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Channel
深蓝物理机|海外独立电脑服务|跨境远程终端
@shenlan8888
On this record: Topic · Growth · Engagement · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
6,216subscribers
-578 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001318168226 |
|---|---|
| Type | Channel |
| Username | @shenlan8888 |
| Created | Between 1 March 2018 and 12 December 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 15 November 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 15 November 2026 |
| On Telegram | t.me/shenlan8888 |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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 |
|---|---|---|
| 15 Nov 2026, 08:15 | 6,216 | -13 |
| 10 Nov 2026, 09:59 | 6,229 | -14 |
| 6 Nov 2026, 19:58 | 6,243 | -11 |
| 3 Nov 2026, 13:30 | 6,254 | -3 |
| 31 Oct 2026, 21:10 | 6,257 | -4 |
| 29 Oct 2026, 02:30 | 6,261 | -11 |
| 26 Oct 2026, 05:28 | 6,272 | -7 |
| 23 Oct 2026, 13:16 | 6,279 | -6 |
| 20 Oct 2026, 06:18 | 6,285 | -3 |
| 17 Oct 2026, 08:14 | 6,288 | -4 |
| 14 Oct 2026, 17:11 | 6,292 | -6 |
| 11 Oct 2026, 05:21 | 6,298 | -8 |
| 5 Oct 2026, 07:41 | 6,306 | -14 |
| 26 Sept 2026, 20:35 | 6,320 | -254 |
| 17 Sept 2026, 19:40 | 6,574 | -8 |
| 13 Sept 2026, 19:37 | 6,582 | -39 |
| 10 Sept 2026, 08:56 | 6,621 | -23 |
| 5 Sept 2026, 00:58 | 6,644 | -15 |
| 1 Sept 2026, 05:55 | 6,659 | -16 |
| 29 Aug 2026, 15:07 | 6,675 | first reading |
Engagement
33 posts held, back to 12 December 2020 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.145%
- avg views ÷ 6,216 subscribers
- Avg views / post
- 9.0
- 8 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 8
- of 33 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 November 2026 |
|---|---|
| Posts held | 33 (12 December 2020 – 5 November 2026) |
| Views total | 72 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 15:00 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 8 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 33 posts we hold for @shenlan8888. 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 5 posts on @shenlan8888 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
- 18 August 2026
- Most recent seen missing
- 4 November 2026
- Median time before seen missing
- 6 days
- Seen missing in the last 30 days
- 2
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.
@shenlan88888 · 39 posts快搜🔍资源搜索@kuai
@kuaia · 1,051,2467 posts快搜🔍资源搜索@kuai
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@cjyq · 1,378,7086 posts社工库机器人推荐频道
@SGK7777777 · 16,5144 posts会员贴纸/表情/图标/贴纸表情/宝藏资源
@bansui1 · 11,0363 posts中文反差萝莉母狗探花偷拍吃瓜🔞
@bole5555 · 3,1163 posts吃瓜色色
@chiguaseseo · 11,7633 posts暗网赚钱项目灰产骗局曝光🪬
@D1SOU10 · 4,3263 posts积木 🔍 资源搜索 @jimu
@jimu · 100,2473 posts极搜🔍资源搜索@JISOU
@jisou2 · 2,644,1593 posts吃瓜ღ猎奇【抖音吃瓜】
@okrrr8 · 4,1323 posts资源搜索 🔍中文搜索 超级索引 全能搜片
@sounv5 · 10,1233 posts猎奇吃瓜榜💯(吃瓜 美女 沙雕 搞笑 )
@zousouwo · 3,1703 posts混剪小屋🫦 抖音风裸舞抖音曝光
@chaankefubot · 7,5952 posts中文吃瓜中心沙雕日常 🍉
@chigua_af · 4,6042 posts海的那边有什么
@hdnb8 · 3,7812 posts📣【U盟供需】限时免费
@umenggx · 8,6812 postsAI星空脱衣换脸机器人
@aixingkongkongbot · 13,7971 post东南亚新闻华人吃瓜猎奇大曝光
@bosimao80 · 4,3121 post🌎 柬埔寨华人社区 · 大事件频道
@CB0710 · 1,5701 post法律危机公关核心业务频道
@fawugg · 8581 post星耀【海外担保】业务大厅
@hwdbgood · 27,1971 post全球新闻头条/吃瓜/全网曝光 投稿骗子曝光频道
@up3777 · 5,8991 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@shenlan8888 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 13 August 2026 – 19 August 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 15 November 2026 — this entry's latest reading, not the date you are reading this.
“深蓝物理机|海外独立电脑服务|跨境远程终端” (@shenlan8888), 6,216 subscribers as measured 15 November 2026. Telegram Register, tgregister.com/channel/shenlan8888.
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.