图片单交单模版

Channel
WPK做单流程
@SILING885
On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
324subscribers
+181 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001277235021 |
|---|---|
| Type | Channel |
| Username | @SILING885 |
| Description | 做单人员看教程 |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 5 October 2026 |
| Measurements held | 10 |
| On Telegram | t.me/SILING885 |
Topic
Gambling & betting — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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.
Previous handles
@SILING885 was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
held 8 August 2026 – 8 August 2026
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Oct 2026, 11:22 | 324 | no change |
| 5 Oct 2026, 10:47 | 324 | +13 |
| 18 Sept 2026, 15:39 | 311 | +15 |
| 9 Sept 2026, 22:41 | 296 | +16 |
| 31 Aug 2026, 18:36 | 280 | +6 |
| 25 Aug 2026, 01:44 | 274 | +10 |
| 16 Aug 2026, 21:34 | 264 | +99 |
| 9 Aug 2026, 15:11 | 165 | +22 |
| 8 Aug 2026, 21:46 | 143 | no change |
| 8 Aug 2026, 15:01 | 143 | first reading |
Engagement
28 posts held, back to 4 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 2 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 33.4%
- avg views ÷ 324 subscribers
- Avg views / post
- 108
- 13 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 14
- of 28 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 5 October 2026 |
|---|---|
| Posts held | 28 (4 August 2026 – 5 October 2026) |
| Views total | 1,405 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Oct 2026, 11:22 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
- Photos
- 12
- Videos
- 6
- Links
- 2
Lifetime counters from Telegram’s own channel header, read 5 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 1m 33s
- Average length
- 23s
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.
Recent posts
微信图片单【交单模版】 1. 18670005971 微信加好友通过了发图片 然后发话术 哥,这边俱乐部特邀福利,加客服轻序协同可以直接领取200-1000,不用充值就能上桌 就算单 单价 😃 日单 30单以上 😃 日单 60单以上 😃😃 图片做单联系:@quanquan2
Sticker, posted without a caption
Posted without readable text
引导单交单模板 简单上手
手机号:1816xxxxx wpkid:46977418 轻序协同 id:880424
微信/QQ/支付宝 引导单 高通数据 加好友通过之后发话术引导即可 客户基本都会玩 不是小白 简单上手 😃😃/单 散户团队通通有价格! 大团包养 小团补贴 不风控不按头 学生宝妈都可以做 双向直接点赞❤ 做单联系人:@siling89 做单频道:@siling881 做单交流群:@siling883
客户微信名: 客户微信号: 客户手机号: 做单人:飞机名字 接待客服: 单数:
微信拉群 流程: 我给你数据 加了通过接上我的企业微信客服 有通过就给客服发个消息 客服会建群 你进群之后把粉拉进群就算单,不死号 (秒退 客服没聊上的不算单 交完单客服聊着退群了 算单) 德州菠菜高通过数据 单价 😃😃起 散户团队都要有量有价 不风控不按头 学生宝妈都可以做 双向直接点赞 做单联系人:@siling89 做单频道:@siling881 做单交流群:@siling883
Q 推流程 很简单 客户都是玩过的 只需要引导他加客服 拿到两张图即可
QQ1057656981 wpk 6843997 轻序633297
微信/QQ/支付宝 引导单 高通数据 通过之后发话术引导即可 😃😃/单 拿数据联系司令 @siling89
Showing the 12 most recent of 28 posts we hold for @SILING885. 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.
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
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 5 October 2026 — this entry's latest reading, not the date you are reading this.
“WPK做单流程” (@SILING885), 324 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/SILING885.
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.