Telegram RegisterThe public register of Telegram
Telegram profile photo for 小布丁🍮的冰箱

Channel

小布丁🍮的冰箱

@bdhxjsn123

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

1,408subscribers

-26 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003933654956
TypeChannel
Username@bdhxjsn123
CreatedBetween 1 April 2026 and 26 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/bdhxjsn123

Growth

1,4081,4341,4218 August 2026 — 1,434 subscribers9 August 2026 — 1,433 subscribers13 August 2026 — 1,408 subscribers8 August 202613 August 2026
3 measurements spanning 4 days, net -26. 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 1,404–1,438 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 03:081,408-25
9 Aug 2026, 16:261,433-1
8 Aug 2026, 21:151,434first reading

Engagement

15 posts held, back to 26 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
76.7%
avg views ÷ 1,408 subscribers
Avg views / post
1,080
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 15 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 8 August 2026
Posts held15 (26 June 20268 August 2026)
Views total3,240
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 21:15 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
2s
Average length
2s

Measured directly from 1 video 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

7 Jul 2026, 04:41 UTC≈4,180 viewsread 8 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】:白云 【老师艺名】:小布丁 【联系方式】: @xiaobuding6789 【验证留名】:szylhhh 【验证时间】:7月4号 【课程打赏】:1200 【颜值身材】:9.8 【服务内容】:洗澡,口,打炮 【服务态度】:非常好,老师温温柔柔的,贴心的给你挤牙膏 【优点缺点】:老师身材很好,年龄很小有点呆萌,没有缺点 【推荐程度】:很完美的一次体验 【体验细节】:老师的身材非常适合打炮,年龄很小有点呆萌,服务很卖力,有什么姿势老师都可以配合,老师刚刚入行第二炮差点给老师干晕了,直接没办法走路了,叫声也好听,打完炮都没心情生活了,天天想硬邦邦滴 温馨提示: 报告仅供参考 注:(提交报告要提供相关证明,如聊天记录,付款记录等) 报告收集机器人: @Umbrella9_BOT

7 Jul 2026, 04:22 UTC≈3,510 viewsread 8 August 2026
Forwarded from @GZNMMTL

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】#小布丁 【联系方式】@xiaobuding6789 【所在位置】#白云 【验证留名】 寻 【验证时间】7.5 【修车费用】 1200pp 【颜值身材】丰满 【服务内容】XCZ🐍 【服务态度】很好 【优点缺点】无 【推荐程度】9.9 【体验细节】超级棒,老师很漂亮[流泪]身材很好,耐心热情,能找话题聊天带动氛围,服务很认真,口活带提高,会配合各种姿势,反正很舒服很沉浸很陶醉就对了。身材带感,叫声喘息声太勾人魂魄了,美好的时间总是短暂😭不然想做到天荒地老永不休。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Chenyaoyao1_bot

5 Jul 2026, 09:12 UTC≈3,630 viewsread 8 August 2026
Forwarded from @GCCITYPhoto

地区:#白云 艺名:小布丁 验证:视频报日期验证 课表:600/1 TG :@xiaobuding6789 标签:#嫩妹 #制服 #鸳鸯浴 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约小布丁 报告奖励:200 分

29 Jun 2026, 12:48 UTC≈4,250 viewsread 8 August 2026

【广深报告】[https://t.me/QMqun] 【所在位置】:白云 【老师艺名】:小布丁 【联系方式】:@xiaobuding6789 【验证留名】:jjj 【验证时间】:6.28 【课程打赏】:半价p 【颜值身材】:非常顶,胸大屁股大,顶级微胖 【服务内容】:xcz 【服务态度】:老师的态度非常好,比较有话聊,是个宝藏老师,大家可以试试 【优点缺点】:无缺点 【推荐程度】:10分 【体验细节】:老师性格很好,内向的我也能聊起来,身材很好,胸至少有c,各项都很配合,总之无缺点 温馨提示: 报告仅供参考 注:(提交报告要提供相关证明,如聊天记录,付款记录等) 报告收集机器人: @Umbrella9_BOT

28 Jun 2026, 11:13 UTC≈3,890 viewsread 8 August 2026
Forwarded from @GZNMMTL

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】小布丁 【联系方式】@xiaobuding6789 【所在位置】白云区-百信广场(万象汇) 【验证留名】蛋挞小王子 【验证时间】2026-06-28 【修车费用】600P 【颜值身材】非常丰满,人照9成,淡妆,身材顶级,主打一个🐻大 【服务内容】共浴,吹萧,舌吻, 【服务态度】热情,缅甸,爱笑 【优点缺点】缺点:暂时没有;优点:🐻特别大(非科技),漂亮,乳晕粉嫩粉嫩,绝对是嫩妹中的天花板 【推荐程度】极力推荐 【体验细节】昨晚约好,今天如期付约;新地方怪自己不熟悉,约13点30分,但因下雨担误了老师10分钟的时间,老师脾气很好也没有生气。到了楼下,老师遥控上楼。在电梯时一直幻想老师漂亮身材和模样,小弟弟不禁翘了一下;到了门口,看到老师身穿花裙,特显身材,让我心里更是兴奋到极致,刚坐下,初次见面小布丁老师有点慢热型,然后交谈几句后交水费。小布丁老师主动要求进去洗澡

28 Jun 2026, 04:26 UTC≈3,450 viewsread 8 August 2026

📕 小布丁(@xiaobuding6789)的报告 【广深报告】[https://t.me/QMqun] 【所在位置】:白云 【老师艺名】:小布丁 【联系方式】:@xiaobuding6789 【验证留名】:条也太短 【验证时间】:6.27 【课程打赏】:半价 【颜值身材】:8 【服务内容】:全套自助餐 【服务态度】:8 【优点缺点】:技术了得 清新邻家小妹 缺点微胖型 【推荐程度】:8 【体验细节】:中奖了小布丁老师半价 果断约老师居然还要定金.这个我真的理解不了 出来玩就是想无痕交易的.老师也要理解一下啊 看到老师颜值属于清纯邻家系,真人与照片对版度极高。皮肤白皙细腻,五官精致耐看,笑起来很有感染力。身材曲线匀称,尤其是[腰臀比/长腿]非常亮眼,整体透着一种自然的美感,完全没有厚重的滤镜感。过程中非常有耐心,全程不催促、不敷衍,互动感直接拉满。每一个动作都完成得非常细腻,能够敏锐捕捉到客人的需求,体验感极其舒适。感觉自己不

Showing the 12 most recent of 15 posts we hold for @bdhxjsn123. 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 — 719,535 of 1,481,217entries 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 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“小布丁🍮的冰箱” (@bdhxjsn123), 1,408 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/bdhxjsn123.

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.