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Channel

我雷格豆

@wlgd_2

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

2,064subscribers

+11 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002443644721
TypeChannel
Username@wlgd_2
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/wlgd_2

Growth

2,0522,0642,0588 August 2026 — 2,053 subscribers9 August 2026 — 2,052 subscribers12 August 2026 — 2,061 subscribers15 August 2026 — 2,064 subscribers8 August 202615 August 2026
4 measurements spanning 7 days, net +11. 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 2,050–2,066 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 08:282,064+3
12 Aug 2026, 07:232,061+9
9 Aug 2026, 00:512,052-1
8 Aug 2026, 14:152,053first reading

Engagement

20 posts held, back to 2 May 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
70.0%
avg views ÷ 2,064 subscribers
Avg views / post
1,450
4 posts measured
Reaction rate
0.111%
reactions ÷ views · ER floor
Posts in window
4
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 3 of 4 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 3 August 2026
Posts held20 (2 May 20263 August 2026)
Views total5,780
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 14:15 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
1m 20s
Average length
20s

Measured directly from 4 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

27 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 81.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2281.5%
🤡311.1%
💩13.70%
🤮13.70%

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 14 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 27reactions 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 2 May 2026 to 3 August 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

3 Aug 2026, 19:32 UTC≈1,130 views1 reactionsread 8 August 2026

RT丝足 丫丫 2026.8.2 在雷蒙德前面去的但是没拍照,比较赶巧去的时候女娃第一天来,简单了解了一下知道是大店出身,长得也还算甜美就直接做了。 长得很像李斯曼,抖音可以搜一下,脸比李斯曼要瘦一点,丸子头鲨鱼卡显得很知性,穿的也是旗袍很有女人味。五官又是甜美的,大眼睛小嘴巴流畅脸型,像是刚开始有点女人味道的小女孩,第一反应其实有点像吴昕,她跟我讲有人说她像赵薇、戚薇什么乱七八糟的,但我看久了有点像段奕宏……抛开这些长的还是相当不错的,身材很有料,胸大屁股大而且手感都很好,我说她有少妇感她还不乐意听但真的我眼里建模就是轻熟挂,淘淘妈我好想要😋 因为之前做的都是不裸,所以全裸还是有点害羞的,大店出身是一把双刃剑,没有像直接做丝足的那么上道但是也有相当不错的服务,很难讲自己品一哈。指划鼻息都还行吧,熊漫很舒服很软,主要是有抓龙筋手法,而且在我丝足遇到的里面做的算很好的了,龟责挺凶的,我估计雷蒙德去也爽坏了。还有一把双刃剑就是太敏感

1

29 Jul 2026, 18:13 UTC≈1,370 views1 reactionsread 8 August 2026

这会不会才是本质女仆?我也在脑海中想过无数场面,之前巴不得两根手指起杠杆把女的扣飞起来,又有啥意义呢?可能真的没有这样的女仆给我带的能量大,能更让我缓解压力。 建模很像去年掀起热潮的高配小鱼,胸更大一点更瘦一点但是尺度要小一点,说话也蛮像的。其实挺想小鱼的该说不说,五五开吧各有各的好。 这次真的纯爱党的胜利了,上钟最开心的时候是他躺在我胸上看着我聊天的时候,999也只打了一次,但是我还是觉得很开心,很舒服。 但我很担心她跟本身话少的哥们聊不开,她也跟我讲有时候不知道该说什么话,可能是现在年轻人的通病,也刚干没多久给点时间。 还是有很多值得进步的地方,前途无限

1

29 Jul 2026, 18:06 UTC≈2,000 views3 reactionsread 8 August 2026
Photo

念兮私影 梦梦 2026.7.30 我该怎么说明这次私影呢,我真的觉得她太可爱了,哪怕她趴在我身上睡一钟(不是真的睡了),我也会一直摸着她的头说小狗狗真乖。 去的路上本身想都看看,看到梦梦的瞬间别的长什么样已经不重要了。带着兔耳朵发箍,比同事更精致的女仆包臀裙屁股后面还装了个小尾巴,下身红腿环吊带黑丝,战袍明显是动了心思的。不到160的个子穿了高跟鞋半身比也很逆天,腿细直不到80斤居然有B老天爷的恩赐。说实话遮住脸就是我心里预想的女仆了,不是说梦梦不好看的意思,在现在的女仆市场梦梦颜值也算很能打的,客服频道是本人,真人比照片更好看点。 上钟之后就很主动,躺在怀里腿搭在我的腹肌上,有点辣条音在我眼里倒也是可爱的加分项了,不由自主的上下其手,摸到胸的时候真的很惊喜了,手感绝顶的少女B胸。我遇到的嘴巴最小的女仆,本身很小只,亲上去感觉正儿八经樱桃小嘴了,舌头也是小小的糯叽叽的,不够通透是真的但是刚下水给我梦一点时间。后面舔胸更好玩,胳

3

27 Jul 2026, 17:55 UTC≈1,280 viewsread 8 August 2026

又是来七号空军的两小时 朋友点的女孩说见过我 特别挑…… nm商k也能玩到被拉黑😭

18 Jul 2026, 17:59 UTC≈2,700 views2 reactionsread 8 August 2026
Photo

RT丝足 窈窈 2026.7.19 很久没写长评了,但是窈窈我感觉是值得的,也觉得对得起我的暴论。万万没想到现在的丝足还能冒出这种大佛,吃到好菜第一反应是后悔,后悔来晚了。 160 85斤左右最喜欢的幼瘦身材,皮肤正常肤色,身上有小纹身但都是Kitty猫很可爱。腰围60上下,比例整体还算协调,曲线中等但是胸和屁股也是有肉的,照片肯定有p本人不是排骨。a+胸胸型偏水滴,乳头很小很粉嫩,rt丝足是不是就是乳头丝足啊。脸有点偏整容脸,柳叶眼笑起来弯弯的,鼻子完美到不真实,脸型小初见是有一点攻击性的脸,但是笑起来感觉软绵绵的。头发发质很好,过肩胛骨马上及腰对长发,做服务披在脸上也会感觉被香气笼罩。主播经常被说喜欢整容脸,我不在乎这个好看就完了,身材真的是最喜欢的娇小型,骨架也很小皮肤不差搂抱着都很舒服不想撒手。 服务确实是贴心,之前也来过这个店没见过这么细致的,第一次洗澡我是不习惯助洗的太热情了没拒绝掉,洗的很仔细不想引战但确实比某知名

2

18 Jul 2026, 16:06 UTC≈1,660 viewsread 8 August 2026

窈窈真神了 2026年所有给我做过丝足的人把钱退给我😭(除了悠悠,栗子和安安)(还有依依,笑笑和猫猫)

18 Jul 2026, 03:08 UTC≈1,720 views5 reactionsread 8 August 2026
Photo

其实一直再出击,没有像之前那么高要求了,捡着便宜的去。五月底的一次350美团让我觉得就那样吧,漂亮不漂亮尺度大不大就那样,差距到底有好大呢。也遇到了几个蛮不错的,很想写但是下笔总是打了又删,没什么分享欲了。 很多人私聊我问我,劝我别上岸,说没有我没有方向,其实本质上我就是一个试错次数更多的人而已,会用一些苍白的词藻拼接成一长串文罢了,正常审美正常爱好正常观点,仅此而已。可能我和其他人的差距就是,我真的没那么狗推。 到这就已经没啥意思了,现在无论是谁我都感觉不过是释放而已,质量高低的界限在我眼里越来越模糊。本身这周准备Mark一下最近起的还不错的,想了想真的没印象,名字都忘记了…… 我也蛮怀念一年前和私影妹妹拉拉扯扯,校园感拉满的日子,也怀念到处问情报提前享受大尺度的日子,现在是问了半天之后还是选择了距离近价格便宜的地方。我玩电报最开心的日子就是去年,在幸屿有豆荚菌的时候,跟大家都很聊得来我一有时间就去幸屿坐着……但后面种种事情吧

5

17 Jul 2026, 05:06 UTC≈1,590 viewsread 8 August 2026

https://t.me/xiaozhushou8bot?start=i-CbtMcLYP9d4zMjFl 多的给你们抽 虽然只有一个奖 爱你们

8 Jul 2026, 17:40 UTC≈2,490 views4 reactionsread 8 August 2026

你妈了个巴 跟你打了三个月游戏 冷不丁官宣是啥意思 我成免费代练了🤡 别逼我回归飘窗届

🤡3💩1

Showing the 12 most recent of 20 posts we hold for @wlgd_2. 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 — 596,193 of 1,480,975entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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

“我雷格豆” (@wlgd_2), 2,064 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/wlgd_2.

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.