我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍22
Signed 全网收质量频道 @adggku

Channel
@xiaoyyds6
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
14,679subscribers
+784 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002474629403 |
|---|---|
| Type | Channel |
| Username | @xiaoyyds6 |
| Description | 🥰🥰您的支持是我最大的动力 文件官方频道 @xxsjk511 交流群 @XXYYDS794 小晓本人 @XXYYDS888 @XXYYDS511bot 模块内透/范围频道 @safewh520 反馈频道 @xxsjk521 广告自行辨识 与本人无关😏 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 58 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/xiaoyyds6 |
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 53% 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 |
|---|---|---|
| 6 Nov 2026, 04:58 | 14,679 | -9 |
| 5 Nov 2026, 02:57 | 14,688 | -21 |
| 4 Nov 2026, 00:05 | 14,709 | -17 |
| 2 Nov 2026, 23:19 | 14,726 | -1 |
| 1 Nov 2026, 19:58 | 14,727 | -7 |
| 31 Oct 2026, 18:48 | 14,734 | +18 |
| 30 Oct 2026, 19:47 | 14,716 | +11 |
| 29 Oct 2026, 21:37 | 14,705 | -10 |
| 28 Oct 2026, 20:19 | 14,715 | -4 |
| 27 Oct 2026, 22:15 | 14,719 | -5 |
| 26 Oct 2026, 21:27 | 14,724 | +3 |
| 25 Oct 2026, 20:10 | 14,721 | +42 |
| 24 Oct 2026, 18:47 | 14,679 | -5 |
| 23 Oct 2026, 21:47 | 14,684 | +29 |
| 22 Oct 2026, 23:47 | 14,655 | -20 |
| 21 Oct 2026, 22:45 | 14,675 | -21 |
| 20 Oct 2026, 18:08 | 14,696 | -11 |
| 19 Oct 2026, 19:06 | 14,707 | -3 |
| 18 Oct 2026, 20:08 | 14,710 | +2 |
| 17 Oct 2026, 18:50 | 14,708 | first reading |
206 posts held, back to 28 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 59 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 6 November 2026 |
|---|---|
| Posts held | 206 (28 July 2026 – 6 November 2026) |
| Views total | 21,537 |
| Reactions total | 446 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 08:34 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 6 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 7 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.
1,497 reactions across 181 posts, in 17 distinct kinds. The most used accounts for 85.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,279 | 85.4% | |
| ❤ | 143 | 9.55% | |
| 🔥 | 21 | 1.40% | |
| 🤡 | 11 | 0.735% | |
| 🤬 | 8 | 0.534% | |
| 🤓 | 7 | 0.468% | |
| 😁 | 5 | 0.334% | |
| 👎 | 4 | 0.267% | |
| 🤣 | 4 | 0.267% | |
| 😍 | 3 | 0.2% | |
| 🥰 | 3 | 0.2% | |
| 🍌 | 2 | 0.134% | |
| 🕊 | 2 | 0.134% | |
| 🤨 | 2 | 0.134% | |
| 🐳 | 1 | 0.067% | |
| 👾 | 1 | 0.067% | |
| 🤔 | 1 | 0.067% |
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 185 of the 206 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 1,497 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 206 most recent posts we hold, published 28 July 2026 to 6 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: 5 of 23 posts held from the last 30 days (21.7%) 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).
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍22
Signed 全网收质量频道 @adggku
💸黎明黑盒5.0正式发布 · 全网独家 🔍 核心功能 ⬇️手机号定位 ⬇️身份证正反 ⬇️ 支付宝码反 ⬇️全家户籍 ❄️补齐身份证 ❄️精准猎魔 ❄️个人大头 ❄️ai脱衣 🛡手机反户籍 🛡酒店摄像直播 🛡微反三件套 🛡照片人脸反 🖥刑侦全户 🖥抖音去水印 🖥短信轰炸 🖥电话轰炸 📱无违规永久思路 🛰️无违规概率永久思路 🆕 新增几个功能:三角洲每日密码,顶级补齐,开房查询,口令反户,抖音反户...... 等 几百种功能 更快 · 更清晰 · 更稳定 🔽获取软件卡密机器人🔽 @limingyyds_bot @limingyyds_bot @limingyyds_bot @limingyyds_bot
👍19❤1
此频道已经被官方盯上了.即将停止使用.点击下面蓝色字体进入新频道更新⬇️⬇️ 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道
👍6
Signed 全网收质量频道 @adggku
💸黎明黑盒5.0正式发布 · 全网独家 🔍 核心功能 ⬇️手机号定位 ⬇️身份证正反 ⬇️ 支付宝码反 ⬇️全家户籍 ❄️补齐身份证 ❄️精准猎魔 ❄️个人大头 ❄️ai脱衣 🛡手机反户籍 🛡酒店摄像直播 🛡微反三件套 🛡照片人脸反 🖥刑侦全户 🖥抖音去水印 🖥短信轰炸 🖥电话轰炸 📱无违规永久思路 🛰️无违规概率永久思路 🆕 新增几个功能:三角洲每日密码,顶级补齐,开房查询,口令反户,抖音反户...... 等 几百种功能 更快 · 更清晰 · 更稳定 🔽获取软件卡密机器人🔽 @limingyyds_bot @limingyyds_bot @limingyyds_bot @limingyyds_bot
👍16
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍7
Signed 全网收质量频道 @adggku
😇黎明黑盒4.0-免费开盒猎手✨ 🔘全网独一家添加超3000+Api数据接口的猎手 🌟支持一下信息一键开户出道: 手机号、身份证、QQ号、微信号、快手号、抖音号、银行卡、车牌号、邮箱、贴吧ID、微博ID、闲鱼号、网易云ID、钉钉、脸书、推特、TG号、TikTok、YouTube、IMEI等社交账号一键反户籍。 搭载26年最新独家信息库,二要素/三要素核对,支持模糊手机号补齐,电话/短信轰炸,网络站点批量攻击,一键下号/FH,利用漏洞刷各类App会员/等级,破解外挂卡密弹窗,一键生成照妖镜,手机号精准定位,精准全国猎魔,Ai一键脱衣换脸,支持全国猎魔等独家功能 🔽获取软件卡密机器人🔽 @limingyyds_bot @limingyyds_bot @limingyyds_bot @limingyyds_bot 🥰24小时自动发卡 ------------ 官方售后客服 @xbm945 官方售后客服 @xbm…
👍19❤1🤬1
此频道已经被官方盯上了.即将停止使用.点击下面蓝色字体进入新频道更新⬇️⬇️ 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道
👍2
Signed 全网收质量频道 @adggku
😇黎明黑盒4.0-免费开盒猎手✨ 🔘全网独一家添加超3000+Api数据接口的猎手 🌟支持一下信息一键开户出道: 手机号、身份证、QQ号、微信号、快手号、抖音号、银行卡、车牌号、邮箱、贴吧ID、微博ID、闲鱼号、网易云ID、钉钉、脸书、推特、TG号、TikTok、YouTube、IMEI等社交账号一键反户籍。 搭载26年最新独家信息库,二要素/三要素核对,支持模糊手机号补齐,电话/短信轰炸,网络站点批量攻击,一键下号/FH,利用漏洞刷各类App会员/等级,破解外挂卡密弹窗,一键生成照妖镜,手机号精准定位,精准全国猎魔,Ai一键脱衣换脸,支持全国猎魔等独家功能 🔽获取软件卡密机器人🔽 @limingyyds_bot @limingyyds_bot @limingyyds_bot @limingyyds_bot 🥰24小时自动发卡 ------------ 官方售后客服 @xbm945 官方售后客服 @xbm…
👍24❤2
此频道已经被官方盯上了.即将停止使用.点击下面蓝色字体进入新频道更新⬇️⬇️ 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道
👍12
Signed 全网收质量频道 @adggku
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍3❤1
Signed 全网收质量频道 @adggku
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍5
Signed 全网收质量频道 @adggku
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍7
Signed 全网收质量频道 @adggku
Showing the 12 most recent of 206 posts we hold for @xiaoyyds6. 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.
We recorded 8 posts on @xiaoyyds6 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.
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 3 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.
@xiaoyyds6 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“小晓内透主频道『置顶』” (@xiaoyyds6), 14,679 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/xiaoyyds6.
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.