新人靠破甲AI手搓出外挂了??? 用户反馈:一套辅助全是用的DeepSeek破甲版制作 免费签到领积分创建的价值 会的自然会 不会的什么都不会 写外挂 代码 脚本 渗透等等都不在话下 【注册机器人免费领取积分 拉人也送积分】
👍13
Signed 玲珑
![Telegram profile photo for 淡雾大家庭[冲15k]](https://cdn.tgregister.com/av/2a/2a79ebfced89dde0e89f98f8b15c9eab3d64c959b17a7046b653bed200cebd94.jpg)
Channel
@dwzpf
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Handles named that no longer answer · Cite this entry
10,140subscribers
+3,201 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003697682666 |
|---|---|
| Type | Channel |
| Username | @dwzpf |
| Description | 有问题联系 @danshuinb |
| Created | Between 1 December 2025 and 16 February 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 38 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/dwzpf |
Software piracy — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 13:20 | 10,140 | +20 |
| 10 Nov 2026, 10:18 | 10,120 | -14 |
| 8 Nov 2026, 19:56 | 10,134 | +41 |
| 7 Nov 2026, 15:18 | 10,093 | +23 |
| 6 Nov 2026, 17:39 | 10,070 | +23 |
| 5 Nov 2026, 16:58 | 10,047 | +17 |
| 4 Nov 2026, 19:30 | 10,030 | -6 |
| 3 Nov 2026, 17:16 | 10,036 | -12 |
| 2 Nov 2026, 14:19 | 10,048 | +2 |
| 1 Nov 2026, 13:26 | 10,046 | +2 |
| 31 Oct 2026, 10:28 | 10,044 | +22 |
| 30 Oct 2026, 08:56 | 10,022 | -6 |
| 29 Oct 2026, 08:57 | 10,028 | -2 |
| 28 Oct 2026, 07:10 | 10,030 | -4 |
| 27 Oct 2026, 10:28 | 10,034 | +6 |
| 26 Oct 2026, 06:48 | 10,028 | +106 |
| 23 Oct 2026, 16:10 | 9,922 | +34 |
| 20 Oct 2026, 22:39 | 9,888 | +221 |
| 17 Oct 2026, 23:38 | 9,667 | +141 |
| 15 Oct 2026, 07:49 | 9,526 | first reading |
346 posts held, back to 16 February 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 45 pages of Telegram’s post history, 20 posts per page.
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 13 November 2026 |
|---|---|
| Posts held | 346 (16 February 2026 – 13 November 2026) |
| Views total | 84,051 |
| Reactions total | 4,448 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 23:39 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.
Lifetime counters from Telegram’s own channel header, read 13 November 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.
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.
8,406 reactions across 342 posts, in 29 distinct kinds. The most used accounts for 86.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 7,270 | 86.5% | |
| ❤ | 662 | 7.88% | |
| 🕊 | 112 | 1.33% | |
| 🖕 | 29 | 0.345% | |
| 🤯 | 26 | 0.309% | |
| 👏 | 24 | 0.286% | |
| 🥰 | 23 | 0.274% | |
| 🤔 | 22 | 0.262% | |
| 😍 | 21 | 0.25% | |
| 🤓 | 21 | 0.25% | |
| 👎 | 20 | 0.238% | |
| 🤝 | 20 | 0.238% | |
| 🎉 | 19 | 0.226% | |
| 😁 | 17 | 0.202% | |
| 🔥 | 16 | 0.19% | |
| 😭 | 15 | 0.178% | |
| 😡 | 13 | 0.155% | |
| 😘 | 11 | 0.131% | |
| 🌚 | 9 | 0.107% | |
| 🤬 | 9 | 0.107% | |
| 9 further kinds | 47 | 0.559% |
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 344 of the 346 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 8,406 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 346 most recent posts we hold, published 16 February 2026 to 13 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’s own ‘edited’ marker: 19 of 123 posts held from the last 30 days (15.4%) 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).
新人靠破甲AI手搓出外挂了??? 用户反馈:一套辅助全是用的DeepSeek破甲版制作 免费签到领积分创建的价值 会的自然会 不会的什么都不会 写外挂 代码 脚本 渗透等等都不在话下 【注册机器人免费领取积分 拉人也送积分】
👍13
Signed 玲珑
🔥HERO免费开盒助手🔥 🌈开盒专用🌈 🌈HERO户籍猎手 安装包下载链接 https://wwaqk.lanzoub.com/i7JQI4epmicb 密码:8888 🔨支持免费查询:手机号、身份证、QQ号、微信号、抖音号、银行卡、车牌号、邮箱、贴吧ID、微博ID、钉钉、快手、闲鱼号、小红书、网易云ID、脸书、推特、名下财产、开房记录、IMEI。涵括多元档案信息。支持模糊身份证、手机号补齐,支持全国猎魔/更多功能看软件详情... 🥰官方卡密售卖机器人⬇️⬇️ 👉 @ATC_AutoShop_Bot 👈 注: 最老猎手之一 也是唯一猎手其余仿冒 唯一权威官方频道 t.me/PLCOINP/8
👍35
Signed 全网买管理@ai520i
上古真神葫芦侠回归 葫芦侠独家功能: 刷流量 刷话费 刷各种平台会员 可刷一切 📱快手区:播放量 点赞 关注 评论 🗑抖音区:播放量 点赞 关注 评论 📖QQ区:名片赞 说说赞 😀游戏区:和平 蛋仔 无畏契约王者 三角洲 火影 均可刷点券 有更多功能自己下载体验 🔥其他黑科技:伪装机型 刷qq会员 跳卡网支付 ai脱衣 刷话费等等🎮 网盘下载链接点击下载 密码8888⚠️关闭VPN下载 一次性费用购买后真无限使用 软件已对接18000个不同ip账号 欢迎各位老板前来使用 请勿用与非法途径!!! 点击加入官方频道 认准唯一100k频道其他为假冒
👍59
Signed 全网收管理 @shaoxu
淡雾和体追踪11.4 支持1.39.14 公益卡密 danwu97198884 更新内容 修复已知问题 直装/聊天 danwu.live 福利活动 https://t.me/dwzpf/17191 频道 @DWZPF 反馈 @danshuinb
👍53
Signed 茉莉龙井茶
File, posted without a caption
👍69
Signed 茉莉龙井茶
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👍66🤔1
Signed 全网买管理@ai520i
淡雾和体追踪11.1 支持1.39.14 公益卡密 danwu97198884 更新内容 修复美化无效果 直装/聊天 danwu.live 福利活动 https://t.me/dwzpf/17191 频道 @DWZPF 反馈 @danshuinb
👍66❤1
Signed 茉莉龙井茶
gapp: 0x17B1D608 Matrix: 0x186B92F0 GOUbj: 0x183B6538 LineOfSightTo: 0x12C42628 UpdateVolley: 0xC5E6F54 GetCameraRot: 0xA755B70 和体 仅供开发者使用 频道 @dwzpf
👍48
Signed 茉莉龙井茶
新人靠破甲AI手搓出外挂了??? 用户反馈:一套辅助全是用的DeepSeek破甲版制作 免费签到领积分创建的价值 会的自然会 不会的什么都不会 写外挂 代码 脚本 渗透等等都不在话下 【注册机器人免费领取积分 拉人也送积分】
👍32
Signed 玲珑
上古真神葫芦侠回归 葫芦侠独家功能: 刷流量 刷话费 刷各种平台会员 可刷一切 📱快手区:播放量 点赞 关注 评论 🗑抖音区:播放量 点赞 关注 评论 📖QQ区:名片赞 说说赞 😀游戏区:和平 蛋仔 无畏契约王者 三角洲 火影 均可刷点券 有更多功能自己下载体验 🔥其他黑科技:伪装机型 刷qq会员 跳卡网支付 ai脱衣 刷话费等等🎮 网盘下载链接点击下载 密码8888⚠️关闭VPN下载 一次性费用购买后真无限使用 软件已对接18000个不同ip账号 欢迎各位老板前来使用 请勿用与非法途径!!! 点击加入官方频道 认准唯一100k频道其他为假冒
👍27❤2
Signed 全网收管理 @shaoxu
File, posted without a caption
👍47
Signed 茉莉龙井茶
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👍34
Signed 全网收广 @shaoxu
Showing the 12 most recent of 346 posts we hold for @dwzpf. 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.
@dwzpf edited 7 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
要不要给你公益一段时间 我想看看全是故雪的地铁好打吗(会给所有天卡加时长)
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
是否公益
Shares as published. No per-option vote count is published by Telegram, so none is shown.
哪个名字好听(准备更换🤓)
Shares as published. No per-option vote count is published by Telegram, so none is shown.
是否更新跨进程
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 346 most recent posts we hold, published 16 February 2026 to 13 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 6 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.
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.
@dwzpf named 2 handles 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.
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.
References a handle that is not a live channel — we have no record it ever was one.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“淡雾大家庭[冲15k]” (@dwzpf), 10,140 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/dwzpf.
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.