定金一般不超过100 工兵的没有正式上榜 约课更请小心,不要来都来了 现在科技发达,遇到人照不一致或者换人的情况千万别约来都来了 只看最近一个月内的 尽量再群内先问再约,参考其他群友意见

Channel
深圳桃花榜单
@szpeachlist3
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,510subscribers
+8,180 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001327044897 |
|---|---|
| Type | Channel |
| Username | @szpeachlist3 |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/szpeachlist3 |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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 |
|---|---|---|
| 19 Sept 2026, 08:17 | 17,510 | +8 |
| 16 Sept 2026, 21:01 | 17,502 | +9,774 |
| 13 Sept 2026, 08:56 | 7,728 | -436 |
| 9 Sept 2026, 13:58 | 8,164 | -49 |
| 3 Sept 2026, 19:35 | 8,213 | -113 |
| 31 Aug 2026, 11:03 | 8,326 | -225 |
| 28 Aug 2026, 01:24 | 8,551 | -46 |
| 25 Aug 2026, 02:07 | 8,597 | -199 |
| 21 Aug 2026, 13:35 | 8,796 | -5 |
| 18 Aug 2026, 21:03 | 8,801 | -157 |
| 15 Aug 2026, 19:34 | 8,958 | -196 |
| 12 Aug 2026, 19:24 | 9,154 | -25 |
| 9 Aug 2026, 16:22 | 9,179 | -161 |
| 7 Aug 2026, 02:17 | 9,340 | +10 |
| 6 Aug 2026, 20:03 | 9,330 | first reading |
Engagement
86 posts held, back to 6 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 31 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.18%
- avg views ÷ 17,510 subscribers
- Avg views / post
- 206
- 17 posts measured
- Reaction rate
- 0.392%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 86 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 1 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 86 (6 August 2026 – 28 August 2026) |
| Views total | 3,498 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 16:58 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
- Video runtime
- 6m 06s
- Average length
- 10s
Measured directly from 36 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
11 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 54.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤮 | 6 | 54.5% | |
| ❤ | 5 | 45.5% |
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 14 of the 86 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 86 most recent posts we hold, published 6 August 2026 to 28 August 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
📊 2条车评,综合评分 免费提供制服👗蕾丝👙黑白袜👠 半裸和全裸两种全面且深度的体验(胸手足出) 日式舒缓(🛁大浴缸泡浴)➕玉足戏水 高能日本特色AV椅互动助浴 梦境级前列腺高潮体验、穿插轻度sm体验😌 独创二代抓龙筋手法、冰火石三角区经络疏通、丝袜捆绑脱敏、三起三落龟责脱敏训练、AV级寸止榨精,引导了解和运用自己的副交感神经系统,助您坚挺、延时😉 💼为您量身定制专属的放松仪式。我们的理疗,不止于“放松”,更追求一种极致的“颤栗”与“共鸣”💯 “融合东南亚古法按摩与瑞典深层肌理放松” “采用定制调香精油” 🦋「秘境探幽」全身精油SPA🔞 🦋「暗香浮动」深度放松护理(时间内不限次数) 🦋「灵欲交融」双人四手共舞(加500) —— 这里不设边界,只为您提供极致的沉浸💞 ⚡️贵族尊享:799/70分钟 ⚡️皇室经典:999/90分钟 🧸营业时间:中午12点到凌晨⭐️ 上课预约地址:南山、福田kkone 详情咨询TG☎️:@E…
📊 0条车评,综合评分 老师昵称: #蕊蕊 地区: #龙华 价格: 900p 1600pp 简介: 22岁 160b 49kg 联系: @R_R753 频道: https://t.me/R_R976 分类: #舌吻 #六九 #可外出 #短发 提交报告 私聊约课
📊 0条车评,综合评分 老师昵称: #小鱼 地区: #南山 价格: 1398p 2498pp 简介: 19岁 170c 45kg 联系: @xiaoyu_9909 频道: https://t.me/xiaoyu_9907 分类: #kiss #六九 #长腿 #高老师 #嫩妹 提交报告 私聊约课
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_302012287
定金一般不超过100 工兵的没有正式上榜 约课更请小心,不要来都来了 现在科技发达,遇到人照不一致或者换人的情况千万别约来都来了 只看最近一个月内的 尽量再群内先问再约,参考其他群友意见
📊 0条车评,综合评分 老师昵称: #依依 地区: #福田 价格: 1888p 3588pp 简介: 05年 168D 45kg 联系: @futianyiyi11 频道: https://t.me/futianyiyi2026 分类: #舌吻 #六九 #长腿 #大胸 #可外出 提交报告 私聊约课
❤1
📊 9条车评,综合评分9.75 老师昵称: #允儿 地区: #南山 价格: 1100P 2000PP 简介: 03年 165c 42kg 联系: @yuner0329 频道: https://t.me/Yiz127 分类: #kiss #长腿 #纹身 #可外出 #舌吻 提交报告 过去评价
定金一般不超过100 工兵的没有正式上榜 约课更请小心,不要来都来了 现在科技发达,遇到人照不一致或者换人的情况千万别约来都来了 只看最近一个月内的 尽量再群内先问再约,参考其他群友意见
📊 0条车评,综合评分 老师昵称: #珊珊 地区: #南山 价格: 800p 600/课 口爆 五十分钟 简介: 25岁 160E 联系: @shanshankb12 频道: https://t.me/shanshan12398 分类: #六九 #毒龙 #大胸 #环保 #口爆 提交报告 私聊约课
📊 0条车评,综合评分 老师昵称: #彤彤 地区: #南山 价格: 1288P 2188PP 5188夜 简介: 20岁 168b 49kg 联系: @mnjjjvv 频道: https://t.me/+UQ5BmzcBSqYzOWM9 分类: #舌吻 #六九 #嫩妹 提交报告 过去评价
定金一般不超过100 工兵的没有正式上榜 约课更请小心,不要来都来了 现在科技发达,遇到人照不一致或者换人的情况千万别约来都来了 只看最近一个月内的 尽量再群内先问再约,参考其他群友意见
Showing the 12 most recent of 86 posts we hold for @szpeachlist3. 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.
Mentions
Named by 13 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.
@szpeachblossom · 5,4635 posts深圳花奶巨乳38H罗湖小苍个人频道
@szfflail · 11,9522 posts桃花优惠频道
@szkanhua · 8,2072 posts中哈混血『Ruby』的小家
@Chinese_Ruby · 1,7561 post福田 依依的日常v log
@futianyiyi2026 · 1661 post集美的生活日记
@ktlwsyjsn1314 · 10,2591 post小甜甜的私生活😘😘
@PP52014131 · 11,5651 post桥本有菜报告频道
@qiaobenqiaoben6688 · 1101 post深圳个人姐妹妮妮『自聊版』
@qingyu68686 · 3,0221 post南山 环保E杯 珊珊
@shanshan12398 · 2,6491 post南山思语 🉑三🪣🉑sm
@sm68689271 · 8231 post深圳南山男士spa小冉
@xiaoran3573 · 2,7771 post南山🎀知知🎀的密㊙️花园✨
@zhi519915 · 5811 post
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,747,9806 posts全国包养萝莉/处女/学妹(广告频道)
@shuier333777 · 152 posts宝安 坪洲95 🉑🉑新频道
@aKeke885996 · 1,7161 post陈雨柔的朋友圈🪅
@cyr080802 · 4,1881 post贝贝的秘密
@dlxb888 · 1,9471 post宝安:富贵
@fff3839 · 2,6791 post初见_深圳大圈外围
@First_sz · 3,4431 post南山 初音· あんじ 疗愈私密抓龙筋SPA
@ggs66633 · 20,8911 post龙华优米🍭瘦底大波🎉
@hh520ls · 2,3961 post主频道.白露baby🌹反差淫SM剧本🉑69🉑🐍🉑3P
@Lulubaby520888 · 6,9361 post深圳兔女郎•丝足SM抓龙筋SAP疗愈型
@manman_666999 · 6,2581 post深圳Tokyo名流裸身私浴spa
@mingliu_tokyo · 5,1921 post深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 8,0041 post深圳福田大圈嫩模【星美美】身高177🔥
@sugarbaby520 · 17,7161 post哈萨克斯坦混血小团团的家🏠
@vhydfhjj345 · 2691 post锦汐🌹🌹🌹小窝 深圳南山首开
@wanting501688 · 1,2161 post绾绾的收集城堡🏰
@wanwanyaoya · 2351 post深圳夏朵朵|南山女王女奴 sm潮喷 道具💕全国空降🪂
@xiaduoduo2 · 8,1531 post(深圳南山)Av剧情泫雅🔥开课🀄️
@xiaomao1177 · 5,4881 post深圳南山区 晓雪兼职课表🌸
@xiaoxueFC · 2,0421 post🌹沐沐的后宫🌹
@xiaoyizi8686 · 9691 post深圳市南山区 瑶瑶个人兼职💯
@yaoyao58 · 2,3841 post罗湖沅一一❣️❣️舞蹈老师兼职,个人频道
@yiyi4533 · 1,4491 post龙岗小洋洋频道课表
@zybgmg · 2,9541 post
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳桃花榜单” (@szpeachlist3), 17,510 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/szpeachlist3.
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.