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Channel

小甜茶(频道)

@xiaobaicha778

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

287subscribers

+202 since we began measuring on 17 October 2026

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

Register entry

Telegram ID-1004458008101
TypeChannel
Username@xiaobaicha778
Created16 October 2026 — measured — dated from the channel’s first post
First recorded17 October 2026
Last confirmed live1 November 2026
Measurements held4
Confirmed unchanged1 time, most recently 1 November 2026
On Telegramt.me/xiaobaicha778

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 1 November 2026 and assigned it the closest of 31 fixed categories, at 62% 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 the other topics.

Growth

8528718617 October 2026 — 85 subscribers18 October 2026 — 128 subscribers26 October 2026 — 238 subscribers1 November 2026 — 287 subscribers17 October 20261 November 2026
4 measurements spanning 14 days, net +202. 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 55–317 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Nov 2026, 02:29287+49
26 Oct 2026, 01:57238+110
18 Oct 2026, 23:08128+43
17 Oct 2026, 23:2285first reading

Engagement

7 posts held, back to 16 October 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
85.6%
avg views ÷ 287 subscribers
Avg views / post
246
6 posts measured
Reaction rate
0.392%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 3 of 6 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 17 October 2026
Posts held7 (16 October 2026 – 17 October 2026)
Views total1,474
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Oct 2026, 23:22 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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 3 of the 7 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 16 October 2026 to 17 October 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

Telegram’s own ‘edited’ marker: 0 of 7 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

17 Oct 2026, 09:46 UTC238 views1 reactionsread 17 October 2026
Photo

🎁 小甜茶半价赏金福利 元宝抽奖(定时开奖) ├开奖时间: 2026-10-19 18:00 ├参与需加入: │⭐ 杭州修车协会 │└消耗元宝: 10 │🎫 小甜茶(频道) │🎫 杭州修车协会抽奖公告 ├奖品列表: ├单P半价优惠券 × 1 ├18赏金 × 1 ├加成上限: 20次 ├抽奖说明:刷屏、灌水、纯表情、复制粘贴、无意义对话、撤回内容等,一律视为无效发言,不计入统计!请用心交流。 开奖如果不在群内,一律视为自动放弃,奖品将会回到奖池继续抽奖活动最终解释权归本群管理团队所有。 24小时内预约时间,3天内出击,过时自动作废 中奖需本人出击,转让需经过老师同意并与管理协商,不得私下买卖,出现买卖双方都将被踢出群里!出击完成后提交报告(提交报告额外奖励元宝)如若不提交,将永久拉黑! 喜欢的再抽,抽中的请珍惜。愿每一次抽奖,都是一次心动的选择。 老师:@xiaobaicha6 ├发奖人员:小甜茶☕️(白虎大E奶…

❤1

17 Oct 2026, 08:06 UTC262 viewsread 17 October 2026

【杭州肯德基报告】:https://t.me/kdjqjt 【推荐程度】:#超级好评 【综合评分】:96/100 【出击时间】:2026年9月28日 【出击老师】:#小甜茶 【联系方式】:@xiaobaicha5 【出击留名】:午夜 【开课位置】:拱墅区 【修车水费】:工兵P 【人照评分满分10】:8(人照约八成还原,长睫毛在灯光下轻轻颤动,妆容精致却不厚重,近距离看更显清透) 【颜值评分满分20】:19(圆润的脸庞配上长长的睫毛,笑起来眼睛弯成月牙,活泼里带着一点容易心软的柔) 【身材评分满分10】:10(身高约1.68,丰腴却不显沉,腰际有恰到好处的软肉,E罩杯沉甸甸地坠着,手感温热又弹性十足) 【吊感评分满分20】:20(人工白虎干净漂亮,户型圆润好看,进入时层层软肉吮吸,湿热得像裹着一层细密的水膜) 【服务评分满分10】:10(从拥抱到陪浴再到事后长聊,全程无流程感,主动却不生硬,像在照顾一个真正在意的人) 【态度评分满…

17 Oct 2026, 08:05 UTC230 views1 reactionsread 17 October 2026

杭州Alex教你123: https://t.me/hzdanai 【老师花名】:#小甜茶 【上课费用】:工兵400p 【上课区域】:#拱墅 【出击评价】:#好评 【出击狼友】:Kerwin Brenda 【老师特点】: #就一个嫩字 【老师车牌】: @xiaobaicha5 #硬件配置 165 120左右的bbw熊d以上吧,腰部少量赘肉 #服务内容 【陪浴】【口交】,【69】,【舌吻】 #情绪价值 情绪价值很足,女友感 #态度意识 进门递水,主动要求培浴,指哪打哪 #日感反馈 女上体力一般,动作比较生疏 #精选黄文 看到工兵是个嫩妹立马拍下,按照指引到了老师楼下。老师头课也比较早,约了头课进去。进门老师主动递水,一起洗澡,但是我想自己洗老师还说那你洗完叫我我帮你擦。态度非常好。穿了正常的jk不是情趣内衣那种,配上黑丝好看。老师圆脸没照片那么瘦,整体配合,一直口。69之类的也都是可以的。但是老师年纪还小,比较生疏…

❤1

17 Oct 2026, 08:04 UTC221 viewsread 17 October 2026

Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#小甜茶 【上课费用】:工兵P 【上课区域】:#上城 【出击评价】:#超级好评 【出击狼友】:SK 【老师特点】: #嫩妹 #巨乳 #白虎 #馒头 #一线天 #BBW 【老师车牌】: @xiaobaicha5 #硬件配置 人照8分,开了瘦脸,本人是圆脸大胸嫩妹,身高168、体重120左右,BBW身材,黄白皮,巨乳,白虎,馒头,一线天 #服务内容 【陪浴】,【舔胸】,【口交】,【69】,【舌吻】 #情绪价值 很有女友感 #态度意识 乖巧听话,主动服务,进门递水,陪浴后帮擦,事后仍主动拥抱陪聊 #日感反馈 吊感紧致,包裹感强,女上会磨,其他姿势也很配合 #精选黄文 准时到达,准时开课,上城回迁房小区,装修豪华,进门递水,叫上水费,进浴室洗澡,前后都有洗,一对巨乳,把玩的爱不释手,洗完有帮擦,擦完后妹妹再自己仔细的洗一遍,回到床上…

Showing the 7 most recent of 7 posts we hold for @xiaobaicha778. 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.

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.

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

“小甜茶(频道)” (@xiaobaicha778), 287 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/xiaobaicha778.

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.