➡️ 搜片机器人 ⬅️ ➡️ 搜群组机器人 ⬅️ ➡️ 搜频道机器人 ⬅️ ➡️ 全网搜索机器人 ⬅️ ➡️ 中文索引搜索 ⬅️
❤7

Channel
@sifanghub
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
6,365subscribers
-308 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002190198329 |
|---|---|
| Type | Channel |
| Username | @sifanghub |
| Created | 9 August 2024 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 30 September 2026 |
| On Telegram | t.me/sifanghub |
Adult — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 30 Sept 2026, 03:01 | 6,365 | -394 |
| 15 Sept 2026, 21:58 | 6,759 | -77 |
| 12 Sept 2026, 15:01 | 6,836 | -193 |
| 8 Sept 2026, 11:36 | 7,029 | -226 |
| 3 Sept 2026, 13:41 | 7,255 | -107 |
| 31 Aug 2026, 13:28 | 7,362 | -16 |
| 28 Aug 2026, 03:43 | 7,378 | +103 |
| 24 Aug 2026, 22:04 | 7,275 | -60 |
| 21 Aug 2026, 01:13 | 7,335 | +33 |
| 17 Aug 2026, 16:28 | 7,302 | +100 |
| 14 Aug 2026, 16:28 | 7,202 | +295 |
| 10 Aug 2026, 20:36 | 6,907 | +171 |
| 8 Aug 2026, 04:52 | 6,736 | +63 |
| 7 Aug 2026, 13:17 | 6,673 | first reading |
18 posts held, back to 9 August 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 13 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 11 April 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
214 reactions across 16 posts, in 9 distinct kinds. The most used accounts for 56.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 121 | 56.5% | |
| 👍 | 41 | 19.2% | |
| 👎 | 15 | 7.01% | |
| 🤮 | 13 | 6.07% | |
| 💩 | 12 | 5.61% | |
| 🔥 | 6 | 2.80% | |
| 🥰 | 4 | 1.87% | |
| 🍾 | 1 | 0.467% | |
| 🤔 | 1 | 0.467% |
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 17 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 214 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 9 August 2024 to 11 April 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.
➡️ 搜片机器人 ⬅️ ➡️ 搜群组机器人 ⬅️ ➡️ 搜频道机器人 ⬅️ ➡️ 全网搜索机器人 ⬅️ ➡️ 中文索引搜索 ⬅️
❤7
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❤38👍6🔥2
💥 更多精彩福利频道即将公开!
👎4💩2🤮2❤1
📣 请各位务必订阅本频道,防止以后主频道被封禁,导致失联!
🤮4❤3👎2💩1
✉️ 呼叫管理员:@myqianer_bot
👎3❤2💩2🤮1
私房资源福利 🫦点击加入:https://t.me/sexcunhua
👍7💩7❤6👎6🤮6🔥1
➡️ 搜片机器人 ⬅️ ➡️ 搜群组机器人 ⬅️ ➡️ 搜频道机器人 ⬅️ ➡️ 全网搜索机器人 ⬅️ ➡️ 中文索引搜索 ⬅️
👍6❤2
‼️解除敏感限制 https://web.telegram.org 浏览器打开官网 登陆账号 (验证码 在app内查收) 成功登入Telegram 网页版后,点选左上角“选单”按钮 👉 点选“Settings” 👉 Privacy and Security 👉 Sensitive Content 👉 开启Disable filtering √ 👉 重启app 重新加群
❤1
Telegram 客户端内直接点击链接更改语言: * 简体中文(聪聪):tg://setlanguage?lang=zhcncc * 简体中文:tg://setlanguage?lang=zh-hans-raw * 简体中文(@zh_CN 版):tg://setlanguage?lang=classic-zh-cn * 简体中文(langCN):tg://setlanguage?lang=zhlangcn * 简体中文(瓜体):tg://setlanguage?lang=duang-zh-cn * 繁体中文(香港):tg://setlanguage?lang=zh-hant-raw * 繁体中文(台湾):tg://setlanguage?lang=taiwan * 英文:tg://setlanguage?lang=en
❤5👍4🥰1
ios客户端被限制看色情频道与群组 用手机解决方法 Telegram web网页版链接: https://web.telegram.org/ ⚡️操作: 登录WEB网页版后 ➊点击「Settings/设置」 ➋把 Show Sensitive Content 打开 ➌重启 iOS 客户端即可。 或者 登录PC客户端,下载地址: https://desktop.telegram.org ➊点击「Settings/设置」 ➋点击「Privacy and Security/隐私与安全」 ➌找到「Sensitive content/敏感内容」 ➍ 打开「Disable filtering/停止过滤」选项 ➎重启 iOS 客户端即可。 如果还是不行,请更新你的Nicegram或使用官方Telegram
❤7🥰1
苹果手机解除敏感信息屏蔽方法: ➊手机Safari登录 web.telegram.org ➋点击「Settings」 ➌勾选「Show Sensitive Content」 ➍重启 iOS telegram客户端即可
解除 Telegram 对 +86 大陆手机号绑定账户的 私聊限制 的办法 📝 向官方 @SpamBot 发送消息申请(跟着提示操作就行) — 前两步操作是点击下方选项, 不是输入内容, 第三步才是输入内容发送 — 大约30分钟左右即可解除限制,有可能更长 — 30分钟左右还未解除的就继续等等或再次提交 — Bot不会回复你结果, 自己找人私聊测试
❤6
Showing the 12 most recent of 18 posts we hold for @sifanghub. 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.
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.
@sifanghub named 6 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.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“私房中转站” (@sifanghub), 6,365 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/sifanghub.
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.