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Telegram profile photo for 御呆呆的频道

Channel

御呆呆的频道

@badbrat

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

2,082subscribers

+221 since we began measuring on 22 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1004398301216
TypeChannel
Username@badbrat
CreatedBetween 1 June 2026 and 19 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded22 August 2026
Last confirmed live1 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/badbrat

Growth

1,8612,0821,971.522 August 2026 — 1,861 subscribers22 August 2026 — 1,861 subscribers23 August 2026 — 1,966 subscribers26 August 2026 — 2,027 subscribers29 August 2026 — 2,079 subscribers1 September 2026 — 2,082 subscribers22 August 20261 September 2026
6 measurements spanning 10 days, net +221. 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”. The vertical axis spans 1,828–2,115 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 05:252,082+3
29 Aug 2026, 09:242,079+52
26 Aug 2026, 08:132,027+61
23 Aug 2026, 18:051,966+105
22 Aug 2026, 10:151,861no change
22 Aug 2026, 10:001,861first reading

Engagement

11 posts held, back to 19 August 2026the 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
37.8%
avg views ÷ 2,082 subscribers
Avg views / post
788
11 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
11
of 11 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 22 August 2026
Posts held11 (19 August 202622 August 2026)
Views total8,664
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 10:15 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
14s
Average length
7s

Measured directly from 2 videos 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.

Recent posts

22 Aug 2026, 04:01 UTC333 viewsread 22 August 2026

上海外滩站 免费拿 【半价 六折】优惠 抽奖 红包🧧 白嫖 主打靠谱高质量福利 交流群 https://t.me/+S66OI2pXAW4yMzYx 公主榜单 https://t.me/Dishinigzde 上榜管理 @jiayidfcs

22 Aug 2026, 04:01 UTC321 viewsread 22 August 2026
Forwarded from @DishinigzdePhoto

【上海外滩认证】😅 😀艺名:#御呆呆 😘地址:#静安 💴课费:#1200p #2400pp 👀私聊:@Badbratt 🔺双向机器人:@Badbtart_bot ✍️#舌吻 #口爆 #臀推 #车震 #足交 📱助推频道 报告区📱 榜单📱 交流群📱 #上海 #同城 #喝茶 #修车 #楼凤

21 Aug 2026, 15:47 UTC601 viewsread 22 August 2026
Forwarded from @shlldbPhoto

艺名: 呆呆 御 地址: #静安 价格:#1200p #2400pp 私聊: @Badbratt 报告: 点击查看报告 服务:#舌吻 #毒龙 #角色扮演 类型:#御姐 #大长腿 #大胸 身高:175cm 体重:52kg 胸围:D 浑身雪白光滑细腻,💦多多敏感体质 馒头型BB一线天美观精致,会吸会夹八爪鱼🐙嘎嘎紧常年健身身材高挑性感女人味十足霸气侧漏外冷内骚的一批~

21 Aug 2026, 15:46 UTC637 viewsread 22 August 2026
Photo

🎉 萝莉岛(@shlldq) 萝莉岛 静安 呆呆 御 老师半价券抽奖 🎁 奖品清单 • 1p半价劵 × 1 🛡️ 参与条件 • 加入 上海萝莉岛 • 加入 御呆呆的频道 • 加入 上海萝莉岛榜单 • 加入 上海萝莉岛报告 • 加入 上海萝莉岛甄选 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:10积分 • 祝福上限:5次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-08-24 15:00:00 📜 抽奖说明 1️⃣本次抽奖由 呆呆 御 老师赞助 @Badbratt 2️⃣开奖后七天有效,请再七天内使用 3️⃣遇到问题请找唯一客服 @shlldbot ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

21 Aug 2026, 05:17 UTC806 viewsread 22 August 2026

开始工作搬砖✈️今日来的宝宝可以拍小视频哦

20 Aug 2026, 11:36 UTC≈1,050 viewsread 22 August 2026
Photo

💃芳名:呆呆(介绍⬅️) ✈️直连:@Badbratt ⏰日期:2026-08-20 👔男神:Kong、乐 颜值:9 | 身材:9 | 服务:9 |态度:9 —————————————— 体验细节: 妹妹奶子真的超级大 一只手抓不完的那种 身材比例很好 又高 腿长 很温柔 被口的时候痒痒的受不了就直接上了,特别紧。出水后告别也在回味

Showing the 11 most recent of 11 posts we hold for @badbrat. 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

Citation-graph rank — 753,737 of 1,630,085 entries 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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.

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

“御呆呆的频道” (@badbrat), 2,082 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/badbrat.

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.