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Channel
野寻 · 深圳精选档案
@chasesz_lsjx
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
10,735subscribers
+5,702 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 | -1002330005404 |
|---|---|
| Type | Channel |
| Username | @chasesz_lsjx |
| Created | 22 December 2024 — measured — dated from the channel’s first post |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/chasesz_lsjx |
Topic
Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 17:04 | 10,735 | -152 |
| 7 Nov 2026, 10:27 | 10,887 | -159 |
| 6 Nov 2026, 07:10 | 11,046 | +493 |
| 5 Nov 2026, 07:18 | 10,553 | -77 |
| 4 Nov 2026, 08:24 | 10,630 | -124 |
| 3 Nov 2026, 05:09 | 10,754 | -5 |
| 2 Nov 2026, 02:41 | 10,759 | -178 |
| 1 Nov 2026, 03:50 | 10,937 | +474 |
| 31 Oct 2026, 06:55 | 10,463 | +356 |
| 30 Oct 2026, 04:48 | 10,107 | -134 |
| 29 Oct 2026, 02:50 | 10,241 | -212 |
| 27 Oct 2026, 22:20 | 10,453 | -129 |
| 26 Oct 2026, 19:41 | 10,582 | -224 |
| 25 Oct 2026, 18:01 | 10,806 | +516 |
| 24 Oct 2026, 15:08 | 10,290 | -158 |
| 23 Oct 2026, 17:28 | 10,448 | -141 |
| 22 Oct 2026, 16:17 | 10,589 | -294 |
| 21 Oct 2026, 13:06 | 10,883 | -165 |
| 20 Oct 2026, 08:51 | 11,048 | -231 |
| 19 Oct 2026, 11:27 | 11,279 | first reading |
Engagement
10 posts held, back to 22 December 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 20 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.96%
- avg views ÷ 10,735 subscribers
- Avg views / post
- 318
- 4 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 10 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.
| Window | Rolling 30 days · latest post in window 2 November 2026 |
|---|---|
| Posts held | 10 (22 December 2024 – 2 November 2026) |
| Views total | 1,270 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 09:06 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
- 32s
- Average length
- 8s
Measured directly from 4 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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 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 2 of the 10 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 22 December 2024 to 2 November 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
Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
♥️CHASE | ♡ SHENZHEN 😀 视频验证 ⭐ #北北 #10P#龙岗 纯天然 可爱温柔 比较腼腆 📡联系方式 : 点击获取北北联系方式 约课备注"野寻推荐" ✍️评价老师 : 点击评价 💌 作业参考01 💌 作业参考02 💌 作业参考03 🤣🤣🤣🤣🤣🤣🤣🤣 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️CHASE | ♡ SHENZHEN 😀 视频验证 ⭐#雯雯 #8P #福田 三点粉 乖巧听话活泼可爱 女友感十足 📡 联系方式 : 点击获取雯雯联系方式 约课备注"野寻推荐" ✍️ 评价老师 : 点击评价 💌 作业参考01 💌 作业参考02 💌 作业参考03 💌 作业参考04 💌 作业参考05 🤣🤣🤣🤣🤣🤣🤣🤣 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️CHASE | ♡ SHENZHEN 😀 视频验证 ⭐ #可可 #8P #龙华区 乖巧听话活泼可爱 女友感十足 希望哥哥轻点 📡 联系方式 : 点击获取可可联系方式 约课备注"野寻推荐" ✍️ 评价老师 : 点击评价 💌 作业参考01 💌 作业参考02 💌 作业参考03 💌 作业参考04 💌 作业参考05 💌 作业参考06 🤣🤣🤣🤣🤣🤣🤣🤣 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️ CHASE | ♡ SHENZHEN 😀 南汐已验证 ⭐#冉冉 #9P #宝安 📡 联系方式 :点击获取冉冉联系方式 约课备注"野寻推荐" ✍️ 评价老师 : 点击评价 💌 作业参考01 💌作业参考02 ——————————————— 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️ CHASE | ♡ SHENZHEN 😀 南汐已验证 ⭐ #贝贝 #10P #福田 📡 联系方式 :点击获取贝贝联系方式 约课备注"野寻推荐" ✍️ 评价老师 : 点击评价 💌 作业参考01 —————————————— 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️ CHASE | ♡ SHENZHEN 😀 南汐已验证 ⭐ #南乔 #6P #南山 📡 联系方式 :点击获取南乔联系方式 约课备注"野寻推荐" ✍️ 评价老师 : 点击评价 💌 作业参考01 💌作业参考02 ——————————————— 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
♥️ CHASE | ♡ SHENZHEN 😀 南汐已验证 ⭐#依依 #6P #福田 📡 联系方式 :点击获取依依联系方式 约课备注"野寻推荐" ✍️ 评价老师 : 点击评价 💌 作业参考01 💌作业参考02 💌 作业参考03 💌作业参考03 —————————————— 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度
❤1
😀 野寻 · 深圳修车导航 😀 ~逐梦鹏城路漫漫,相逢一笑暖心间~ ~同行不惧风霜苦,有友相随天地宽~ 新手中心: 😀【野寻 · 深圳使用手册】 😀 野寻大讲堂 └ 作业模版 └ 积分商城 └ 会员制度 └ 工兵模版 └ 查找老师 😀 深圳榜单导航 └ 按价格 └ 按地区 └ 按服务 └ 按标签 😀 其它资源 └ 野寻· 深圳外围 └ 野寻· 深圳包养 └ 野寻· 深圳商家 ⚡【野寻· 深圳】榜单结构 ├ 打卡通告群 @chasesz_tgq ├ 学生交流群 @chasesz_jlq ├ 小喇叭 @chasesz_xlb ├ 榜单导航 @chasesz_bddh ├ 修车档案 @chasesz_lsda ├ 精选档案 @chasesz_lsjx ├ 作业评价 @chasesz_zypj ├ 活动公告 @chasesz_hdgg …
❤1
Channel created
Showing the 10 most recent of 10 posts we hold for @chasesz_lsjx. 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 5 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.
Names
Channels on the register whose handles appear in this channel's posts.
@chasesz_jlq · 24,3209 posts野寻 · 深圳小喇叭
@chasesz_xlb · 1,2068 posts野寻 · 深圳作业评价
@chasesz_zypj · 11,9058 posts野寻 · 深圳活动公告
@chasesz_hdgg · 12,3192 posts野寻 · 深圳打卡通告群
@chasesz_tgq · 24,5702 posts贝贝 休学 (深圳南山)
@beibei77871 · 3,0551 post野寻 · 深圳榜单导航
@chasesz_bddh · 4,8871 post野寻 · 深圳包养档案
@chasesz_byda · 1,2121 post野寻 · 深圳修车档案
@chasesz_lsda · 13,9851 post野寻 · 深圳商家档案
@chasesz_sjda · 2,0841 post野寻 · 深圳外围档案
@chasesz_wwda · 2,4591 postLotteryBest抽奖导航
@lotterynav · 193,7711 post"野寻公告"
@ooxxdh · 6,1221 post野寻 · 深圳官方入口
@sz_ooxx · 1,3031 post上海【喜茶】广播站
@xichash · 12,8961 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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“野寻 · 深圳精选档案” (@chasesz_lsjx), 10,735 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/chasesz_lsjx.
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.