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Channel

豆么小众剧本体验馆报告收录

@doume0615bdsm

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

206subscribers

+129 since we began measuring on 10 August 2026

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

Register entry

Telegram ID-1004291946512
TypeChannel
Username@doume0615bdsm
Description绿色正规玩足和BDSM
CreatedBetween 1 May 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 October 2026
Last confirmed live9 October 2026
Measurements held8
On Telegramt.me/doume0615bdsm

Growth

77206141.510 August 2026 — 77 subscribers17 August 2026 — 87 subscribers25 August 2026 — 98 subscribers31 August 2026 — 115 subscribers10 September 2026 — 130 subscribers18 September 2026 — 153 subscribers3 October 2026 — 206 subscribers9 October 2026 — 206 subscribers10 August 20269 October 2026
8 measurements spanning 60 days, net +129. 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 58–225 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Oct 2026, 23:22206no change
3 Oct 2026, 20:39206+53
18 Sept 2026, 14:17153+23
10 Sept 2026, 04:57130+15
31 Aug 2026, 05:16115+17
25 Aug 2026, 04:1298+11
17 Aug 2026, 11:4387+10
10 Aug 2026, 15:1577first reading

Engagement

20 posts held, back to 11 September 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
274.8%
avg views ÷ 206 subscribers
Avg views / post
566
19 posts measured
Reaction rate
0.365%
reactions ÷ views · ER floor
Posts in window
19
of 20 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 8 of 19 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 7 October 2026
Posts held20 (11 September 2026 – 7 October 2026)
Views total10,755
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 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
15
Videos
7
Links
18

Lifetime counters from Telegram’s own channel header, read 9 October 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.

Video runtime
2m 04s
Average length
31s

Measured directly from 4 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.

Reaction mix

19 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 84.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1684.2%
❤‍🔥15.26%
🔥15.26%
🥰15.26%

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 8 of the 20 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 11 September 2026 to 7 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

26 Sept 2026, 10:03 UTC596 views1 reactionsread 9 October 2026
Forwarded from @baogaowenxue

会所/mmk报告模板 【永乐报告】:https://t.me/guangfoyongle2020 【场所名称】#豆么小众剧本体验馆 【联系方式】:@doume0615 【场所分类】: #踩背馆 #SM #恋足 【验证时间】:9.24 【妹子质量】:年轻高颜,剧情演绎的也很专业。 【妹子数量】:2 【服务态度】:超级专业。 【场地大小】:大 【所在位置】: #广州天河 【安 全 性】:不出击最安全 【消费金额】:800,C课。 【环境评价】: 还原剧情的实景装修。仿佛小剧场。太沉浸了。 【提供餐食】:否 【能否过夜】:否 【推荐程度】:非常适合喜欢角色扮演打本的M。 【总体评价】:朋友给我分享很久了,一直上班班没时间,中秋这会儿终于有空从佛山跑来广州体验一下。选的aya老师带《札幌回忆》剧本,刚开始是柔情似水的一个感觉,暧昧的气氛让人红温。随着剧情的推进,逐渐发现画风开始慢慢变化,老师越玩越邪恶,完全不是一开始那个温柔的妹…

❤1

21 Sept 2026, 13:50 UTC477 viewsread 9 October 2026
Forwarded from @baogaowenxue

会所/mmk报告模板 【永乐报告】:https://t.me/guangfoyongle2020 【场所名称】#豆么小众剧本体验馆 【联系方式】:@doume0615 【场所分类】: #踩背馆 #SM #恋足 【验证时间】:9.19 【妹子质量】:05后高颜值 【妹子数量】:2 【服务态度】:顶到爆 【场地大小】:大 【所在位置】: #广州天河 【安 全 性】:不出击最安全 【消费金额】:800 【环境评价】:专业主题调教室 【提供餐食】:否 【能否过夜】:否 【推荐程度】:喜欢被女王调的闭眼冲 【总体评价】:最早美团刷到,没太发现是玩小圈的。后来在tg榜单再次看到,才反应过来,也对,在美团上一般都比较含蓄。哈哈哈。 和客服沟通后,一眼锁定reyna老师,这是标准大御姐选手。很高冷,又凶凶的,让人瞬间就愿意臣服。 踩背之后,reyna老师就带我开始打本《凋零契约》。这一段高大主人和卑微小狗的故事就此展开,一顿生猛的输出直…

20 Sept 2026, 04:27 UTC701 views1 reactionsread 9 October 2026

今天上课老师:西美老师。aya老师。Reyna老师。

❤1

Showing the 12 most recent of 20 posts we hold for @doume0615bdsm. 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 3 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.

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

“豆么小众剧本体验馆报告收录” (@doume0615bdsm), 206 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/doume0615bdsm.

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.