Telegram RegisterThe public register of Telegram

Channel

苏苏的频道

@susu8543

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

192subscribers

-2 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1004392208093
TypeChannel
Username@susu8543
Created16 June 2026measured — dated from the channel’s first post
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/susu8543

Growth

1921941936 August 2026 — 194 subscribers7 August 2026 — 194 subscribers13 August 2026 — 192 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net -2. 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 192–194 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:34192-2
7 Aug 2026, 06:02194no change
6 Aug 2026, 20:32194first reading

Engagement

10 posts held, back to 16 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
130.7%
avg views ÷ 192 subscribers
Avg views / post
251
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 10 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 19 July 2026
Posts held10 (16 June 202619 July 2026)
Views total251
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 06:02 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

6 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
466.7%
👏233.3%

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 10 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 16 June 2026 to 19 July 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

19 Jul 2026, 03:30 UTC251 viewsread 7 August 2026
Forwarded from @yuputuanba

玉蒲团报告模板: https://t.me/+hshPD6HDhPEyZjcx 【体验评分】:9.5 【验证留名】:papa jason 【妹子艺名】:苏苏 【联系方式】:@susu78795 【上课水费】:13P 【老师类型】: 御姐 【整体补充】: 【艺名】:#苏苏 【价格】:1300P 【位置】:普陀 【联系方式】:@susu78795 【身材样貌】: 颜值:短发冷白皮,妆容自然贴切,可能是尾课的原因比较淡了,虽然没有一眼惊艳的视觉冲击感,但是给人一种很舒服的感觉,邻家妹妹的既视感,乍一看和毛晓彤有几分相似,笑起来更加神似,自然素人风格。 身材:一袭紧身白裙基本上已经勾勒出前凸后翘的身材了,退去衣服后,c-d的水滴形大灯,手感柔软,更惊艳的是圆润饱满的大翘臀还是很有视觉冲击力的,小腹平坦无赘肉。 【服务过程】: 小区高层公寓,无门禁,上楼开门后笑眯眯的看着你,先坐在沙发上寒暄,没有冷冰冰的让你去洗澡,聊了一会直接坐到你的腿

12 Jul 2026, 04:58 UTC815 viewsread 7 August 2026

抽奖玉蒲团&普陀苏苏300通用优惠券3张以及 2 份 38 星巴克现金咖啡券红包(编号L178357445705)已成功开奖: 创建人:徐錦江[764948602] 已参与人数:1182 中奖名单如下: 卐解[7343834668](奖品为短发波霸巨臀苏苏300通用优惠券) 自身抗体[7476451446](奖品为短发波霸巨臀苏苏300通用优惠券) 魔法少女小徐酱[7816133575](奖品为星巴克咖啡券红包38) 缺氧[7854554637](奖品为星巴克咖啡券红包38) 喔腰飘昶[7960084464](奖品为短发波霸巨臀苏苏300通用优惠券)

11 Jul 2026, 04:47 UTC614 viewsread 7 August 2026

【艺名】:苏苏 【价格】:1300p 【位置】:普陀 【联系方式】:@susu78795 【服务过程】:人照一致,脸比照片圆一点,白皮,皮肤紧实光滑柔嫩。进门媚眼含笑,瞬间消除初见的紧张感。约的算是尾课,妆容有点淡了,估计白天约会更惊艳。170左右,身材很炸裂,诠释了什么是梨形身材。不知道是不是白天吃了599的生蚝发挥超出正常水平,ls反而劝我,她都没急我急啥。确实是用心待客。穴紧水多,温度会逐渐提升,确实很爽。绝对会复刷,算是搬来普陀后,吃的最好的一次了!主要是性格好,让人感觉这不是cj,是约会。对了,有点像毛晓彤,很多瞬间都神似。 标签: @susu78795 #苏苏 1300p #普陀 #御姐 #白皮 #梨型 #大长腿 点击跳转原始报告【需先加群】 反馈狼友: 奇77 时间:2026-07-11 00:09:57 报告ID:14982 当前进度:1/2

10 Jul 2026, 14:45 UTC780 viewsread 7 August 2026
Forwarded from @yuputuanba

【体验评分】:9 【验证留名】:匿名 【妹子艺名】:苏苏 【联系方式】:@susu78795 【上课水费】:2300PP 【老师类型】: 温婉灵动女友 【整体补充】:人照基本一致,皮肤、触感和身材都是上佳,气质不俗,有底蕴,聊天很自然,很会温柔地调节气氛,感知细节的能力非常强。本人体力稍好,两次平均30分钟,没有一点不耐烦,全程跟和女友做爱没什么区别。 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

9 Jul 2026, 05:30 UTC≈1,300 views2 reactionsread 7 August 2026
Photo

抽奖编号:L178357445705 抽奖标题:玉蒲团&普陀苏苏300通用优惠券3张以及 2 份 38 星巴克现金咖啡券红包 抽奖说明:中奖优惠券的,在24小时内问玉蒲团认领,不然当放弃名额,星巴克咖啡券红包 24 小时不认领的也当放弃!口令领取: @susu78795 参与条件: 🎫 必须有用户名 🎫 加入-苏苏的频道 🎫 加入-《玉蒲团》百花形臀谱(上海、杭州) 奖品内容: 💰️ 短发波霸巨臀苏苏300通用优惠券 × 3 💰️ 星巴克咖啡券红包38 × 2 开奖条件:2026-07-12 12:21自动开奖 参与抽奖链接:https://t.me/cutelotterybot?start=join-L178357445705

👏2

18 Jun 2026, 16:12 UTC≈1,120 views4 reactionsread 7 August 2026
Photo

🎀 艺名: #苏苏 | 📍 区域:#普陀 💃 【基本硬件】 年龄: 00年 身高: 170 cm 体重: 98 斤 胸围: 天然真胸 D 🐻 个人描述: 纯天然D杯,满足你对白月光的一切幻想。雪白肌肤细腻如脂,顶级比例的S曲线与紧致蜜桃臀。可清冷、可妩媚,兼职开课,主打一个真实与走心✨ ✨ 【课程服务】 招牌: 激情 🐍 吻(口臭除外哦)、鸳鸯戏水 🛁 推拿: 🐻 推、臀腿漫游 调情: 6⃣️9⃣️互舔、口爆 💥、情趣丝袜、高跟诱惑👠、情趣制服 互动: 配合各种经典姿势,温柔体贴不催人 💰 【课程费用】 P: 1300 / 50 min PP: 2300 / 90 min 包时: 3500 / 3h (限 3 次) 包夜: 6000 / 8h (限 4 次) 🚫 【严禁及拒绝事项】 安全第一: 🚫 拒接无套、摘套、吃药、醉酒。 素质约课: 🚫 拒绝口嗨、讲价、中介、低素质、部分无理要求。 特别提醒: 🚫 桩机、大尺寸请绕

4

Showing the 10 most recent of 10 posts we hold for @susu8543. 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 — 1,288,638 of 1,480,688entries 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.

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

“苏苏的频道” (@susu8543), 192 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/susu8543.

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.