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Channel
FFQ Cloud 订阅|id分享中心
@ffqidfx
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
8,267subscribers
+1,700 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002517393894 |
|---|---|
| Type | Channel |
| Username | @ffqidfx |
| Description | 机场推荐 测评,id分享 订阅分享 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/ffqidfx |
Topic
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 14:49 | 8,267 | +158 |
| 5 Nov 2026, 04:11 | 8,109 | +146 |
| 2 Nov 2026, 04:58 | 7,963 | +71 |
| 30 Oct 2026, 02:19 | 7,892 | +54 |
| 27 Oct 2026, 07:51 | 7,838 | +56 |
| 24 Oct 2026, 13:09 | 7,782 | +100 |
| 21 Oct 2026, 13:10 | 7,682 | +71 |
| 18 Oct 2026, 18:01 | 7,611 | +81 |
| 15 Oct 2026, 12:06 | 7,530 | +94 |
| 12 Oct 2026, 14:48 | 7,436 | +259 |
| 5 Oct 2026, 18:18 | 7,177 | +148 |
| 28 Sept 2026, 11:38 | 7,029 | +161 |
| 18 Sept 2026, 16:57 | 6,868 | +50 |
| 14 Sept 2026, 17:55 | 6,818 | +68 |
| 11 Sept 2026, 11:41 | 6,750 | +13 |
| 6 Sept 2026, 18:21 | 6,737 | +9 |
| 2 Sept 2026, 07:53 | 6,728 | +14 |
| 30 Aug 2026, 02:04 | 6,714 | +27 |
| 27 Aug 2026, 06:27 | 6,687 | +7 |
| 24 Aug 2026, 15:16 | 6,680 | first reading |
Engagement
60 posts held, back to 27 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 20 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 10.2%
- avg views ÷ 8,267 subscribers
- Avg views / post
- 840
- 28 posts measured
- Reaction rate
- 0.125%
- reactions ÷ views · ER floor
- Posts in window
- 28
- of 60 held
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. It is computed over the 17 of 28 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 60 (27 July 2026 – 11 November 2026) |
| Views total | 23,518 |
| Reactions total | 19 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 13:21 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.
What this channel posts
- Photos
- 5
- Links
- 497
Lifetime counters from Telegram’s own channel header, read 11 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.
Reaction mix
62 reactions across 32 posts, in 2 distinct kinds. The most used accounts for 61.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 38 | 61.3% | |
| 👍 | 24 | 38.7% |
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 43 of the 60 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 62 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 27 July 2026 to 11 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.
Recent posts
Telegram’s own ‘edited’ marker: 6 of 28 posts held from the last 30 days (21.4%) 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).
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❤1
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❤1
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👍1
🎉 频道福利已发放! 🔑 关键词:0 - 🆓 免费 💡 使用方法: • 私聊机器人 @sviplinkbot 发送 /ls 0 • 👉 点击这里直接领取 订阅链接: 🔗 点击这里获取订阅链接 流量详情: 25.40 GB / 400.00 GB 使用进度: ✦✧✧✧✧✧✧✧✧✧ 6.4% 剩余可用: 374.60 GB 过期时间: 2027/6/2 00:00:00 (剩余212天) 协议类型: AnyTLS, Hysteria2 节点总数: 22 | 国家/地区: 6 覆盖范围: 香港, 日本, 越南, 台湾, 新加坡, 韩国 #免费节点 #小火箭节点 #机场 #vpn #订阅 #clash节点 #v2ray节点 #科学上网
👍4❤1
Showing the 12 most recent of 60 posts we hold for @ffqidfx. 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.
Mentions
Named by 16 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.
@CNSmydream · 14,5916 postsAppinn Feed|小众软件
@appinnfeed · 34,9585 posts朱颜别镜 | 妹子图 | 美女图
@meizitu3 · 51,4285 posts浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 54,7035 posts115影视资源分享频道
@QukanMovie · 32,9514 postsNaruto 频道推荐 👍👍👍
@AChansp · 24,1092 posts不是白嫖,这叫借鉴(备用)
@baipiaou · 37,7612 posts便宜机场测速
@cheap_proxy · 26,2942 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 39,0502 posts小声逼逼
@me888888888888 · 53,2872 posts折腾啥
@zhetengsha · 53,8302 posts大聪明 破解软件分享频道
@dcmpj · 40,7911 post爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 10,6641 post🐾东萝东萝教教教🐾
@Loli_File · 12,0651 post App Store 限免应用 & ...
@ooapps · 12,0481 post小众机场测评
@sstrojan · 24,2051 post
Names
Channels on the register whose handles appear in this channel's posts.
@ASMR86866 · 31,6033 posts朱颜别镜 | 妹子图 | 美女图
@meizitu3 · 51,4283 posts App Store 限免应用 & ...
@ooapps · 12,0483 postsAppinn Feed|小众软件
@appinnfeed · 34,9582 postsFFQ 机场 | 订阅 ID分享中心logs
@aptupdeta · 1082 posts币圈快讯
@btcnewsdaily · 5,0282 posts小声逼逼
@me888888888888 · 53,2872 posts浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 54,7032 posts115影视资源分享频道
@QukanMovie · 32,9512 posts资源分享客栈-Applnn
@zyfxlnn · 33,5602 postsAPPDO的互联网记忆
@appdopic · 16,9621 post来一点医学科学前沿🤯🤯🥹🥹
@CNSmydream · 14,5911 post公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 39,0501 post安卓软件游戏破解资源分享
@rjyxfx · 41,2711 post书墨资源
@shumozy · 21,4351 post小众机场测评
@sstrojan · 24,2051 post万卷书屋/小说推荐/禁忌书屋
@wanjsw · 254,5651 post观影视界[GyWEB]
@WFYSFX03 · 7,3181 post日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 25,4211 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@ffqidfx 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.
Evidenced gone
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.
named in 1 post, 13 August 2026 – 13 August 2026 · confirmed gone 13 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Cite this entry
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“FFQ Cloud 订阅|id分享中心” (@ffqidfx), 8,267 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/ffqidfx.
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.