美乐蒂明天就回来啦 大家可以开始预约
❤4

Channel
@szmldpd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
6,981subscribers
+884 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001380454568 |
|---|---|
| Type | Channel |
| Username | @szmldpd |
| Description | 私聊: @szmldpm 聊天抽奖群: @szklmgp 双向限制: @szmld_bot 报告频道: @szklmbg 足艺频道: @szklmmldzy |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/szmldpd |
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 13:45 | 6,981 | -4 |
| 7 Nov 2026, 05:10 | 6,985 | +9 |
| 4 Nov 2026, 05:38 | 6,976 | +5 |
| 1 Nov 2026, 05:21 | 6,971 | +16 |
| 29 Oct 2026, 14:49 | 6,955 | +34 |
| 27 Oct 2026, 00:56 | 6,921 | +18 |
| 23 Oct 2026, 18:17 | 6,903 | +20 |
| 20 Oct 2026, 18:37 | 6,883 | +28 |
| 17 Oct 2026, 19:30 | 6,855 | +26 |
| 15 Oct 2026, 00:34 | 6,829 | +34 |
| 11 Oct 2026, 20:22 | 6,795 | +55 |
| 5 Oct 2026, 08:02 | 6,740 | +80 |
| 27 Sept 2026, 05:56 | 6,660 | +72 |
| 18 Sept 2026, 08:15 | 6,588 | +67 |
| 14 Sept 2026, 06:17 | 6,521 | +40 |
| 10 Sept 2026, 09:57 | 6,481 | +53 |
| 5 Sept 2026, 15:16 | 6,428 | -8 |
| 1 Sept 2026, 20:53 | 6,436 | +34 |
| 29 Aug 2026, 23:48 | 6,402 | +27 |
| 27 Aug 2026, 02:39 | 6,375 | first reading |
22 posts held, back to 26 March 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 25 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.
| Window | Rolling 30 days · latest post in window 21 October 2026 |
|---|---|
| Posts held | 22 (26 March 2026 – 21 October 2026) |
| Views total | 5,200 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 03:31 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 13 November 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 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.
165 reactions across 22 posts, in 5 distinct kinds. The most used accounts for 90.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 150 | 90.9% | |
| 👍 | 12 | 7.27% | |
| 👌 | 1 | 0.606% | |
| 🔥 | 1 | 0.606% | |
| 😨 | 1 | 0.606% |
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 22 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 165 reactions 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 26 March 2026 to 21 October 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’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) 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).
美乐蒂明天就回来啦 大家可以开始预约
❤4
#福田 #美乐蒂 抓鸟报告:https://t.me/szklmbg 验证留名:哈哈王 验证地区:福田 抓鸡花费:698 颜值身材 :10分 邻家初恋脸 体验细节 :早听说小美的大名,奈何平时档期太满一直没机会出击,这次趁着休假直奔福田。进门就看见她穿着一身纯欲风的白色针织吊带短裙在门口迎我,一双水灵灵的大眼睛笑起来弯成月牙,瞬间把我的i人局促感治愈了一大半。 洗白白后躺在床上,先是一套温柔舒适的背部放松,手法细腻得像是在云端漫步。随后翻过身来进入正题,作为店里第一次尝试的“jio出”初体验,刚开始难免有点紧张,小美仿佛看穿了我的小心思,噗嗤一声笑出来,随后放慢了节奏。只见她把精心修剪过精致法式美甲的小脚丫缓缓探过来,细腻丝滑的触感瞬间隔空直达大脑!那双灵活的小脚在灵根上轻轻滑动、踩踏,脚心温热的触感夹杂着若即若离的微压,这种前所未有的新奇体验让我整个人直接酥麻到脚底板。 伴随着空气中微妙的氛围,小美的手艺与足技交替输出,忽轻忽…
❤6
抓鸟报告:https://t.me/szklmbg 验证留名:xxx 验证地区:福田 抓鸡花费:598 颜值身材 :完美很耐看(喜欢甜妹和小萝莉的非常值得尝试) 体验细节 :第一次找小鹿老师,本人属于非常难被🦶🏻出来的,但是还是败在了小鹿老师的功夫下,一见面感觉就像和一个邻家女孩在约会聊天,小鹿老师很甜美可爱,用手的时候特别有感觉,小鹿老师看起来很小一只让人很有保护欲,服务起来又有点负罪感,因为我比较喜欢盯着看,所以一直看着小鹿老师,小鹿老师也会看着我,然后一会又偷笑一下看向别处,也是特别有邻家女孩白月光的感觉好吧,然后用🦶🏻的时候也是特别舒服很有感觉力度刚刚好,然后一边看着小鹿老师用🦶🏻一边看着小鹿老师的脸会很有感觉非常的加分,离上一次隔了三个多小时这次30分钟就缴械投降了,然后小鹿老师的按摩手法也很舒服,已经准备这周再次支持一次了 是否事逼 :完全没有 优点缺点 :无可挑剔没有缺点 推荐程度 :永远比满分的标准还要再多(没开…
❤7
魅魔小鹿在岗啦 预约 @szmldpm
❤7
直发和双马尾的小鹿🥲🥲 预约:@szmldpm
❤4
今天电报官方出问题了 大家联系不上的可以加qq 1591914964 Telegram目前在全球多个国家和地区出现服务异常,大量用户反映无法正常发送消息、接收图片和视频,部分手机及电脑端一直显示“Connecting(连接中)”或“Updating(更新中)”。 据Downdetector监测,相关故障报告短时间内明显增加。目前Telegram尚未说明具体原因及恢复时间。
❤4
抓鸟报告:https://t.me/szklmbg 验证留名:消费者1 验证地区:福田 抓鸡花费:698 颜值身材 :真人更美更好看,巴掌脸,女友感满满,100分。 体验细节 :一直一直都很想找美乐蒂老师,但是一直因为各种原因而搁浅,最近也是终于有机会去找美乐蒂老师了,超激动的! 先联系客服问了档期,确认美乐蒂老师正好有空,就赶紧定下来了。因为是第一次,店的位置很好找,就是车位不好找,因为找车位耗掉了剩余的时间,下次还是绿色出行吧,以至于我没有多余的时间添置酸奶作为道具一同上去(看了之前的报告听闻有此玩法,小小遗憾)。按照客服指引上楼,到门口正好碰上美乐蒂老师来开门,迎面撞了个满怀,第一印象就被惊艳到了,真人真的好好看,超级漂亮,给我感觉就是整个人香香软软的,说话也热情,带着笑就把我往里引,瞬间冲淡了我作为新人第一次来的拘谨。 Prat1:进房之后,我三下五除二的脱干净马上去洗澡了,洗完澡就趴上床,开始今天的推背环节。美乐蒂…
❤10
🔥可爱风小鹿上线啦 周末预约位置紧张 大家尽量提前预约 预约: @szmldpm
❤4
📢 福田店莉莉新增D套餐 Sm 套餐内容和毛毯熊的一样 包含释放 道具齐全 大家可以放心预约 预约: @szmldpm 在岗信息群组: @szklmgp
❤6
感谢大家一年多来的支持 因为我们之前一直都有一个靠谱的口碑 为了保证服务质量和人员质量 后续会建立新人筛选机制 不单单由我们店内管理进行筛选 也让大家进行筛选 新人前期都会放出5-8个半价给大家 希望大家都能帮忙给出客观的报告和评价😁 半价卷的放出和评分规则大家可以后续多关注一下我们的新人内部抽奖群 这个事情在放评价和报告之前或者以后都不会告知新人妹妹 免得伤她的心 大家可以放心写实 之前群组有风控 大家进一下新的 大家加入新群组 旧抽奖群组有风控问题 导致无法创建抽奖 目前只审核有过预约记录的人 https://t.me/szklmnb
❤6
更新一篇小鹿的报告💗 预约: @szmldpm
❤7
小鹿新鲜的艺术照出炉了 顶配纯欲🦄🦄🦄 预约: @szmldpm
❤7👍2
Showing the 12 most recent of 22 posts we hold for @szmldpd. 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.
We recorded 1 post on @szmldpd 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.
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 17 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“深圳福田美乐蒂抓龙筋丝足SM” (@szmldpd), 6,981 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/szmldpd.
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.