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Channel

北京 大圣探店 作业反馈

@bjdstdz

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

24,209subscribers

+0 since we began measuring on 6 October 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003427282206
TypeChannel
Username@bjdstdz
Description管理员 @jingbeiabot 大圣探店男群 @bjdstdb 大圣探店打卡群 @bjdstdd 大圣探店中小项 @dstdzx 大圣探店佳人榜 @dstdjr 大圣探店佳丽总榜 @bjdsji 大圣探店 报告 @bjdstdz 大圣探店导航 @bj51dh <一键关注·大圣探店群组> t.me/addlist/X8j6Hs8uyBgzNDc0
First recorded6 October 2026
Last confirmed live6 October 2026
Measurements held2
On Telegramt.me/bjdstdz

Growth

24,2096 Oct 2026, 22:47 — 24,209 subscribers6 Oct 2026, 23:22 — 24,209 subscribers6 Oct 2026, 22:476 Oct 2026, 23:22
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 24,185–24,233 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Oct 2026, 23:2224,209no change
6 Oct 2026, 22:4724,209first reading

Engagement

11 posts held, back to 4 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
0.456%
avg views ÷ 24,209 subscribers
Avg views / post
110
11 posts measured
Reaction rate
0.87%
reactions ÷ views · ER floor
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. It is computed over the 9 of 11 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 6 October 2026
Posts held11 (4 October 2026 – 6 October 2026)
Views total1,213
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 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.

What this channel posts

Photos
≈1,760
Videos
≈18
Links
≈466

Lifetime counters from Telegram’s own channel header, read 6 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

9 reactions across 9 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤9100.0%

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 9 of the 11 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 4 October 2026 to 6 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

6 Oct 2026, 16:00 UTC15 viewsread 6 October 2026
Forwarded from @bjdsjaPhoto

群众观点 真实探店 ▶️ @bjqzgd ▶️ 投稿请联系

6 Oct 2026, 11:56 UTC75 views1 reactionsread 6 October 2026
Photo

#宝薇 老师资料 :https://t.me/bjdsja/5026 宝薇老师服务一流,刚见面就给了个的拥抱,后面一起共浴,情绪价值拉满,为人热情,后面的按摩更是一绝,按完后感觉整个人都轻松多了 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

6 Oct 2026, 11:54 UTC66 views1 reactionsread 6 October 2026
Photo

#冬瓜皮 老师资料 :https://t.me/bjdsja/4837 https://t.me/dg2235 给冬瓜皮妹妹提交个作业: 妹妹南方人,皮肤光滑紧实,身材也不错,确实人比照片更好看,人很温柔,细致周到,情绪价值到位,手法也很专业,实属难得! 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

6 Oct 2026, 11:50 UTC61 views1 reactionsread 6 October 2026
Photo

#双井 思彤 老师资料:https://t.me/bjdsja/5392 今日去约了思彤!姑娘人很好看到第一眼就是很惊艳的那种!比照片要好看好几倍!姑娘很热情让我坐下然后做我旁边我细细的端详着她,身材好,天然大胸翘臀,肌肤的确雪白光滑,仔细一看感觉还不错,妆容精致 谈吐礼貌 !简单聊过之后去洗漱,床上床下口活都很好,特色落地镜口活,值得体验和推荐!思彤属于那种越看越好看那种!越看越喜欢 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

6 Oct 2026, 11:48 UTC58 views1 reactionsread 6 October 2026
Photo

#萌宠家 老师资料 :https://t.me/bjdsja/4661 扶摇老师本人真的是好看 我是没想到服务系的老师颜值也这么好 真让我感受了一次什么才叫服务 那口舌毒龙 绝对是顶 强烈推荐 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

5 Oct 2026, 13:21 UTC164 viewsread 6 October 2026
Photo

#花满阁主 老师资料:https://t.me/bjdsja/4854 【出击时间】:9.22 【妹子花名】:欣欣 【联系方式】: @BJql4Tspa 【修车水费】:6张 【胸围】: b+ 【颜值相似度】: 95 【服务内容】: 遥控上楼 进门先洗澡 然后开始按摩 指滑 各种花式调情漫游 整个过程酥酥麻麻 感觉非常好 【出击体验】:ls服务很好 下次还会过来 推荐体验 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

5 Oct 2026, 13:12 UTC109 views1 reactionsread 6 October 2026
Photo

#溪溪 老师资料 :https://t.me/bjdsja/4604 今天去了溪溪老师,人照8分像,非常温柔,老师骨架小巧,皮肤光滑细腻。进门先给了一个拥抱,洗过澡后主动帮忙擦拭身体。简单按摩后开始服务,认真细致。双峰柔软,口活温暖。成功出货2次。中途老师还会满足小要求,一点也不会冷场,走前还给了一个拥抱,值得二刷 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

5 Oct 2026, 12:44 UTC284 views1 reactionsread 6 October 2026
Photo

#一诺 老师资料:https://t.me/bjdsja/5212 环境靠谱 ,停车方便,手法在线,服务高情商,懂得尊重客户,逆天大长腿确实年轻漂亮,强烈推荐👍 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

5 Oct 2026, 12:42 UTC93 views1 reactionsread 6 October 2026
Photo

#西街甜甜 老师资料:https://t.me/dstdzx/588 写个甜甜@Faizi521 作业 位置很方便出了地铁就是 课表上的FW都有 两面做的很细致 皮肤光滑 总体下来很舒服 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

5 Oct 2026, 08:59 UTC115 views1 reactionsread 6 October 2026
Photo

#溪溪 老师资料 :https://t.me/bjdsja/4604 溪溪老师年轻漂亮,人照基本无差,9分像,非常温柔。简单帮洗过后会帮忙擦干净。上床后会照顾到身体的各个肌肤,浑身很烫,肉体贴的非常紧。过程中摸老师也特别配合,有耐心。值得一提的是老师的口活非常好,含着水口非常温暖,卸货后还给了一瓶水喝~ 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

4 Oct 2026, 13:54 UTC173 views1 reactionsread 6 October 2026
Photo

#桃桃 老师资料:https://t.me/bjdsja/5247 晚上刷tg无意间看到了桃桃老师,看到照片一眼就知道是我喜欢的款式,速速私聊老师约课。老师提前告知gzs路线,遥控开门,看到桃桃老师一席职业装,下面就硬的不行。速速交了水费,沐浴后坦诚相待。先是b面服务,简介上写的都有,特别是毒龙,特别舒服。反转过来进行a面服务,老师边做服务,眼睛还跟你互动。口技没得说,12123很舒服的就出水了,总之一句话,桃桃老师值得反食!🥰 🔔 课后联系 @jingbeiabot 可进 ✅ 内部群 一键关注·大圣探店群组 😬 @bj51dh

❤1

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

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.

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

“北京 大圣探店 作业反馈” (@bjdstdz), 24,209 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/bjdstdz.

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.