Telegram RegisterThe public register of Telegram

Channel

大白兔的日常

@tutu20066

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

443subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004294210460
TypeChannel
Username@tutu20066
CreatedBetween 1 May 2026 and 23 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/tutu20066

Growth

4437 Aug 2026, 19:32 — 443 subscribers8 Aug 2026, 05:05 — 443 subscribers7 Aug 2026, 19:328 Aug 2026, 05:05
2 measurements taken within a single day. 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 442–444 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 05:05443no change
7 Aug 2026, 19:32443first reading

Engagement

18 posts held, back to 23 June 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
161.0%
avg views ÷ 443 subscribers
Avg views / post
713
12 posts measured
Reaction rate
0.38%
reactions ÷ views · ER floor
Posts in window
12
of 18 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 7 of 12 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 8 August 2026
Posts held18 (23 June 20268 August 2026)
Views total8,561
Reactions total26
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:05 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
29
Links
4

Lifetime counters from Telegram’s own channel header, read 8 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.

Reaction mix

39 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 79.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3179.5%
😍410.3%
👍25.13%
👏12.56%
🤔12.56%

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 12 of the 18 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 39reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 23 June 2026 to 8 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.

Recent posts

8 Aug 2026, 04:33 UTC16 viewsread 8 August 2026

开课囖 还有少量🈳位 夜没有了被预定了😘

8 Aug 2026, 04:32 UTC17 viewsread 8 August 2026
Forwarded from @CSZXBG

『小熊臻选』专属报告模板🖊🖊 📍长沙📍 🙋‍♂探 花 郎:张大胆 🗺️地 区:酒店上门 🧏‍♀花 名:大白兔 💵花 费:1000 🪭颜值评分:9 💃🏼老师身材:9 🎐上课环境:9 👩‍❤️‍👨赏花过程:长话短说老师人照一致。胸大皮肤白,进门看到后就知道叫对了,是我喜欢的丰满类型,给了pp的课费去洗澡,洗干净之后来到床上开始战斗,妹妹开始她的口活,从上往下慢慢口,不得不说妹妹的口活是真的爽,没有一点齿感包裹性很好,一番前戏做完,我已经迫不及待直接开始做爱,戴上保护伞直入,妹妹下面很紧也很湿润,没有异味!换女上后也很舒服,来到房间大镜子前,视觉效果拉满,一会就结束了战斗,中场休息时间和老师闲聊,像是和邻居姐姐聊天一样。休息好之后来到第二次,战斗一番后体力不支还是没能出来,于是继续休息聊天,老师很有亲和力,聊天给到的情绪价值非常足。总结一下非常配合,服务也好,性价比高,下次还会找妹妹! 😍推荐程度:

7 Aug 2026, 05:55 UTC299 views4 reactionsread 8 August 2026
Photo

开课囖 今天三点🈳 只上门🚗费可预约了 有时候信息不弹窗信息可能回复不及时见谅

👍21👏1

1 Aug 2026, 16:16 UTC922 views5 reactionsread 8 August 2026
Photo

休了一天元气满满 明天头课🉑预约囖🥰全区🉑上门 需要的哥哥提前预约哦😘

4🤔1

30 Jul 2026, 11:03 UTC≈1,040 views1 reactionsread 8 August 2026
Forwarded from @CSJLQBGB

长沙交流群报告提交流程,约课记录+目录内容!严禁老师个人提交! 提交报告联系唯一管理机器人: @CSssel0901_bot 报告低于20个字的,太模糊的,不接受投递!谢谢配合! 希望大佬们都是真实评价,虽说每个人口味不同,请勿攻击,请勿虚假宣传! 报告只提供参考价值,不具备完全真实性,还是得狼友们自行探探! 【长沙交流群(茶颜悦色)报告】 推荐指数:⭐️⭐️⭐️⭐️⭐️ [日期]: 【验 证 人】:刘浩然 【美女昵称】:大白兔 【所属频道】:https://t.me/CSJLGKB/7819 【地 区】:上门 【见面感觉】:9.5分 【身材曲线】:9分 【风情指数】:9分 【技术含量】:9.5分 【年 龄】:20 【身 高】:167 【凶 器】:D➕吧 【肤 色】:正常白 【人照相似】:人照一致 【服务内容】:见课表都做了 【服务过程】:深夜寂寞想

1

29 Jul 2026, 06:50 UTC≈1,000 views7 reactionsread 8 August 2026
Photo

开课囖在榜 四点🈳 全区🉑上门 有时候信息不弹窗可以多发一条信息

😍43

27 Jul 2026, 19:29 UTC≈1,160 viewsread 8 August 2026
Photo

陪哥哥包✌️中 🉑预约明天的头课 大家晚安😘

27 Jul 2026, 11:40 UTC≈1,150 views2 reactionsread 8 August 2026
Forwarded from @xiebaowanfankui

反馈请自带聊天记录及付款记录确保不是老师找人代提交更好的证实真实性 【长沙反馈模板】 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【日 期】:7月7 【验证人】:非凡人生 【美女昵称】:大白兔 【所属频道】:https://t.me/CSXBWGKB/19050 【地 区】:芙蓉区上门 【见面感觉】:9.5 【身材曲线】:9.5 【风情指数】:9.5 【技术含量】:9.5 【年 龄】:20 【身 高】:167 【凶 器】:又大又白 【肤 色】:白 【人照相似】:人照一致现实中好看些 【服务内容】:课表有的都做了 【服务过程】:朋友推荐的,说大白兔操起来很爽,果断找个空闲时间,听说妹妹不带房于是联系了妹妹,于是给妹妹房费,让妹妹代开了一个酒店。到了之后看见妹妹人照一致不是假图丰满类型,我就喜欢这种的见面第一眼看着两个大白胸迅速的硬了,给了水费然后杵着翘起

2

24 Jul 2026, 14:44 UTC≈1,250 views5 reactionsread 8 August 2026
Photo

明天的头课被预约了 需要下午上🚪的哥哥可以预约了 为什么要预约?因为最近飞机上口嗨鸽子很多 这样预约方便可以节省哥哥的时间 临时发信息有时候不🈳 🫰

5

Showing the 12 most recent of 18 posts we hold for @tutu20066. 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 — 1,016,158 of 1,151,006entries 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

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“大白兔的日常” (@tutu20066), 443 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/tutu20066.

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.