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Channel
微信附近人
@dapl200499
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
21subscribers
+7 since we began measuring on 2 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004349494986 |
|---|---|
| Type | Channel |
| Username | @dapl200499 |
| Created | 29 September 2026 — measured — dated from the channel’s first post |
| First recorded | 2 October 2026 |
| Last confirmed live | 7 October 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 7 October 2026 |
| On Telegram | t.me/dapl200499 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Oct 2026, 07:22 | 21 | +7 |
| 2 Oct 2026, 12:22 | 14 | first reading |
Engagement
11 posts held, back to 29 September 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 257.1%
- avg views ÷ 21 subscribers
- Avg views / post
- 54.0
- 9 posts measured
- Reaction rate
- 1.96%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 11 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 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 October 2026 |
|---|---|
| Posts held | 11 (29 September 2026 – 2 October 2026) |
| Views total | 486 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 12:22 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
- 4m 20s
- Average length
- 2m 10s
Measured directly from 2 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 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 66.7% | |
| 😁 | 1 | 33.3% |
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 11 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 11 most recent posts we hold, published 29 September 2026 to 2 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
微信附近人 pinned a video
做单必看 负责人@@tdpg30
❤1
交单模板朋友圈截图+附近人截图+详细地址
头像随便换一个
😁1
不显示像这样 清除位置信息退出重进
微信附近人显示机制: 附近人不显示和改不改资料 发不发朋友圈关系不大。能显示的号,怎么都能显示。我自己的号不改资料进附近人有时候也不显示,有时候却能显示,虽然和号有一点关系,但是关系不是特别大,最主要和腾讯的机制有关系,现在的机制就是附近人里面不会每个人都展示,都是随机的,可能这会显示你,过了一会又不显示你,然后过个两天又显示你。 不能显示的号过个一天再进附近的人就行了,当天不显示的号,可以试试清除刷新,如果清除刷新了还是不显示,再怎么刷新都没用,就只能过个一天再进附近的人。
如何提高显示率 ✅如果今天下班了 可以让小弟把性别提前设置成女性,然后进一下附近人,第二天做单成功率100%。 ✅用正常号做单,新号,近期被封过,做过微信im,做过微信代加,加好友频繁,刚解封,这些号附近的人显示概率不会那么高,但是也可以试一下,反正不封号 ✅账号不要频繁切换,频繁切换账号也可能导致不显示。 ✅做单顺序也不要错,不然也会不显示严格按照1234(教程视频里面有)。 ✅要小弟用自己日常使用的号做,不要频繁切换账号,挂朋友圈不会封号。 ⚠️做到我上面说的这些 95%可以显示
一个号无限做教程(单号单天利润800+) ❤️附近的人显示的号,如果你觉得你附近的人少,可以通过改定位一个号无限做,并且拿最高价。 ✅苹果改定位教程(需要电脑,教程如图): 1:电脑下载爱思助手 爱思助手官网: i4.cn 2:用数据线把手机和电脑连接 3:打开爱思助手 5:点击工具箱 6:点击虚拟定位 7:找到你想改的位置,改定位,修改成功后重新进入附近的人,位置就会更改 ✅安卓改定位教程(不需要电脑): 1:下载爱思助手手机版本 安装包: https://t.me/vxzqjc/805 2:下载好之后打开爱思助手,按照提示授权 3:找到虚拟定位 4:修改你想改的位置,改好后,重新进入附近的人,位置就会更改
做单教程·一定要按顺序操作 😂第1步:设置陌生人可见朋友圈前10条 😂第2步:头像改美女头像(改好看点的美女头像),性别改女 😂第3步:进入附近的人刷新 😂第4步:发布朋友圈(可设置好友不可见) 😂第5步:截屏附近的人界面和朋友圈界面+精确地址 交单 ‼️:每隔30分钟近一下附近的人,不然可能会不显示 ‼️挂附近人过程中,不能删除和隐藏朋友圈,不能把允许模式人查看10条朋友圈删除,不能把性别和头像改回男生,不能频繁切换账号 ‼️:你发朋友圈把好友屏蔽就行,这样不会封号,10个号封一个都很难,小概率被封只有一个原因,被人举报了,这种情况解除一下就好了,几分钟的事情,基本不会出现这种情况
❤1
Channel created
Showing the 11 most recent of 11 posts we hold for @dapl200499. 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 1 registered channel — 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@dapl200499 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 3 October 2026 – 3 October 2026
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 7 October 2026 — this entry's latest reading, not the date you are reading this.
“微信附近人” (@dapl200499), 21 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/dapl200499.
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.