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Channel

奇异社区

@aaaaaaaaaaaaaaaaaaaaaaaaaaaaaad

On this record: Topic · Previous handles · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

4,111subscribers

+3,967 since we began measuring on 28 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004395026821
TypeChannel
Username@aaaaaaaaaaaaaaaaaaaaaaaaaaaaaad
Created28 August 2026 — measured — dated from the channel’s first post
First recorded28 August 2026
Last confirmed live15 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/aaaaaaaaaaaaaaaaaaaaaaaaaaaaaad

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 14 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.

Previous handles

@aaaaaaaaaaaaaaaaaaaaaaaaaaaaaad was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@QIYIfengye
held 28 August 2026 – 28 August 2026

Growth

1444,1112,127.528 August 2026 — 144 subscribers29 August 2026 — 232 subscribers5 September 2026 — 376 subscribers14 September 2026 — 4,108 subscribers15 September 2026 — 4,111 subscribers28 August 202615 September 2026
5 measurements spanning 18 days, net +3,967. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 16:574,111+3
14 Sept 2026, 15:224,108+3,732
5 Sept 2026, 13:22376+144
29 Aug 2026, 04:16232+88
28 Aug 2026, 10:15144first reading

Engagement

31 posts held, back to 28 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 2 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.12%
avg views ÷ 4,111 subscribers
Avg views / post
252
26 posts measured
Reaction rate
1.29%
reactions ÷ views · ER floor
Posts in window
31
of 31 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 18 of 26 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 September 2026
Posts held31 (28 August 2026 – 14 September 2026)
Views total6,544
Reactions total62
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Sept 2026, 15:22 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.

Reaction mix

62 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 46.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2946.8%
🔥1016.1%
💩914.5%
❤58.06%
👏46.45%
🤩23.23%
🆒11.61%
👎11.61%
🥰11.61%

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 31 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 31 most recent posts we hold, published 28 August 2026 to 14 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

14 Sept 2026, 12:37 UTC108 viewsread 14 September 2026
File

https://open.bigmodel.cn 实名认证抓tk ——苏格兰

13 Sept 2026, 12:43 UTC219 views2 reactionsread 14 September 2026
Photo

http://218.201.174.248:2012/ 密码 Yc123456 用户名 sfz 全国部分地区心理测评 心理测试强登别人都填坏的能影响到学籍 例 韩熙楷 37148220100909005X ——热心网友

❤2

13 Sept 2026, 09:48 UTC245 views1 reactionsread 14 September 2026
File

湖南模糊常用 手动输入验证码 --island ——热心网友

👍1

13 Sept 2026, 05:47 UTC288 views10 reactionsread 14 September 2026
File

奇异社区: 成人源33万部+综合影视13 万部实时更新,完全免费安全无后门,纯福利 源码可查

👍5👏3👎1🥰1

13 Sept 2026, 04:56 UTC304 views4 reactionsread 14 September 2026

目前150通过/12失败 已经实测打掉一个频道 最早做封禁bot的老牌要回归了

🤩2👍1👏1

13 Sept 2026, 04:14 UTC308 views3 reactionsread 14 September 2026
File

上海一网通办 找回密码 模糊常用号 手动验证滑块版本 --island ——热心网友

👍3

13 Sept 2026, 03:05 UTC316 views5 reactionsread 14 September 2026
File

和香蕉锁机王差不多,改一改就可以去骗小学生

👍5

13 Sept 2026, 02:31 UTC322 views5 reactionsread 14 September 2026

https://t.me/zakadeep_bot?start=ref_7305208247 无限制ai机器人

👍5

Showing the 12 most recent of 31 posts we hold for @aaaaaaaaaaaaaaaaaaaaaaaaaaaaaad. 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

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“奇异社区” (@aaaaaaaaaaaaaaaaaaaaaaaaaaaaaad), 4,111 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/aaaaaaaaaaaaaaaaaaaaaaaaaaaaaad.

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.