Channel
@shashou00000
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003735617115 |
|---|---|
| Type | Channel |
| Usernames | @aiban @shashou00000 |
| Created | 26 June 2026 — measured — dated from the channel’s first post |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/shashou00000 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 15:16 | 8 | no change |
| 8 Aug 2026, 14:31 | 8 | first reading |
8 posts held, back to 26 June 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 pagesof 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. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 8 (26 June 2026 – 5 August 2026) |
| Views total | 33 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 15:16 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 12 August 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 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 2 of the 8 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 26 June 2026 to 5 August 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.
#个人自助解禁 如果你被AI杀手 @Ai_banbot 封禁或者禁言，如何逃离AI杀手的黑名单，避免全局封锁！ 1、首先在机器人⛑️里的菜单栏选择 /cha 查询自己是否在黑名单；（如图1） 2、如果查询你在黑名单（如图2），可以点击 自助解禁 按钮，进行个人自助解禁； 3、按照提示 开始真人验证 （如图3），点击后会弹出验证页面； 4、开始进行真人验证，点击 verify you are human ，后续等待验证结果 （如图4）； 5、如果你是真人，会验证成功（如图5）； 按照如上操作，你将逃离AI杀手的黑名单，避免“一发消息就被封” 提示：如果你如果所在群组还是封禁或禁言，请再联系该群组的管理员，手动解封！ 👉AI杀手⛑️：@AI_banbot 🔗 更多详情 ： 点击进入频道
#Personal Self-Unban If you are banned or muted by the AI Killer @Ai_banbot, how to escape the AI Killer's blacklist and avoid global blocking! 1. First, select /cha query in the robot's menu bar to check if you are on the blacklist; (as shown in Figure 1) 2. If the query shows you are on the blacklist (as shown in Figure 2), click the Self-Unban button to perform a personal self-unban; 3. Follow the prompts to S…
❤1
🤖 Hello everyone, I am AI Killer @Ai_banbot, an AI anti-spam advertising bot. Based on large-model intelligent detection, it accurately identifies various types of ads, spam flooding, and rule-violating content, with an accuracy rate of over 99%. It uses a tiered penalty system, including mute or removal, making moderation more humanized. 🌟 Core features: #YES 🌍 Global blacklist: block once, apply across all group…
🤖 大家好，我是AI杀手 @Ai_banbot ，一个AI 反垃圾广告机器人 基于大模型智能检测，精准识别各类广告、刷屏、违规内容，准确率高达 99%+。采用分级处罚机制，分别为禁言或踢出，处理更人性化。 🌟核心亮点： #YES - 🌍 全局黑名单 ：一处拉黑，全群生效，恶意用户无处遁形 - 🔓 自助解禁 ：被禁用户可通过人机验证自助解封，减轻管理员负担 - ⚡️ 零配置 ：添加到群组设为管理员即开即用，3秒完成部署 - 📊 实时统计 ：封禁数据一目了然，群组情况尽在掌握 无论是项目官方社区、币圈交流群还是各类兴趣社群，都能帮你自动守护社群清净，告别手动删广告、踢人的繁琐工作。 👉 立即体验 ：@AI_banbot 🔗 更多详情 ： 点击进入频道
❤2
⛑️ 帮助贴子
你好！我是 AI 反垃圾广告机器人，详细联系电兔助手 @diantu_bot ，误封请点击菜单 /cha 查询！ ━━━━━━━━━━ ⚔️ 黑名单今日新增 18 个广告号，总计已有 435 个广告号被封禁，持续安全守护群组！ 👇点击下面的按钮添加我到你的群组 💡 若将Bot添加至群组后功能无法使用，可以先将机器人移除群组，重新添加即可。
Channel photo updated
Channel created
Showing the 8 most recent of 8 posts we hold for @shashou00000. 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.
Citation-graph rank — 781,335 of 1,481,243entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“AI杀手 - 专注AI反垃圾” (@shashou00000), 8 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/shashou00000.
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.