#福田 #莉莉
Channel
深圳嫩妹丝足抓龙筋报告
@szklmbg
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,801subscribers
+137 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003774394852 |
|---|---|
| Type | Channel |
| Username | @szklmbg |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/szklmbg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 16:38 | 1,801 | +54 |
| 10 Aug 2026, 13:18 | 1,747 | +69 |
| 7 Aug 2026, 13:50 | 1,678 | +14 |
| 6 Aug 2026, 20:15 | 1,664 | no change |
| 6 Aug 2026, 20:06 | 1,664 | first reading |
Engagement
22 posts held, back to 1 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 39.9%
- avg views ÷ 1,801 subscribers
- Avg views / post
- 719
- 22 posts measured
- Reaction rate
- 0.154%
- reactions ÷ views · ER floor
- Posts in window
- 22
- of 22 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 6 of 22 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 22 (1 August 2026 – 7 August 2026) |
| Views total | 15,817 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:45 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
9 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 77.8% | |
| 👍 | 1 | 11.1% | |
| 👏 | 1 | 11.1% |
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 6 of the 22 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 1 August 2026 to 7 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
抓鸟报告:https://t.me/szklmbg 验证留名:umi 验证地区:福田 抓鸡花费 :998/2 颜值身材 :8.8/10 体验细节 :一进门就看到老师穿着一身红色长裙等着,穿着高跟鞋看着得有1m7,大姐姐来的,然后就放完东西去洗澡了。 按摩的时候老师很温柔,一开始是坐在床上,后面是老师站在床前帮忙按(能看到白白的腿子),老师的手法会温柔一些,力度上挺合适的不会痛(可以再大力点),按肩膀很舒服,穴位按的很对(看来学习到位了),按臀部的时候很刺激,一只手按一只手用指甲轻轻地从蛋蛋上划过去,又痒又爽(就像用手在皮肤上划那种,但是蛋蛋的敏感度更高),划了会🐣就硬了。按的时候和老师聊了会天,问了下她想叫什么名字(看到墙布是懒羊羊还以为是这个名字呢),她说想叫“莉莉周”(好像是取自于一部电影),再按了会就开始正面了。按摩手法的话应该有老米4、5成了吧 老师先是问我喜不喜欢脚(看来去了很多足控兄弟啊),我点点头,老师就说那就先足…
👍1
题外话,可能有老哥看到报告里面S内容会对毛毯熊产生恐惧或者不喜欢那时候的风格,但我得给后续的老哥做保证,毛毯熊老师真的是两种风格,日常还有上abc课性格都非常温柔非常nice,放心上龙筋课,除非你有要求不然她不会展示S性格的。 是否事逼 :no 优点缺点 :很专业。S课无论入门/初级都能驾驭。温柔,严主随意切换。缺点不能天天来 推荐程度 :不尝试你就走宝了!!!!! 老师艺名 :毛毯熊 客服联系 : @szmtxnspm 温馨提醒 :报告仅供参考,不要太沉迷报告.自己体验一下
抓鸟报告:https://t.me/szklmbg 验证留名:喜毛毯乐 地区:深圳 抓鸡花费:1496 服务内容:S课 颜值身材 :jiojio一点味都没有顶,身材一级棒。好爱好爱。脸也好漂亮 课程记录: 自从上次下课回家后,就心里很不舒服,因为没有完整的上好一节课:一次就结束了,而且很短的时间,只开发了一个打鸡的快感,射了后,我就主动说了安全词就结束了,然后跟温柔状态的mtx聊了好一会天就回家了,虽然回去的路上很高兴,甚至听起了张国荣的《风继续吹》,但回到家后自己静下来了,后劲才慢慢发挥出来:(我想那种感觉了,我想主人了。 睡前开始回味起今天的课程(同时也起飞了1次),心里开始不舒服了,气自己不争气,气自己那么快就贤者状态了,心里就很不舒服,没让主人玩尽兴,自己也高估了自己可以2次。也可能第一次来没放太开。 结果第二日就听到"噩耗",毛毯熊休假了。听说是要到8月头才回来上班。那天天也灰蒙蒙,就如同我的…
❤3👏1
#南山 #毛毯熊
抓鸟报告:https://t.me/szklmbg 验证留名:小小怪 验证地区:南山 抓鸡花费:798 S课 颜值身材 :满分 体验细节 :潜水了了好久,看着报告也是决定尝试一下mtx的s课,还跟客服说了让老师提前多喝点水把颜色变透明些,要尝圣水(虽然最后时间原因没喝上) 课室很好找,安全 进门就看到mtx坐在一楼见我进来也是热情的打招呼,声音很温柔好听,人也好漂亮跟频道泳池照一致,招呼过后老师让上二楼,进到房间准备脱衣洗澡,但是之前去考拉脱衣洗澡是回避的,老师在房间看着我,本来就紧张的情绪又不太好意思脱了,老师就打趣怎么还害羞啊,一想反正最后都要被玩弄的,无所谓了,洗完澡躺床上,跟老师讲了是第一次上这种sm课,老师就跟我讲了下规则,选了“主人”称谓,还有安全词,遇到不能接受的就说出来,真的很暖心 课程开始后,由于比较紧张,总是频繁出错,主人就让我选择惩罚部位,惩罚期间完成的好有奖励,就选了jj,然后主人就问我“贱狗是不是喜欢被…
#南山 #毛毯熊
#龙华 #瑜伽老师
抓鸟报告:https://t.me/szklmbg 验证留名:生椰拿铁 验证地区:深圳龙华店 抓鸡花费: 598 颜值身材 :我的理想型 体验细节 : 两周没出击,周五临近放假闲来无事打过飞机之后又意犹未尽,按原计划提前一天预约了我温柔美丽大方可爱善良体贴温婉端庄的瑜伽老师,为了不让老师失望,作为被老师寄子厚望的优秀三好学生,晚上还补了波生蚝,准备第二天交上满满的作业。翌日,一想到准备又能见到朝思暮想的瑜伽老师,午睡时脑子里已经充满了各种going down 的激情授课画面,撑伞撑到辗转反侧,干脆结束幻想实刻提前奔赴钟声爱情。抵达目的地后心急如焚冲上楼层,进入课室便见到了每次都笑着迎接爱徒的老师,有一股粉红泡泡涌上心头,不仅仅是通过幽暗的廊道进入敞亮的厅室,明媚的笑容更是我的心之所向。一如既往径直走向瑜伽授课室,丝足缠绵的记忆催促着我感紧洗好趴下。许久未见,一边向老师寒暄几句,一边被张弛有度的揞魔舒缓着高速驾车一小时的紧绷状…
❤1
抓鸟报告:https://t.me/szklmbg 验证留名:liegen 验证地区:南山 抓鸡花费: a 套 颜值身材 : 高挑瘦长,人照一致,但比照片甜 体验细节 :第二次出击体验感不错,与客服约好时间后,提前二十分钟到达,留了门,进来就能看到 vv,进门很热情邀请我入闺房,薇薇遂吐槽为什么大家都爱在外面客厅换鞋。客厅的薇薇本人和照片差别不大很白,身材很戳我 xp,腿细长又白又笔直,穿的漏脚趾黑高跟拖鞋,狠狠吸睛。可能是 a 餐原因,说话很慢很温柔,能聊天。为什么说是客厅的她呢?且往下看。 开始前,薇薇先问我背面要不要按摩,选择了按背,超级温柔。能够接受的尺度以及需要避开的内容。由于我不是 M,所以感受也很好,我只提到纯恋足。vv 也是没有按过背,遂将我作为第一次练手👋 期间发现她 vv 特别多小问题完全不冷场,不尴尬。“你说什么时候开始我们就正式开始”在我转过来 A 面得以近距离观赏其美貌长腿玉足。同时 vv 👋手不停…
❤1
#南山 #女大薇薇
#南山 #女大薇薇
Showing the 12 most recent of 22 posts we hold for @szklmbg. 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 — 23,699 of 1,478,351entries 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.
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.
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.
“深圳嫩妹丝足抓龙筋报告” (@szklmbg), 1,801 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/szklmbg.
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.