖 🎀 活泼开朗 极具亲和力 🍭 满分初恋 干净清纯 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #5k
🍓【 𝐒𝐙 · 素颜酒窝天菜 】🍓 🎀 妹妹档案 🎀 🎂 01年 173cm F罩杯 🥛 素颜天菜 温柔解语花 👱♀️ 迷人酒窝美女 高挑纤细 💖 独家体验 💖 🎀 善解人意 极具亲和力 🍭 校园初恋类型 性格nice #深圳外围 #深圳上门 #深圳伴游 #高端外围 #5k
🍓【 𝐒𝐙 · 白虎萝莉甜心 】🍓 🎀 妹妹档案 🎀 🎂 05年 168cm E罩杯 🥛 清纯气质 纯欲精致 👱♀️ 甜美声线 前凸后翘 💖 独家体验 💖 🎀 粉嫩甜心 白嫩誘人 🍭 萝莉长相 御姐身材 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #5k
🍓【 𝐒𝐙 · 高学历甜美尤物 】🍓 🎀 妹妹档案 🎀 🎂 07年 164cm 80斤 E罩杯 🥛 笑容甜美可爱 高素质高学历 👱♀️ 声音软软糯糯 身形纤细 💖 独家体验 💖 🎀 性格温柔可人 善解人意 🍭 软萌贴心 温柔不催 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #5k
🍓【 𝐒𝐙 · 天菜清纯天花板 】🍓 🎀 妹妹档案 🎀 🎂 06年 176cm 96斤 C+罩杯 🥛 翘臀 筷子腿 全身雪白 👱♀️ 冷白皮 无纹身 可欲可纯 💖 独家体验 💖 🎀 高情商 谈吐一流 🍭 爱好 网球🎾 插花 绘画 烹饪 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #5k
🍓【 𝐒𝐙 · 富家千金风 】🍓 🎀 妹妹档案 🎀 🎂 05年 170cm 85斤 C罩杯 🥛 性格开朗 富家千金即视感 👱♀️ 名媛气质 高挑大长腿 💖 独家体验 💖 🎀 谈吐大方 高情商好沟通 🍭 可甜可御 氛围系女友 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #5k
🍓【 𝐒𝐙 · 甜美可爱风 】🍓 🎀 妹妹档案 🎀 🎂 07年 169cm C罩杯 🥛 元气可爱 白皙娇柔 👱♀️ 笑容治愈 高挑纤细 💖 独家体验 💖 🎀 听话粘人 乖巧温顺 🍭 满分甜度 温柔不催 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #3k
🍓【 𝐒𝐙 · 极品骚蜜 】🍓 🎀 妹妹档案 🎀 🎂 00年 170E 🥛 火辣御姐 气场全开 👱♀️ 极品高挑 前凸后翘 💖 独家体验 💖 🎀 独立自信 知性大方 🍭 👙丝袜情趣制服高跟👠 💌 解锁小确幸 💌 🉑 69 🉑👅 🉑🚗 🉑 口爆 #深圳外围 #深圳上门 #深圳伴游 #高端外围 #3k
Showing the 12 most recent of 70 posts we hold for @SZDFNWW. 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 17 October 2026 — this entry's latest reading, not the date you are reading this.
“🟢深圳外围【卡地亚俱乐部】” (@SZDFNWW), 80,500 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/SZDFNWW.
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.