谨慎使用VPN,国区App Store的一款VPN客户端,公司注册地址为: 深圳市福田区梅林街道梅都社区公安街3号干警宿舍楼208A https://apps.apple.com/cn/app/%E5%A4%A9%E8%A1%A3/id6768071550
🤡79❤10
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.

Channel
@Simplified_Chinese
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
53,952subscribers
-2,376 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001443855589 |
|---|---|
| Type | Channel |
| Username | @Simplified_Chinese |
| Description | Telegram简体中文语言包分发平台 Telegram Simplified Chinese Language Pack Distribution Channel |
| Created | Between 1 April 2019 and 24 December 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/Simplified_Chinese |
Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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 |
|---|---|---|
| 27 Sept 2026, 13:38 | 53,952 | -612 |
| 17 Sept 2026, 14:16 | 54,564 | -69 |
| 15 Sept 2026, 15:39 | 54,633 | -99 |
| 13 Sept 2026, 20:37 | 54,732 | -72 |
| 12 Sept 2026, 05:37 | 54,804 | -105 |
| 9 Sept 2026, 19:59 | 54,909 | -138 |
| 6 Sept 2026, 10:40 | 55,047 | -98 |
| 4 Sept 2026, 05:42 | 55,145 | -44 |
| 2 Sept 2026, 17:43 | 55,189 | -40 |
| 1 Sept 2026, 19:14 | 55,229 | -83 |
| 31 Aug 2026, 21:05 | 55,312 | -41 |
| 30 Aug 2026, 22:14 | 55,353 | -47 |
| 29 Aug 2026, 23:15 | 55,400 | -67 |
| 28 Aug 2026, 19:43 | 55,467 | -87 |
| 27 Aug 2026, 19:07 | 55,554 | -15 |
| 26 Aug 2026, 21:53 | 55,569 | -37 |
| 26 Aug 2026, 00:03 | 55,606 | -21 |
| 25 Aug 2026, 02:32 | 55,627 | -76 |
| 23 Aug 2026, 18:55 | 55,703 | -68 |
| 22 Aug 2026, 00:46 | 55,771 | first reading |
18 posts held, back to 24 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 118 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 23 September 2026 |
|---|---|
| Posts held | 18 (24 December 2020 – 23 September 2026) |
| Views total | 6,410 |
| Reactions total | 89 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 20:06 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 2 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.
3,580 reactions across 18 posts, in 16 distinct kinds. The most used accounts for 47.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,705 | 47.6% | |
| 👍 | 1,335 | 37.3% | |
| 🔥 | 95 | 2.65% | |
| 👎 | 83 | 2.32% | |
| 😁 | 83 | 2.32% | |
| 👏 | 82 | 2.29% | |
| 🤡 | 79 | 2.21% | |
| 🥰 | 46 | 1.28% | |
| 😱 | 22 | 0.615% | |
| 🤩 | 16 | 0.447% | |
| 🤯 | 13 | 0.363% | |
| 💩 | 11 | 0.307% | |
| 🍾 | 4 | 0.112% | |
| 🌚 | 2 | 0.056% | |
| 🤔 | 2 | 0.056% | |
| 🤬 | 2 | 0.056% |
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 18 of the 18 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 3,580 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 24 December 2020 to 23 September 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.
谨慎使用VPN,国区App Store的一款VPN客户端,公司注册地址为: 深圳市福田区梅林街道梅都社区公安街3号干警宿舍楼208A https://apps.apple.com/cn/app/%E5%A4%A9%E8%A1%A3/id6768071550
🤡79❤10
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
#互联网观察 ▎Proton 调查 7000 多款 VPN App:85% 含追踪器,部分甚至收集 GPS 位置 Proton VPN 发布了一份针对移动 VPN 应用的调查:在对全球 7000 多款 VPN App 进行数月分析后,其发现美国市场样本中约 85% 的 VPN 应用包含追踪器,其中 64 款还会主动收集 GPS 等物理位置信息。 调查还显示,美国 App Store 和 Google Play 中有 64 款 VPN 由中国公司拥有,其中 31 款通过注册在新加坡、香港、英国等地的公司结构隐藏实际所有权。Proton 称,这些应用在 2026 年 6 月的下载量超过 300 万次。 追踪内容可能包括设备 ID、设备型号、网络类型、运营商信息以及位置数据。部分 VPN 内置的追踪组件还会将数据发送至中国、俄罗斯、以色列及“五眼联盟”国家。 Proton 同时将矛头指向 Apple 和 Google,认为应…
❤17👍3
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
2ximg - 使用人工智能深度卷积神经网络在线免费放大图片 https://2ximg.com/?rid=3013 #放大图片 #图片放大
❤4🌚2
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
如果iOS的telegram提示更新,但是点击更新又提示已下架。 ❌不要在桌面长按图标卸载重新下载,否则使用中国+86手机号登录的可能会收不到短信验证码。 ✅进入手机的『设置』——『iPhone 存储空间』——『Telegram』 ——『卸载app』(不是删除app)。之后在AppStore 中登录共享id重新下载Telegram即可。 这样操作可以保留数据,不需要重新登录telegram账号。
❤103👍37🔥5🥰5😁4
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
ClashX:macOS可用。 代理协议: 支持 Shadowsocks (SS), SOCKS5, V2Ray (VMess, VLESS), Trojan, Snell等。
❤94👍8👎1
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
社工库推荐 情报局社工库: https://t.me/QingBaoJuXWsgkbot?start=MTQ5OTkyODI3MQ== 暗精灵社工库: https://t.me/tianyanSGKbot?start=MTQ5OTkyODI3MQ== https://t.me/AJL05_bot?start=1499928271 https://t.me/Yunchacha_bot?start=PSAAAQZQYP
❤45🔥4😁3
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
⚠️盗号老套路了,遇到不明链接不要乱点。 telegram没有所谓的安全中心,也没有什么辅助解封的功能。不要点击陌生链接,凡是要验证码和截图的一律是诈骗行为,请不要向陌生人发送任何截图和验证码。
❤372👍259👎13👏12😁11🥰6🍾4
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
又又又又又有人因为发截图被盗号了! ⚠️各位,我再再再再再提醒一遍,请开启两步验证,以及不要给任何人发截图!不要帮别人辅助验证什么的!两步验证的密码不要透露给任何人! ⚠️再提醒一遍,请开启小飞机的两步验证,以及不要给任何人发截图!不要帮别人辅助验证什么的!因为小飞机根本就没有辅助验证什么的功能,两步验证的密码不要透露给任何人! ⚠️凡是以任何理由要求你们发送小飞机截图的都是盗号行为(截图里有登陆验证码),无论是陌生人还是亲戚朋友请不要给任何人发送小飞机截图。特别是小飞机首页的截图!要截图的只有盗号的。 ⚠️不会开启两步验证的请看上面的信息。https://t.me/Simplified_Chinese/25
❤183👍92💩11🥰9👎6
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
#互联网观察 #Telegram ▎再次警惕:Telegram新型骗局 APPDO注意到,目前Telegram盗号骗局进一步扩大,多名推主被盗号、骗钱,最高多达10万人民币。 请警惕你的熟人好友被盗号后,向你进行所谓的“好友辅助解封”!!! TG不存在所谓的“好友辅助解封”,请不要相信此类骗局,更不要发送任何截图、登录验证码、使用任何未知bot!!! ▎骗局复盘 新版骗局不在要求发送截图,而是要求你使用TG机器人进行所谓的“解封操作” ▎安全要点 请设置二次验证密码 请设置手机号对任何人不可见 之前的骗局:https://t.me/AppDoDo/460 频道 @AppDoDo
❤113👍110😁5👎4
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
盗号事件分析: 😈骗子首先会模仿你的朋友(或是已经盗了你朋友的号),谎称你的另一个号在问他借钱等等各种理由,要求你截图给他看。 对方会先把自己的首页截图给你看,截图里也有一个跟你名字和头像一模一样的号(其实那是开启了加密聊天多出来的对话,是正常的,是骗子故意诈你的)。 实际上骗子此时正在登录你的手机号!如上图一所示,登录时的验证码已经发到你的tg上,也就是你的首页里就有显示验证码,当你按骗子的要求把截图发给ta的时候,也就泄露了验证码,这就是骗子的真实企图! 如何保证自己的账号安全: ❗️❗️不要随意把小飞机的内容截图发给别人,特别是首页截图,一定要看清楚截图里面可能会泄露的内容。 ❗️❗️开启两步验证,之前的文章里面有讲。 可能有的后续: 😱如果不小心把截图发给了骗子,但是你之前已经开启了两步验证,骗子登录失败,出于报复心理,可能就想要重置(注销)你的账号。 telegram服务会给你发信息进行提示,如图二所示,如果…
👍90❤75👏4😁4👎2
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
近期发现有很多人的号被“他人”登录了(可能通过拦截运营商的验证码登录)。 如何鉴别有没有被别人登录:进入app的 [设置]-[登录设备],里面看看有没有陌生设备,一般各位只有一部手机一台电脑登录,如果出现陌生设备,要及时踢出去。 为了安全,各位可以在 [设置]-[隐私与安全]中开启[两步验证]。 两步验证的密码一定要设置为别人不容易猜到自己又能记住的,一旦自己忘了,以后也无法登录只能注销这个账号了。各位请切记。 https://telegra.ph/Telegram-新手必调设置-07-02
❤37👍37😱10👏1
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
https://telegra.ph/致敬为民生和社会灾难发声的人-11-28
👍37❤9🔥5👏1
Signed 𝒟𝒶𝓋𝒾𝒹 ℒℯℯ 🥷 ℳ𝓇.
Showing the 12 most recent of 18 posts we hold for @Simplified_Chinese. 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.
@Simplified_Chinese edited 2 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.
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 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.
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.
@Simplified_Chinese 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.
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“Telegram简体中文语言包” (@Simplified_Chinese), 53,952 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/Simplified_Chinese.
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.