早上玩手机的功夫 小姨子竟在一旁发浪 发生了不可描述的事情 结果被老婆发现 于是三方会战 没想到女儿看到后 也要求加入。。。。 ——————————————- 评论区【 泡芙母女1 】自提 🤣 #楼凤 #出击 #外围 #杭州 片友们福利讨论群 @hzdadbaobao 👈 返回导航页
❤3👍3🔥3

Channel
@lyfulishe
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
72,561subscribers
+13,468 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003043636750 |
|---|---|
| Type | Channel |
| Username | @lyfulishe |
| Description | 杭州验牌官 出击指向灯 【大D全家桶 一键订阅 防止走丢】 https://t.me/addlist/DDD97ahjiwoyNTJk 【杭州狼友之家】 @dadpianyou 【杭州福利姬认证榜单】 @dadjingxuan 推广联系 | @dadbaobao 双向机器人 | @dadzhuli_bot 推特X | @dadbaobao |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/lyfulishe |
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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 14:19 | 72,561 | +1,214 |
| 17 Sept 2026, 00:00 | 71,347 | +979 |
| 15 Sept 2026, 01:00 | 70,368 | +656 |
| 13 Sept 2026, 07:16 | 69,712 | +468 |
| 11 Sept 2026, 12:42 | 69,244 | +971 |
| 8 Sept 2026, 20:59 | 68,273 | +1,067 |
| 5 Sept 2026, 16:17 | 67,206 | +756 |
| 3 Sept 2026, 14:41 | 66,450 | +468 |
| 2 Sept 2026, 06:53 | 65,982 | +228 |
| 1 Sept 2026, 08:07 | 65,754 | +416 |
| 31 Aug 2026, 05:54 | 65,338 | +352 |
| 30 Aug 2026, 04:35 | 64,986 | +260 |
| 29 Aug 2026, 06:54 | 64,726 | +276 |
| 28 Aug 2026, 08:13 | 64,450 | +303 |
| 27 Aug 2026, 11:13 | 64,147 | +311 |
| 26 Aug 2026, 09:23 | 63,836 | +233 |
| 25 Aug 2026, 07:07 | 63,603 | +261 |
| 24 Aug 2026, 07:33 | 63,342 | +444 |
| 22 Aug 2026, 13:52 | 62,898 | +422 |
| 21 Aug 2026, 07:38 | 62,476 | first reading |
103 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 119 pages of Telegram’s post history, 20 posts per page.
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 60 of 61 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 September 2026 |
|---|---|
| Posts held | 103 (3 August 2026 – 21 September 2026) |
| Views total | 263,630 |
| Reactions total | 434 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 21 Sept 2026, 05:59 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.
Lifetime counters from Telegram’s own channel header, read 21 September 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.
Measured directly from 23 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.
696 reactions across 95 posts, in 5 distinct kinds. The most used accounts for 63.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 444 | 63.8% | |
| 👍 | 130 | 18.7% | |
| 🔥 | 120 | 17.2% | |
| 🍌 | 1 | 0.144% | |
| 🎉 | 1 | 0.144% |
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 96 of the 103 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 696 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 103 most recent posts we hold, published 3 August 2026 to 21 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.
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 103 most recent posts we hold for this entry, published 3 August 2026 to 21 September 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.
早上玩手机的功夫 小姨子竟在一旁发浪 发生了不可描述的事情 结果被老婆发现 于是三方会战 没想到女儿看到后 也要求加入。。。。 ——————————————- 评论区【 泡芙母女1 】自提 🤣 #楼凤 #出击 #外围 #杭州 片友们福利讨论群 @hzdadbaobao 👈 返回导航页
❤3👍3🔥3
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🎰 全杭中大圈外围苏婷 @hzst521 福利抽奖 📮 参与条件: 🎫 加入-杭州中高端外围🉑无🉑上门 🎫 加入-®𝘿𝙖𝙙𝙏𝙑(杭州、上海) 🎁 奖品内容: 💰️ 100抵扣卷 × 5 💰️ 200中大圈抵扣卷 × 5 💰️ 9.9红包 × 1 ⚠️ 抽奖说明: 抽奖者进讨论群 @Hztlq521 📅 开奖日期:(北京时间) 2026年09月25日 17时08分00秒
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👑大头鸭福利社👑 主营类型均为个人兼职,因是个人兼职所以接受度普遍都比较高!例如sf,户外,车震,Sm,,3P,3通,主人布置的任务啥的!主要做过夜(12H)、下午茶(5-6H),包天(24H),😀 可以指定女孩子出门穿搭,本俱乐部的女孩子普遍文化程度较高,带出门有面子,说话有情商(带脑子),女友感拉满,情绪价值高!😀 女孩子除了约会还能做什么呢?例如商务洽谈,ktv喝酒,角色扮演...外地旅游的老板不知道哪里玩也可以当地陪! 女孩子不是那种一脱衣服到处都是纹身,🚬不离手的人的,也不是精神小妹! 多半都是知书达理,会穿搭,接受教育程度较高切听话,不事逼!😀 不建议单次!!单次较贵 过夜价格7-8k之间 下午茶6k 3小时 7-8k 5小时 包天1.1-1.4之间 有会费(88)!会费可以抵扣尾款 联系方式 📱客服:@dty235 电报群:https://t.me/Q1850888 电报频道:https://t.me/zzz…
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Showing the 12 most recent of 103 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.
@lyfulishe edited 1 post 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.
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.
Named by 7 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.
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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“®𝘿𝙖𝙙𝙏𝙑(杭州、上海)” (@lyfulishe), 72,561 subscribers as measured 19 September 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.