不好意思4.0刚上传
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Channel
@MDL8888
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
26,905subscribers
+1,811 since we began measuring on 5 September 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002489598555 |
|---|---|
| Type | Channel |
| Username | @MDL8888 |
| Description | 无论任何人下载本人/本人频道/本人群聊内所发的全部文件皆请在24小时内必须删除!谢谢您的配合,如不删除则请你自行承担全部责任,如你下载了文件则默认同意该规则。 ☆全版本公告声明☆ 本系列作品仅供学习研究,使用者的任何行为与应用作者无关,请在24小时内删除本应用[下载代表同意本协议] 若有侵权违法行为,请联系我方删除内容🤝 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 5 September 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/MDL8888 |
Gaming — 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 26 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 16:20 | 26,905 | +511 |
| 26 Sept 2026, 12:54 | 26,394 | +484 |
| 19 Sept 2026, 11:00 | 25,910 | +111 |
| 16 Sept 2026, 20:55 | 25,799 | +31 |
| 14 Sept 2026, 20:58 | 25,768 | +81 |
| 13 Sept 2026, 06:38 | 25,687 | +308 |
| 11 Sept 2026, 11:57 | 25,379 | +46 |
| 8 Sept 2026, 16:39 | 25,333 | +239 |
| 5 Sept 2026, 11:22 | 25,094 | first reading |
54 posts held, back to 2 September 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 23 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 5 October 2026 |
|---|---|
| Posts held | 54 (2 September 2026 – 5 October 2026) |
| Views total | 85,455 |
| Reactions total | 1,425 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Oct 2026, 17:26 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 5 October 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 2 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.
1,510 reactions across 53 posts, in 30 distinct kinds. The most used accounts for 74.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,129 | 74.8% | |
| ❤ | 146 | 9.67% | |
| 🤣 | 79 | 5.23% | |
| 🫡 | 22 | 1.46% | |
| 😱 | 21 | 1.39% | |
| 🍌 | 16 | 1.06% | |
| 😍 | 15 | 0.993% | |
| 🥰 | 10 | 0.662% | |
| 🌭 | 8 | 0.53% | |
| 🍾 | 8 | 0.53% | |
| 🤯 | 8 | 0.53% | |
| 👏 | 5 | 0.331% | |
| 🔥 | 5 | 0.331% | |
| 😁 | 5 | 0.331% | |
| 👀 | 4 | 0.265% | |
| 🤔 | 4 | 0.265% | |
| 🆒 | 3 | 0.199% | |
| 💯 | 3 | 0.199% | |
| 🌚 | 2 | 0.132% | |
| 👾 | 2 | 0.132% | |
| 10 further kinds | 15 | 0.993% |
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 53 of the 54 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 1,510 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 2 September 2026 to 5 October 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.
不好意思4.0刚上传
👍32❤2🍌1😍1
无畏契约新增解绑地址 置顶自己看,每次解绑扣三小时,天卡只能解绑一次 解绑一次扣三小时 周卡解绑七次,解绑一次扣三小时
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👍26❤1🍌1😍1
🎮火锅香肠直装2.0[正试服] 🔧更新内容如下: 😄增加击杀音效 😄修复距离显示 😄修复自瞄配置 😄优化按钮音效 😄增加人机昵称 😄修复敌背绘制 📥2.0版本下载链接 https://1815958093.share.123pan.cn/123pan/08NLVv-YTJsh 🌟卡密 👉787878 ‼️不反馈不推广直接关服务器 😸反馈/问题👉@ycxzsd 💩观看稳定性👉@hphgyyds886
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👍28❤3
明天没有香肠和无畏还有和平反馈 🌟反馈=领卡 😡没有反馈=退网 各种各样的表情包一个测试一下活跃度
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🎮和平火锅容器4.0正式发布 更新内容: 😄解决人多卡顿掉帧问题 😄解决大厅三方问题 😄解决局内三方问题 😄优化过猎鹰标记写法 😄增加触摸调试自瞄 😄增加火锅同行绘制 😄增加地铁经典观透 ⚠️下载链接 https://1815958093.share.123pan.cn/123pan/08NLVv-VTysh ❤️和平赞助网站 https://new.818fka.com/shop/ANDEZXED ⚠️自瞄问题注意事项 https://t.me/MDL8888/9859 🌟一花和平拦截[防十年 三方 ] https://t.me/DNFMY9/8445 👊反馈十张或者可以直播的送天卡 🎮反馈/直播员 @ycxzsd 🗃️观看火锅稳定性 @hphgyyds886
👍29❤2
不是这个这么稳定,你们反馈又不是不给你们加时,做活动领卡又不是不给你们
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Signed nznn
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Signed 神秘黑客886
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Showing the 12 most recent of 54 posts we hold for @MDL8888. 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.
@MDL8888 edited 12 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.
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.
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.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“火锅官方频道” (@MDL8888), 26,905 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/MDL8888.
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.