♥️ CHASE | ♡ SHENZHEN 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #涵涵 地区 : #龙华新区 龙华上塘 数据 : 2005_163_46_D 价格 : #12P #12PP #YE 服务 : #双飞 #69 #角色扮演 #可外出 标签 : #大胸 #服务系 🌍 联系方式 :点击获取涵涵联系方式 约课备注"野寻推荐" ✉️ 评价老师 : 点击评价 天然34D 性格开朗 会配合 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度

Channel
野寻 · 深圳修车档案
@chasesz_lsda
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,714subscribers
+4,559 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002359812993 |
|---|---|
| Type | Channel |
| Username | @chasesz_lsda |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/chasesz_lsda |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 21:14 | 9,714 | +1,017 |
| 29 Aug 2026, 15:04 | 8,697 | +1,235 |
| 26 Aug 2026, 18:42 | 7,462 | -197 |
| 23 Aug 2026, 22:37 | 7,659 | +630 |
| 19 Aug 2026, 21:38 | 7,029 | +1,116 |
| 16 Aug 2026, 16:18 | 5,913 | +605 |
| 13 Aug 2026, 06:57 | 5,308 | +75 |
| 10 Aug 2026, 02:12 | 5,233 | +72 |
| 7 Aug 2026, 05:58 | 5,161 | +6 |
| 6 Aug 2026, 20:05 | 5,155 | first reading |
Engagement
25 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 11 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.88%
- avg views ÷ 9,714 subscribers
- Avg views / post
- 183
- 25 posts measured
- Reaction rate
- 0.713%
- reactions ÷ views · ER floor
- Posts in window
- 25
- of 25 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 25 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 | 25 (6 August 2026 – 28 August 2026) |
| Views total | 4,569 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 22:49 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
- 1m 15s
- Average length
- 9s
Measured directly from 8 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
4 reactions across 2 posts, in 4 distinct kinds. The most used accounts for 25.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 25.0% | |
| ❤🔥 | 1 | 25.0% | |
| 👍 | 1 | 25.0% | |
| 😘 | 1 | 25.0% |
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 3 of the 25 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 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
♥️ CHASE | ♡ SHENZHEN 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #小蜜 地区 : #罗湖区 碧桂园翠湖大厦 数据 : 2008_168_52_C 价格 : #8P #15PP #45YE 服务 : #舌吻 #69 #可过夜 标签 : #嫩妹系 #长腿 #蜜臀 #兼职学生 🌍 联系方式 :点击获取小蜜联系方式 约课备注"野寻推荐" ✉️ 评价老师 : 点击评价 主打服务态度到位 真实学生 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
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♥️ CHASE | ♡ SHENZHEN 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #婉宁 地区 : #福田区 福田上梅林 数据 : 2008_168_47_C 价格 : #9P #18PP #50YE 服务 : #共浴 #舌吻 #69 #角色扮演 #可外出 #可过夜 标签 : #大胸 #嫩妹系 #三点粉 🌍 联系方式 :点击获取婉宁联系方式 约课备注"野寻推荐" ✉️ 评价老师 : 点击评价 三点粉嫩 本人比照片好看 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️ CHASE | ♡ SHENZHEN 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #小依 地区 : #南山区 南光地铁站 数据 : 2005_161_44_B 价格 : #7P #13PP #38YE 服务 : #共浴 #舌吻 #69 #角色扮演 #可外出 #可过夜 标签 : #嫩妹系 #服务系 🌍 联系方式 :点击获取小依联系方式 约课备注"野寻推荐" ✉️ 评价老师 : 点击评价 短期兼职 希望哥哥多多关照 温柔以待 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️ CHASE | ♡ SHENZHEN 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #奶甜甜 地区 : #罗湖区 联城美园 数据 : 1998_162_55_G 价格 : #10P #18PP #30YE 服务 : #共浴 #舌吻 #69 #可外出 #潮喷 标签 : #大胸 #服务系 #孕妇奶妈 🌍 联系方式 :点击获取奶甜甜联系方式 约课备注"野寻推荐" ✉️ 评价老师 : 点击评价 新人奶妈 性格温柔 温柔热情 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️ CHASE | ♡ SHENZHEN 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #小甜 地区 : #南山区 南山白石洲 数据 : 2003_165_45_C 价格 : #14P #24PP #59YE 服务 : #共浴 #角色扮演 #可外出 #可拍视频 #可过夜 标签 : #大胸 #御姐系 #嫩妹系 #长腿 #颜值系 🌍 联系方式 :点击获取小甜联系方式 约课备注"野寻推荐" ✉️ 评价老师 : 点击评价 深圳热门小姐姐🔥 我会用最风骚的状态和哥哥们见面 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️ CHASE | ♡ SHENZHEN 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #小琪 地区 : #龙华新区 龙华油松文创园 数据 : 2001_170_49_D 价格 : #5P #10PP #20YE 服务 : #共浴 #69 #可外出 #可过夜 标签 : #大胸 #三点粉 #服务系 🌍 联系方式 :点击获取小琪联系方式 约课备注"野寻推荐" ✉️ 评价老师 : 点击评价 天然性感36D真🐻 甜美可爱 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
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♥️ CHASE | ♡ SHENZHEN 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #雪儿 地区 : #福田区 财富广场 数据 : 2002_167_51_C 价格 : #7P #14PP #48YE 服务 : #69 #角色扮演 #可外出 #可过夜 #抓龙筋 标签 : #肤白 #大胸 #御姐系 #服务系 🌍 联系方式 :点击获取雪儿联系方式 约课备注"野寻推荐" ✉️ 评价老师 : 点击评价 拥有18手神技 让哥哥痴迷忘返 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
Showing the 12 most recent of 25 posts we hold for @chasesz_lsda. 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.
Citation-graph rank
Citation-graph rank — 43,683 of 1,630,085 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 15 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.
@chasesz_zypj · 10,89869 posts野寻 · 深圳榜单导航
@chasesz_bddh · 5,24734 posts野寻 · 深圳活动公告
@chasesz_hdgg · 9,52410 postsLotteryBest抽奖导航
@lotterynav · 169,41510 posts野寻 · 深圳小喇叭
@chasesz_xlb · 4,4129 postsLotteryBest精选推荐
@lotterybestnav · 142,3054 posts野寻 · 深圳商家档案
@chasesz_sjda · 5,2993 posts野寻 · 深圳官方入口
@sz_ooxx · 4,2663 posts福田名师·しよう 裸身疗愈抓龙筋SPA
@cc663766 · 5,0692 posts野寻 · 深圳精选档案
@chasesz_lsjx · 9,5032 posts深圳花奶巨乳38H罗湖小苍个人频道
@szfflail · 12,2912 posts沈之夏的朋友圈
@EH7I6HQ · 3861 post坂田 小葡萄🍇
@ipnnlpoo · 1,7121 post个人西丽糖糖❤(开课中)
@J333X3 · 1,5121 post南山简悦 & 私享半裸抓龙筋高端SPA
@Joy52088 · 8,4691 post
Names
Channels on the register whose handles appear in this channel's posts.
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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“野寻 · 深圳修车档案” (@chasesz_lsda), 9,714 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/chasesz_lsda.
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.