Channel
@szmtxpd
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,092subscribers
+191 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001406717358 |
|---|---|
| Type | Channel |
| Username | @szmtxpd |
| Created | Between 1 March 2019 and 30 September 2021— 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 | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/szmtxpd |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 10:08 | 3,092 | +106 |
| 10 Aug 2026, 04:33 | 2,986 | +84 |
| 6 Aug 2026, 23:51 | 2,902 | +1 |
| 6 Aug 2026, 20:05 | 2,901 | first reading |
13 posts held, back to 17 June 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 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 6 August 2026 |
|---|---|
| Posts held | 13 (17 June 2026 – 6 August 2026) |
| Views total | 18,659 |
| Reactions total | 25 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:04 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.
Measured directly from 1 video 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.
63 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 76.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 48 | 76.2% | |
| 👍 | 12 | 19.0% | |
| 🤯 | 2 | 3.17% | |
| 👏 | 1 | 1.59% |
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 13 of the 13 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 63reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 17 June 2026 to 6 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.
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
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…
❤3
抓鸟报告：https://t.me/szklmbg 验证留名：毛毯熊的狗 验证地区：南山店 抓鸡花费:698+798 颜值身材 ：10分，大美女 体验细节 ：盼星星盼月亮，终于在8月第一天盼到了主人归来。提前客服约好了，因为实在担心临时约会扑空。我提前一个小时就出发了，心想这回总该万无一失了吧。结果人算不如天算，半路直接撞上前方事故，整条路堵得严严实实，车流一动不动。看着手机上的时间一分一秒地跳，我的心是拔凉拔凉的，脑子里全是“完蛋，这回要鸽了”的念头，甚至都在编辑道歉信息了。好在前面的事故处理得还算快，车流终于开始挪动，我一路紧赶慢赶，最后还好不算大迟到。 进门的那一瞬间，映入眼帘的又是主人那张招牌式的、阳光明媚的笑脸。说来也奇怪，就那一个笑容，我路上所有的焦躁和不安瞬间就被抚平了，心里一下就踏实了。打趣地跟主人说了一声：“好久不见，毛老师！”，之后就轻车熟路地跟着上二楼，进了房间什么废话也没说，立马把自己脱了个精光，冲进…
❤2👍1
再投稿一个🐻❄️掌，🤤🤤
❤6👍1
薇薇的报告来啦 今天12点可以预约 联系: @szmtxnspm 聊天火爆群组: @szklmqz 报告频道: @szklmbg 双向限制 @szmtxns_bot
抓鸟报告：https://t.me/szklmbg 验证留名：消费者1 验证地区：南山店 抓鸡花费:798(新人半价） 颜值身材 ：9分，颜值高，身材好 体验细节 ：昨天因为各种原因没抽到薇薇第一天的体验课，本来还有点小遗憾，结果没想到今天还有机会，运气不错抢到了其中一个名额，跟客服确认好时间后就按指引的路线上了楼，刚上去正好迎面撞上薇薇来开门，真人跟照片基本没差，甚至比照片还好看点，就是刘海确实像群里小伙伴说的那样（哈哈），不过完全不影响颜值。薇薇房间在一楼，进去后先再三确认我上的是不是D课，确认完就发了小蓝裤和浴巾，引导我去卫生间冲洗，怀揣着激动地心情，我简单冲了冲就立马回到了房间，进门后第一眼就注意到薇薇已经换上了Valentino攻速鞋，瞬间让我特别惊喜。 跟mtx猝不及防的风格不同，薇薇的节奏是娓娓道来的，先让我趴在床上，用脚给我踩背，时不时还整个体重压上来，会边踩边问我是第一次来吗？之前有没有上过类似的D课，会顺…
❤4
https://t.me/+7Y0AExGY9wBhNjk0 今天南山店新人体验课内部半价抽奖来啦 真实女大薇薇 05年的 167净身高 无敌大长腿 半价券通用所有套餐 包含D套餐 大家先进群 看参与人数直接挑选或者开抽奖模式 今天空闲时间 4.30 6.30 8.30 薇薇之前丝足和SM都有经验但是抓龙筋和按摩是不会的 需要等29号后库老师来指导😁 所以如果需要按摩或者抓龙筋的就不要参与啦
❤2👍1👏1
更新一遍布丁的好评😁 预约:@szmtxnspm
❤4
发两遍毛毯熊的报告 预约 @szmtxnspm
❤4
毛毯熊的亡妻回忆录来噜 @szmtxnspm
❤10🤯2👍1
布丁ootd来啦 预约: @szmtxnspm 群组 @szklmgp
❤4👍2
发两张布丁身材照😮😮😮😮 在营业啦 预约: @szmtxnspm
👍5❤1
Showing the 12 most recent of 13 posts we hold for @szmtxpd. 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 — 75,139 of 1,340,412entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 10 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳南山毛毯熊抓龙筋丝足SM” (@szmtxpd), 3,092 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/szmtxpd.
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.