帮我找到亚马逊所有IOS系统的APP老版本信息,要真实的,不要串改信息的。有的可以私聊,推荐交易成功的悬赏50U,联系:@open22222 —————————————— 状态:#悬赏中 类目:#悬赏 #代办代做 发布时间:2026-11-04 15:11:16 发布人:open || #BH856808 —————————————— 📢 发悬赏 | 🚨 举报 | 发布人 | 收藏

Channel
悬赏-频道
@xuanshang
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Cite this entry
16,262subscribers
-935 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001681953586 |
|---|---|
| Type | Channel |
| Username | @xuanshang |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/xuanshang |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 |
|---|---|---|
| 6 Nov 2026, 09:36 | 16,262 | -20 |
| 5 Nov 2026, 07:48 | 16,282 | -10 |
| 4 Nov 2026, 09:17 | 16,292 | -16 |
| 3 Nov 2026, 11:50 | 16,308 | -9 |
| 2 Nov 2026, 09:08 | 16,317 | -8 |
| 1 Nov 2026, 08:44 | 16,325 | -6 |
| 31 Oct 2026, 10:47 | 16,331 | -3 |
| 30 Oct 2026, 09:11 | 16,334 | -15 |
| 29 Oct 2026, 07:38 | 16,349 | -40 |
| 28 Oct 2026, 07:56 | 16,389 | -1 |
| 27 Oct 2026, 07:46 | 16,390 | -10 |
| 26 Oct 2026, 10:15 | 16,400 | +14 |
| 25 Oct 2026, 12:00 | 16,386 | +1 |
| 24 Oct 2026, 11:35 | 16,385 | -29 |
| 23 Oct 2026, 11:25 | 16,414 | -4 |
| 22 Oct 2026, 13:01 | 16,418 | -29 |
| 21 Oct 2026, 03:28 | 16,447 | -19 |
| 19 Oct 2026, 22:11 | 16,466 | -18 |
| 19 Oct 2026, 00:50 | 16,484 | -10 |
| 17 Oct 2026, 23:16 | 16,494 | first reading |
Engagement
72 posts held, back to 24 July 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 62 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.1%
- avg views ÷ 16,262 subscribers
- Avg views / post
- 1,970
- 23 posts measured
- Reaction rate
- 0.066%
- reactions ÷ views · ER floor
- Posts in window
- 24
- of 72 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 19 of 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 72 (24 July 2026 – 4 November 2026) |
| Views total | 45,240 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 04:42 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
- 3m 46s
- Average length
- 28s
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
52 reactions across 31 posts, in 3 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 61.5% | |
| 👍 | 17 | 32.7% | |
| 😁 | 3 | 5.77% |
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 48 of the 72 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 72 most recent posts we hold, published 24 July 2026 to 4 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 71 we hold a reading for · 1%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @xuanshang. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 72 most recent posts we hold for this entry, published 24 July 2026 to 4 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 24 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).
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Showing the 12 most recent of 72 posts we hold for @xuanshang. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @xuanshang as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 30 August 2026
- Most recent seen missing
- 30 August 2026
- Median time before seen missing
- 9 days
- Seen missing in the last 30 days
- 0
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.
@xuanshang_bot · 43,49063 postsMK体育
@MK888bot · 10,2637 postsMK体育—飞投版: MK.BET
@MKFT777 · 2,4867 posts东南亚资讯|聚焦
@rdsjo · 15,1757 postsEva
@MKFTYZ · 16 posts东南亚吹水群·四海为家
@eshwj · 2,3621 post全球ws蓝标号 API群发WS蓝V号代注册
@kkkkkk1394 · 21 post淘宝娱乐@Taobao
@taobao · 16,0081 post天梯VPN官方7天会员试用兑换群🇨🇳🇨🇳🇨🇳
@TianTivpn8 · 3,8191 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“悬赏-频道” (@xuanshang), 16,262 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/xuanshang.
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.