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Telegram profile photo for ®𝘿𝙖𝙙𝙏𝙑(杭州、上海)

Channel

®𝘿𝙖𝙙𝙏𝙑(杭州、上海)

@lyfulishe

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

93,483subscribers

+34,390 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003043636750
TypeChannel
Usernames@hangzhoudad @lyfulishe
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held72
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/lyfulishe

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 66% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

59,09393,48376,2886 August 20265 November 2026
72 measurements spanning 91 days, net +34,390. 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 53,935–98,642 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 72
Measured (UTC)SubscribersChange
5 Nov 2026, 18:4593,483+428
4 Nov 2026, 15:4193,055+420
3 Nov 2026, 13:3692,635+554
2 Nov 2026, 10:1792,081+500
1 Nov 2026, 06:5691,581+61
31 Oct 2026, 05:5791,520+459
30 Oct 2026, 02:4791,061+35
29 Oct 2026, 00:4791,026+352
28 Oct 2026, 02:1690,674+387
27 Oct 2026, 04:4790,287+244
26 Oct 2026, 07:3790,043+635
25 Oct 2026, 06:2089,408+694
24 Oct 2026, 07:2888,714+415
23 Oct 2026, 06:3188,299+380
22 Oct 2026, 08:5087,919+44
22 Oct 2026, 06:0187,875+717
21 Oct 2026, 00:4987,158+3
20 Oct 2026, 22:5987,155+621
19 Oct 2026, 19:5886,534+22
19 Oct 2026, 19:0886,512first reading

Engagement

215 posts held, back to 3 August 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 240 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.94%
avg views ÷ 93,483 subscribers
Avg views / post
3,680
81 posts measured
Reaction rate
0.222%
reactions ÷ views · ER floor
Posts in window
81
of 215 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 76 of 81 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 5 November 2026
Posts held215 (3 August 2026 – 5 November 2026)
Views total298,330
Reactions total634
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 16:39 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

Video runtime
8m 10s
Average length
9s

Measured directly from 56 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

1,657 reactions across 202 posts, in 8 distinct kinds. The most used accounts for 68.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,14168.9%
👍27016.3%
🔥24014.5%
🥰20.121%
🍌10.06%
🎉10.06%
😁10.06%
🫡10.06%

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 204 of the 215 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 1,657 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 215 most recent posts we hold, published 3 August 2026 to 5 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.

Telegram Stars

Stars received
173
across the posts below
Posts paid on
155
of 215 we hold a reading for · 72%
Most on one post
6
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lyfulishe. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 215 most recent posts we hold for this entry, published 3 August 2026 to 5 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 16 of 81 posts held from the last 30 days (19.8%) 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).

5 Nov 2026, 08:54 UTC≈1,030 views1 reactions1 Starread 5 November 2026
Photo

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👍1

4 Nov 2026, 15:39 UTC≈2,490 views9 reactions1 Starread 5 November 2026
Video

🏷【老师艺名】:#绒绒 ✏️【联系老师】:@taozi770880 👛【上课费用】:800P+100(小视频) 🏡【课室环境】:#临平区 📌【老师画像】:#嫩妹 #肤白 #巨臀 #人工白虎 #一线天 🎞【观影编号】:绒绒1(评论区输入) 👤整体印象 颜值中等水平 洛丽塔造型 🖌上课妆造 萝莉妆造 📍身体参数 163 | 100 | B ❤️做爱体验 BB真的很漂亮 一线天 馒头鲍 听话乖巧姿势配合 她还能提供药 快男的福音 ✨✨✨✨✨老师总结✨✨✨✨✨ 家里很多专业的萝莉装 声音很甜美 很粘人那种 排课宽松 一天就接3课 #杭州 #98 #楼凤 #cos #萝莉 📖添加全家桶 返回目录页⬅️

❤6👍2🔥1

4 Nov 2026, 08:58 UTC≈2,880 views7 reactions1 Starread 5 November 2026
Photo

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❤5👍1🔥1

3 Nov 2026, 20:46 UTC≈3,410 views13 reactions1 Starread 5 November 2026
Video

🏷【老师艺名】:#饭饭 (95口爆) ✏️【联系老师】:@ccciiks 👛【上课费用】:600P 🏡【课室环境】:#上城区 📌【老师画像】:#御姐 #高挑 #懂男人 #苗条 #人工白虎 #高颜值 🎞【观影编号】:饭饭1(评论区输入) 👤整体印象 五官精致 谈吐大方 身材高挑 服务一流 🖌上课妆造 清新御姐 📍身体参数 168 | 90 | B+ ❤️口爆体验 已经二刷了 口技没得说 而且十分敬业 残疾人的福音 给到夯 ✨✨✨✨✨老师总结✨✨✨✨✨ 飞机帮她设置了私信文件夹 直接800条未读 这就是满姐的实力 约课地狱难度 提前一周约 这次饭饭老师非常大方为没约上的兄弟献上一段口爆精彩小视频 感谢大家的支持 #杭州 #95 📖添加全家桶 返回目录页⬅️

❤10🔥2👍1

3 Nov 2026, 18:26 UTC≈3,250 views8 reactions1 Starread 5 November 2026
Photo

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❤6👍1🔥1

2 Nov 2026, 17:05 UTC≈4,380 views12 reactions1 Starread 5 November 2026
Photo

🏷【老师艺名】:#旺仔 ✏️【联系老师】:@wangzai20080319 👛【上课费用】:900P+200 🏡【课室环境】:#拱墅区 📌【老师画像】:#嫩妹 #小蛮腰 #三点粉 #蜜桃臀 #完美炮架 🎞【观影编号】:旺仔1(评论区输入) 👤整体印象 身材苗条 臀部很翘 🖌上课妆造 俏皮可爱 美瞳动人 📍身体参数 166 | 96 | B 人工白虎 蝴蝶逼 ❤️做爱体验 身体柔韧性好 塌腰 翘臀后入爽歪歪 逼逼紧致水润 做爱投入 姿势配合 ✨✨✨✨✨老师总结✨✨✨✨✨ 可爱身材又好的嫩妹 听话乖巧 美中不足胸部不是很大 📖添加全家桶 返回目录页⬅️

❤10👍1🔥1

1 Nov 2026, 16:58 UTC≈3,940 views9 reactions1 Starread 5 November 2026
Photo

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❤7👍1🔥1

1 Nov 2026, 09:50 UTC≈2,960 views9 reactions1 Starread 3 November 2026
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🎁限时福利 100优惠卷 无门槛 #活动 限时3天,仅限B套餐。备注「大D推荐」直接去 💃老师:小水 #上城 ✏️资料:https://t.me/lyfulishe/2019?single 💰活动价:898 (原价:998) 📮 参与条件: 🔸备注 “大D推荐” 直接去 🔸课后需要作业反馈 ——————————————— 💌联系老师: @hzppykf

❤7👍1🔥1

1 Nov 2026, 08:37 UTC≈2,930 views6 reactions1 Starread 3 November 2026

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❤4👍1🔥1

1 Nov 2026, 06:17 UTC≈2,640 views7 reactions1 Starread 3 November 2026
Forwarded from @dadjingxuanPhoto

🙋🏻‍♀️ 花名:#糯糯 💌 联系:@nuonuoc 🍓 罩杯:B 💲 价格:900P 🏷 标签: #杭州 #嫩妹 #69 #甜妹 狼友验证报告 ⚡️大D 认证 @hzdadbaobao

❤5👍1🔥1

31 Oct 2026, 19:34 UTC≈3,560 views10 reactions1 Starread 3 November 2026
Photo

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❤8👍1🔥1

31 Oct 2026, 15:43 UTC≈3,150 views9 reactions1 Starread 2 November 2026
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❤7👍1🔥1

Showing the 12 most recent of 215 posts we hold for @lyfulishe. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@lyfulishe edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
2 September 2026
Most recent edit
25 October 2026

Posts recorded as deleted after publishing

We recorded 67 posts on @lyfulishe as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
5 November 2026
Median time before seen missing
38 hours
Seen missing in the last 30 days
23

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 11 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“®𝘿𝙖𝙙𝙏𝙑(杭州、上海)” (@lyfulishe), 93,483 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/lyfulishe.

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.