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Channel

流苏之地

@liusudi

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

1,794subscribers

+378 since we began measuring on 6 September 2026

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

Register entry

Telegram ID-1004437266460
TypeChannel
Username@liusudi
CreatedBetween 1 June 2026 and 22 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 September 2026
Last confirmed live17 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/liusudi

Growth

1,4161,7941,6056 September 2026 — 1,416 subscribers6 September 2026 — 1,416 subscribers9 September 2026 — 1,709 subscribers13 September 2026 — 1,757 subscribers17 September 2026 — 1,794 subscribers6 September 202617 September 2026
5 measurements spanning 11 days, net +378. 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 1,359–1,851 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 15:011,794+37
13 Sept 2026, 18:021,757+48
9 Sept 2026, 14:171,709+293
6 Sept 2026, 17:231,416no change
6 Sept 2026, 16:471,416first reading

Engagement

14 posts held, back to 22 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
64.9%
avg views ÷ 1,794 subscribers
Avg views / post
1,160
14 posts measured
Reaction rate
0.17%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 5 of 14 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 September 2026
Posts held14 (22 August 20266 September 2026)
Views total16,288
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Sept 2026, 17:23 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

12 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 58.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
758.3%
🐳325.0%
👍216.7%

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 5 of the 14 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 22 August 2026 to 6 September 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 Sept 2026, 03:59 UTC442 viewsread 6 September 2026
Forwarded from @ruipinwailouPhoto

与她的接触,先自然是隔着屏幕的。文字软软地排成行,不慌,不赶,却似能瞥见她不紧不慢的笑意。 见面后,这份温柔便淌入了现实,从你进门那一步就漫漫地浸过来。你的衣服她替你褪了,你的口渴她察觉了,你的疲惫她没说破,只是软软地覆上了你的手心与手背。 就这样被她牵着走。 灯光被雾气吃成昏黄,她滑进水里,也把你拉进去。水是热的,她是软的。水波是柔的,肌肤是润的。几乎要分不清哪一部分是水,哪一部分是她。快要辨不明哪一寸是浪,哪一寸是芳。 环住她,她不躲;你要深,她便迎;你不喊,她不停;她吮吸,你屏息;她舔舐,你魂失。。。。。。 体温一点点递过来,体温一点点渡过去,水温渐凉,也几乎没有察觉。 床上依旧是她的主场。你慢下来,她静静地等;你急起来,她绵绵地跟。你停住,她不催;你进一寸,她紧一分。你落到哪里,她缠到哪里。从不说疲惫,更不问快慢。 你越索取,她越满足。你越亢奋,她越温顺。

6 Sept 2026, 01:47 UTC498 viewsread 6 September 2026
Photo

🎰 贤时局白嫖抽奖第二十二波 📮 参与条件: 🎫 加入-流苏之地 🎫 加入-兰兰的频道 🎫 加入-重庆水群 └ 🎟️ 发言数大于 8 条 🎫 加入-小小的房间 🎫 加入-安安 🎫 加入-雾都逼友の谈 🎫 加入-重庆寻欢录 🎁 奖品内容: 💰️ 兰兰1P白嫖劵 × 1 💰️ 安安1P白嫖劵 × 1 💰️ 小小1P白嫖劵 × 1 💰️ 流苏1P白嫖劵 × 1 ⚠️ 抽奖说明: 贤时局白嫖抽奖第二十二波 总计85个自营老师已参与,感谢支持! 1.老师生理期不同,中奖后在3个开课日兑奖;过期不侯,不得买卖、转让! 2.退出频道、炸号,不予兑换。 3.中奖后凭获奖信息自行联系老师兑奖,要求反馈报告。 4.如遇兑奖过期、炸号等状况,经老师确认后,老师的白嫖劵流入群内活跃度抽奖,按相应规定即时抽出。 注:管理员将不定期踢出水群内“疑似人员”,最终中奖人若已被踢出水群,不得领奖。奖品转入活跃度抽奖。遭受误踢可申报,一

5 Sept 2026, 04:42 UTC648 views2 reactionsread 6 September 2026
Photo

🎰 新老师浴缸流苏工兵抽奖活动! 📮 参与条件: 🌏️ 归属地 重庆,四川 🪪 必须设置用户名 🎫 加入-流苏之地 🎫 加入-流苏花园 └ 🎟️ 发言数大于 3 条 🎫 加入-重庆狼友聚集大队 └ 🎟️ 发言数大于 1 条 🎁 奖品内容: 💰️ 流苏老师工兵优惠卷300,优惠后的价格为400p! × 2 ⚠️ 抽奖说明: 1.中奖24小时内联系约课,两天内出击完提交报告,去不了请不要抽!禁止转让售卖! 2.工兵也可以转身,不要勉强! 📅 开奖日期:(北京时间) 2026年09月07日 12时00分00秒

2

24 Aug 2026, 03:55 UTC≈2,300 views4 reactionsread 6 September 2026
Photo

派大星的朋友叫海绵什么呢?🤔

🐳31

22 Aug 2026, 06:08 UTC≈1,860 viewsread 6 September 2026
Forwarded from @CQCBDBG

【妹子花名】:#流苏 【联系方式】:@liusubaobao 【验证留名】:wu jin 【大概位置】:棕榈泉 【修车水费】:700p(工兵-100) 【高端服务】:有的打✅   ① 舌吻 ✅   ② 69舔逼 ✅   ③ 情绪价值 ✅   ④ 毒龙 ✅ 【人照相似】:9 【硬件身材】:9 【软件态度】:9 【服务点评】:9 【推荐程度】:9 【细节描述】: 提前确认好时间后到达,先到商场停车,再走出来到小区,遥控进门后的接待热情。照片和本人相似度比较高,实际状态没有明显落差,整体形象、身材比例和精神状态都比较在线。沟通几句以后能够明显感觉到老师性格比较随和,回应也比较及时,不会让人有明显的陌生感。 马上安排泡泡浴,浴中萧真的爽。而且萧了大半时间。深喉舔蛋蛋,浴室整完,马上去床上,换上一套空姐服。体验感拉满。后续不表什么都体验了一遍。最后后入出货走人。下次一定还来。 最后结束时的态度也比较加分,没有明

Showing the 12 most recent of 14 posts we hold for @liusudi. 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

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 5 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“流苏之地” (@liusudi), 1,794 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/liusudi.

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.