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Channel

苏珊的蜜语

@Susnang1688

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

1,053subscribers

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

Register entry

Telegram ID-1003645091767
TypeChannel
Username@Susnang1688
First recorded13 November 2026
Last confirmed live13 November 2026
Measurements held1
On Telegramt.me/Susnang1688

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Nov 2026, 16:221,053first reading

Engagement

20 posts held, back to 14 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
78.7%
avg views ÷ 1,053 subscribers
Avg views / post
829
18 posts measured
Reaction rate
0.102%
reactions ÷ views · ER floor
Posts in window
18
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 7 of 18 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 12 November 2026
Posts held20 (14 October 2026 – 12 November 2026)
Views total14,925
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 16:22 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
68
Videos
25
Links
31

Lifetime counters from Telegram’s own channel header, read 13 November 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
12s
Average length
4s

Measured directly from 3 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

7 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7100.0%

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 7 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 7 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 14 October 2026 to 12 November 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 18 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).

12 Nov 2026, 12:52 UTC306 viewsread 13 November 2026
Forwarded from @SuzhouSearchbotPhoto

苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-12 老师:#苏珊 留名:梦倦 ---【👙整体形象】--- 人照差别:7 身材比例:8 气质魅力:8 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9 舒适度:9 整场综合评分:8.33 ---【📝服务详情】--- 【过程描述】:馋了好久的大🐻,今天有时间果断出击,教室环境干净舒适,空调很舒服,各种饮料都有,按照指示上楼,先陪浴 老师洗的很认真,期间我不断把玩那一对大白兔。老师身材很好,本人比频道照片好看。洗完先是b面服务,课表有的一样不少,结束换a面,老师口活真的一绝 差点射出来,后面换各种姿势也十分配合,不停浪叫,体验很好。 【优点】:口活很棒,大🐻无敌 【建议/缺点】:老师有小洁癖,不然能体验更多项目 【个人评价总结】:推荐 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang

Signed 苏珊(大长🦵相城区38D)

10 Nov 2026, 05:02 UTC466 viewsread 13 November 2026
Sticker

Sticker, posted without a caption

Signed 苏珊(大长🦵相城区38D)

8 Nov 2026, 01:25 UTC641 views1 reactionsread 13 November 2026
Video

Video, posted without a caption

❤1

Signed 苏珊(大长🦵相城区38D)

5 Nov 2026, 09:39 UTC800 views1 reactionsread 13 November 2026

苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-05 老师:#苏珊 留名:chore ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9.5 整场综合评分:9.25 ---【📝服务详情】--- 【过程描述】:离得挺近,约好时间,位置好找,回复消息也快。进门就看见深V,要不是屋里光线不足,脸红😳一清二楚。挺热情,聊天也不尴尬,不断找话题聊天。开始前主动挑选情趣内衣,B面服务不表,A面两个大奶的视觉冲击太强烈,直接就把本匈奴拿下。口交的也舒服,差点没控制住。正式开始,3.4个姿势,15分钟结束战斗。这把真是做爽了,微微出汗,精神抖擞。洗澡聊天穿衣,回家继续锻炼,下次PP 【优点】:大奶 【建议/缺点】:无 【个人评价总结】:推荐 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powe…

❤1

Signed 苏珊(大长🦵相城区38D)

4 Nov 2026, 07:31 UTC719 views1 reactionsread 13 November 2026
Photo

苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-04 老师:#苏珊 留名:③ ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9.5 配合态度:9.5 舒适度:9.5 整场综合评分:9.25 ---【📝服务详情】--- 【过程描述】:看到老师的风格照片把持不住约课去了,实际上进门看到老师感觉很漂亮,身材也很好,先递水、漱口水然后共浴。老师说话很好玩,帮洗洗的很仔细,洗完一起上楼开始进入主题。先选衣服,很多衣服我选了豹纹的,喜欢一些御姐风,然后老师会问有什么敏感点,我自认为全身都敏感所以让老师自由发挥,先B面,从上亲舔到下,👅蛋蛋超级爽,然后一口含住,老师的嘴巴很热,口的很舒服,然后转到A面,口了很久戴装备,老师女上很厉害,差点被秒,赶紧换传教掌握一些节奏,很润很舒服,后入老师视觉效果很好,有臀浪,最后不想忍,换回传教士交货,总体感觉很润很舒服…

❤1

Signed 苏珊(大长🦵相城区38D)

4 Nov 2026, 03:50 UTC608 viewsread 13 November 2026
Forwarded from @SZZZJreportPhoto

苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-11-03 老师:#苏珊 留名:LouReed ---【👙整体形象】--- 人照差别:9 身材比例:8.5 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:8.5 配合态度:9 舒适度:9.5 整场综合评分:8.92 ---【📝服务详情】--- 【过程描述】:关注老师频道有一段时间了,今天偶然看到决定临时出击。老师刚好空着,遥控上楼见面非常亲切,果然如老师所说,真人比照片好看一些,更加自然,也没什么风尘气息。 寒暄几句之后沐浴清洗,老师铺好床单。课室环境干净整洁,很有居家感。背面服务了一番,毒龙我个人无感就没做。重点关注A面,老师的一对柔软的大奶在身上滑来滑去,白皙的E罩杯巨乳不管是视觉上还是身体上都非常受用。口了一小会儿之后受不了让老师骑在我身上69,毛毛非常多,可见性欲也非常旺盛,就这么抱着老师的巨臀埋头苦干几分钟,双方都受不了了。于是戴套传教士进…

Signed 苏珊(大长🦵相城区38D)

3 Nov 2026, 16:02 UTC663 viewsread 13 November 2026
Photo

【时间】:2026-11-03 【老师】:苏珊 【留名】:士仔 【人照】:9 【态度】:9 【环境】:9.5 【综合】:9.17 【过程】:关注老师频道很久了,正好看附近离得不远,于是立刻约好时间出发。老师今天淡妆,戴着黑框眼镜,比照片多了一丝邻家人妻的感觉。寒暄几句洗澡,清洗完毕后老师铺上一次性床单,课室环境干净很舒服。背面胸划、过水一遍,不太喜欢毒龙就让老师继续A面了,属最有特色的就是老师到底E奶胸推,正面视觉效果爆炸。吞吐了一会儿二弟之后,和老师69,毛多水多。戴套开干,老师下面水已经泛滥了,一边亲着老师的大奶子,一会儿舌吻,最后抱着老师紧紧相拥出货。老师整体非常健谈,服务不算特别久,但整体给人一种如沐春风的感觉。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!

Signed 苏珊(大长🦵相城区38D)

1 Nov 2026, 04:54 UTC730 viewsread 13 November 2026
Photo

Photo, posted without a caption

Signed 苏珊(大长🦵相城区38D)

28 Oct 2026, 01:02 UTC990 views1 reactionsread 13 November 2026
Video

Video, posted without a caption

❤1

Signed 苏珊(大长🦵相城区38D)

19 Oct 2026, 08:04 UTC≈1,380 views1 reactionsread 13 November 2026
Photo

苏州硬了么报告模板: ---【💕基础信息】--- 时间:2026-10-18 老师:#苏珊 留名:INX ---【👙整体形象】--- 人照差别:9 身材比例:9 气质魅力:9 ---【👧🏻服务质量】--- 服务水平:9 配合态度:9.5 舒适度:9.5 整场综合评分:9.17 ---【📝服务详情】--- 【过程描述】:被老师遥控来到教室,教室环境很好,很干净,简单聊了一下交了水费,接着就是一番洗浴,然后进入房间,挑选战服老师穿上情趣衣服很美,大🐻,大屁股,服务真的是超级棒! 【优点】:🐻大,服务好 【建议/缺点】:没有缺点,全是优点 【个人评价总结】:服务很好,力荐 ❤️ 硬了么群友审美各不同,吾之蜜糖,彼之砒霜。不合适直接掉头 ✳️Powered by @SuZhoulang

❤1

Signed 苏珊(大长🦵相城区38D)

Showing the 12 most recent of 20 posts we hold for @Susnang1688. 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 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 November 2026 — this entry's latest reading, not the date you are reading this.

“苏珊的蜜语” (@Susnang1688), 1,053 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/Susnang1688.

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.