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Channel

泠川频道封禁/解封

@lkdw1

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

235subscribers

+12 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003997414967
TypeChannel
Username@lkdw1
CreatedBetween 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/lkdw1

Growth

2232352297 August 2026 — 223 subscribers8 August 2026 — 224 subscribers8 August 2026 — 224 subscribers14 August 2026 — 235 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net +12. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 221–237 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:38235+11
8 Aug 2026, 10:31224no change
8 Aug 2026, 07:02224+1
7 Aug 2026, 20:07223first reading

Engagement

16 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
46.1%
avg views ÷ 235 subscribers
Avg views / post
108
16 posts measured
Reaction rate
0.948%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 5 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held16 (3 August 20268 August 2026)
Views total1,735
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 10:31 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

6 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6100.0%

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 5 of the 16 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 3 August 2026 to 8 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

7 Aug 2026, 16:49 UTC126 views0 reactionsread 8 August 2026

⚠️接业务: 😀机主 😃码反 😀神父 😃全国头 😀婚姻状态 😃QQ代打 😀快手代打 😃频道代打 😀小红书代打 👮‍♀️代打报单联系 @xinjiu11 👮‍♀️双向联系 @NNksabotb 📱官方频道 @lkdw1

5 Aug 2026, 23:21 UTC64 viewsread 8 August 2026

反馈联系 @xinjiu11 ❤️拜师联系 @xinjiu11 ❤️双向联系 @NNksabotbot

5 Aug 2026, 23:14 UTC64 viewsread 8 August 2026
Photo

📱欺诈直举 公益思路 欺诈金额数目:😀😃😃😃😃😃😃 配图提交举报 适配打发链接 文件

5 Aug 2026, 01:01 UTC233 views1 reactionsread 8 August 2026

📱8.5 快手打外挂公益文本 尊敬的快手客服您好,我实名举报一名快手用户(),该用户长期公开分享售卖游戏外挂与作弊工具,刻意掩盖作弊效果规避平台审核,在评论区诱导未成年人私下交易,向外散播外挂下载链接。外挂捆绑恶意程序,极易造成账号被盗、财产损失、个人信息泄露,恶意篡改游戏数据严重破坏游戏公平,助长网络黑灰产,扰乱网络公共秩序。该行为已违反《网络安全法》《互联网信息服务管理办法》,触犯刑法中提供侵入、非法控制计算机信息系统程序、工具罪相关条款,同时违背《快手社区管理规范》,恳请快手官方对该用户予以永久封禁,杜绝此类违规行为继续扩散。 ⚠️使用方法:直举+人工+主页配图+违规图 使用加入官方频道 📱 https://t.me/lkdw1

👍1

4 Aug 2026, 11:19 UTC88 views2 reactionsread 8 August 2026

😀拜师 😃报单 😀购买思路 ⚠️有事扣后台联系 ❤️拜师联系 @xinjiu11 ❤️双向联系 @NNksabotbot

👍2

4 Aug 2026, 08:27 UTC102 views2 reactionsread 8 August 2026

📱直举 举报QQ空间 举报该QQ用户空间严重违反QQ社区公约,该用户把举报生效截图、他人求饶截图挂于QQ空间,辅以侮辱言辞攻讦他人,胁迫对方恐慌并注销QQ账号。该用户空间留存诸多暴力记录,多处肆意诋毁他人,恳请平台清除账号全部违规内容。 使用请加入频道: 📱 https://t.me/lkdw1

👍2

4 Aug 2026, 08:23 UTC112 viewsread 8 August 2026

📱8.4 公益文本 ‼️食用方法:网络不良信息+文本+违规图 尊敬的腾讯卫士客服您好!我郑重举报自称为“扣子圈”的违规用户,该用户公然发布大量恶意辱骂、人身侮辱言论,严重违背公序良俗,违反腾讯平台管理规则,侵害广大用户合法权益,恳请平台立刻介入核查处置。该用户在千人规模的群聊内,肆无忌惮使用“你妈死了”“操你妈、操你个狗妈”等极端污秽词汇,恶意诋毁他人亲属,言语粗鄙恶毒,侮辱性质极强。群内存在大量未成年人与中老年用户,公开传播这类恶性脏话,极易诱导未成年人模仿粗俗暴力的沟通模式,扭曲青少年是非观念,对未成年人心理造成不可逆的负面影响。言语针对亲属进行人身攻击,严重伤害中老年用户情感,极易激化对立,诱发群体性争吵冲突。目前群内无管理员及时管控,该用户肆意妄为,恶劣言行持续发酵扩散,不良影响不断扩大,彻底破坏群聊正常交流秩序,践踏网络文明底线。作为腾讯长期用户,我十分认可平台净化网络环境的工作,恳请平台对该账号从严从重处置,阻断不良

Showing the 12 most recent of 16 posts we hold for @lkdw1. 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 — 1,248,506 of 1,563,849entries 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 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“泠川频道封禁/解封” (@lkdw1), 235 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/lkdw1.

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.