夏令营避坑课程3 骗子特征②:网课、担保、包夜10小时不限次 网课 就是裸聊。不确定电报是不是真有干这个的,没见过。在电报随便都能找到线下实干的,有多少会为这个买单。换个角度,交着昂贵的租金,同样的课时只收一半的钱,为什么不去接个大课。 担保 多数人交不起这个保费,也没见过有这样做。妹子身上经常不剩什么钱,交个房租吃个饭,没了。赚了就花了,更别提拿几万块押在网上。 包夜10小时不限次 年轻的没那么便宜,也没那么耐干。夜课价格通常是P价*4次。

Channel
出击风向 · 繁花导航
@cjnav
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
5,606subscribers
-37 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 | -1001543700078 |
|---|---|
| Type | Channel |
| Username | @cjnav |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/cjnav |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 23:56 | 5,606 | -20 |
| 10 Aug 2026, 02:31 | 5,626 | -16 |
| 7 Aug 2026, 04:56 | 5,642 | -1 |
| 6 Aug 2026, 22:02 | 5,643 | first reading |
Engagement
7 posts held, back to 13 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 28.2%
- avg views ÷ 5,606 subscribers
- Avg views / post
- 1,580
- 4 posts measured
- Reaction rate
- 0.13%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 7 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 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 7 (13 May 2025 – 9 August 2026) |
| Views total | 6,329 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:03 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.
Reaction mix
120 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 72 | 60.0% | |
| 👍 | 48 | 40.0% |
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 6 of the 7 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 120reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 13 May 2025 to 9 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
夏令营避坑课程2 骗子特征①:账号不展示位置信息 私聊账号和频道中,都不会看到跟城市位置有关的信息。因为骗子同时在不同的城市钓鱼,所以故意不写自己的位置。 这时不管你说在哪里,只要是有布局的城市,他都会告诉你有空,并且上门需要先支付定金和路费。 这种骗子通常只会维护一个频道,而且频道使用时间不短。持续骗了几年的,频道内的名字和联系方式经常对不上,甚至没有留下联系方式,因为钓鱼账号一直在换。
❤3👍1
夏令营避坑课程1 收到主动私聊消息,提供上门服务 1. 为什么会收到陌生人的私信? 因为有程序监听到了你发送的包含关键词的群消息,将你的信息推送给了他的客户,他的客户就是给你发私信的人。 这里面很大程度要归因于电报对群发消息的纵容,向陌生人群发消息几乎没有门槛。而普通用户却不能设置拒收陌生人消息,只有会员才可以设置仅收付费消息。并且电报对于开通会员的广告号被举报的容忍程度非常之高,少数人举报一个会员账号很难被封号。 2. 发私信广告的是什么人? 第一类,纯骗子,稍后做解释。 第二类,二道贩子、聊手,如上图所示。他们对接了中介老板、炮楼老板。他们的工作就是在网上找客户,引导客户过去消费,然后收取提成。因为他们只负责派单,所以只会问你在哪里,不提供课室,不收定金,成不成、怎么收费、路费都不是他要考虑的事情。 第三类,真老师。很少。因为电报会对大量发送私信的账号进行风控,账号被封禁就会影响正常的工作沟通。 3. 怎样应对? 对…
👍2❤1
本频道将开设一期夏令营,讲解电报上常见的骗术雷点。 [目录] 1. 收到私聊提供上门服务 2. 骗子特征①:账号不展示位置信息 3. 骗子特征②:网课、担保、包夜10小时不限次 待更新
25年2季度新增收录老师 931 位,平均每日新增老师10位,总数较上季度增加88位。 在新增收录中,800组和1000组所占比例回升,0-900价格区间所占比例达到49.9%,价格中位数为900。1000组、1200组、1500+组比例和人数均下降。 #价格分布
👍32❤27
热度观察 周期:2025-05-12 - 2025-05-19 今天不少老师生意都不错吧,也祝没出击的各位和另一半玩得开心,没有另一半的下半年加把劲。 老师联系方式可以在 @szblossomss 中查询获取。 * 访问量:频道单日访问量 * 变幅:访问量较上周变幅,红字上升,绿字下降 * 粉色背景:开课时间小于一个月 * 绿色背景:开课时间小于一个月的嫩妹
❤30👍8
热度观察 周期:2025-05-05 - 2025-05-11 本周老师已全部归位,新人增速恢复到节前水平。800组新人比例开始超过老人,新人比老人人数多出了45%,前100名里新人也是略多于老人。1000组和1500组,新旧比例持平,但是前100名里,老人比新人均多出一倍。 老师联系方式可以通过 @szblossomss 查询获取。 * 访问量:频道单日访问量 * 变幅:访问量较上周变幅,红字上升,绿字下降 * 粉色背景:开课时间小于一个月 * 绿色背景:开课时间小于一个月的嫩妹
❤11👍5
Showing the 7 most recent of 7 posts we hold for @cjnav. 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 — 143,549 of 1,350,102entries 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 2 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“出击风向 · 繁花导航” (@cjnav), 5,606 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cjnav.
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.