Video, posted without a caption

Channel
封号基地
@fenghaojidi
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
422subscribers
+111 since we began measuring on 1 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003869613701 |
|---|---|
| Type | Channel |
| Username | @fenghaojidi |
| Created | 18 August 2026 — measured — dated from the channel’s first post |
| First recorded | 1 September 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/fenghaojidi |
Topic
Hacking & security — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 18:41 | 422 | +53 |
| 10 Sept 2026, 15:39 | 369 | +49 |
| 2 Sept 2026, 09:36 | 320 | +9 |
| 1 Sept 2026, 20:15 | 311 | no change |
| 1 Sept 2026, 20:00 | 311 | first reading |
Engagement
15 posts held, back to 18 August 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.06%
- avg views ÷ 422 subscribers
- Avg views / post
- 34.0
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 15 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.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 15 (18 August 2026 – 1 September 2026) |
| Views total | 102 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 20:15 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
- Video runtime
- 18s
- Average length
- 18s
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.
Reaction mix
38 reactions across 11 posts, in 2 distinct kinds. The most used accounts for 92.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 35 | 92.1% | |
| ❤ | 3 | 7.89% |
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 11 of the 15 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 18 August 2026 to 1 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.
Recent posts
频道:https://t.me/fenghaojidi 频道内每天会公益思路火速加入 投稿认准:@zhanqingpybot 投稿的送飞机解冻文本
📱快手强检 文本: 快手客服您好,我实名举报快手用户🆔,该用户严重违反国家法律法规涉嫌发布传播邪教迷信传播赌博色情嫖娼,挑衅国法、毒品售卖、管制刀具、未成年婚恋,对未成年造成严重不良发育和影响,多次展示漏腿、漏脚、大面积暴露,吸烟大面积纹身打架斗殴网络约架等视频吸引未成年争相模仿,引导未成年人私下组建传销诈骗组织教导未成年在平台恶意冒充快手官方进行网络诈骗的严重违规行为,恶意Ai生成快手平台传播虚无主义历史虚假不实谣言,使用翻墙VPN黑入他人账号散播未成年人身份信息,非法手段窃取他人户籍信息等侵害公民合法权益对这些未成年人上的身心健康有严重的危害和影响,这些行为对平台造成了巨大影响,带坏社会治安,扰乱平台秩序,干扰未成年身心健康,不利于未成年人成长,传播不良信息、传递不良导向的内容,诱导未成年人模仿违法行为内容,请平台立即严肃高强度全面检查该账号私密场景,设备行为进行全面检测,履行国家义务及平台规则,坚决抵制不良行为,对该账号进…
QQ打喷蛆 投稿人:@xuluonb 投稿联系:@zhanqingpybot 认准频道:https://t.me/NYnb88667
👍5
快手外挂 投稿人:@QN6672 投稿联系:@zhanqingpybot
👍4
频道内准备更新思路了
👍3
快手台球 投稿人:@XYT0520 投稿联系:@zhanqingpybot
👍4
兄弟们晚安 七夕节快乐!
👍3❤2
频道内发布了大量快手QQ微信小红书平台的思路火速加入领取认准频道 频道:https://t.me/fenghaojidi 频道:https://t.me/fenghaojidi 频道:https://t.me/fenghaojidi
👍3
快手外挂思路 投稿人:匿名 投稿联系:@zhanqingpybot
👍4
同城混的人 投稿人:@jeet633 投稿联系:@zhanqingpybot
👍2
快手强检本 投稿人:匿名 投稿联系:@zhanqingpybot
👍2
Showing the 12 most recent of 15 posts we hold for @fenghaojidi. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“封号基地” (@fenghaojidi), 422 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/fenghaojidi.
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.