Channel
@xiximmk999
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
85subscribers
+15 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004326148247 |
|---|---|
| Type | Channel |
| Username | @xiximmk999 |
| Created | Between 1 June 2026 and 25 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 31 August 2026 |
| On Telegram | t.me/xiximmk999 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 14:08 | 85 | +12 |
| 23 Aug 2026, 22:55 | 73 | +3 |
| 22 Aug 2026, 21:30 | 70 | first reading |
16 posts held, back to 25 July 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 1 page 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 2 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 16 (25 July 2026 – 17 August 2026) |
| Views total | 2,171 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 21:30 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.
4 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
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 3 of the 16 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 25 July 2026 to 17 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.
深圳【皮卡丘】出击报告: @PKQBG ⚡️【验证时间】：8.15 ⚡️【所在位置】：罗湖 ⚡️【老师艺名】：晓晓 ⚡️【验证留名】：飞毛腿 ⚡️【联系方式】：@xixmmk ⚡️【上课价位】：900P ⚡️【颜值身材】：9分 ⚡️【服务内容】：洗吹做 ⚡️【推荐程度】：喜欢嫩妹的不踩雷 ⚡️【体验过程】：一进门就是女友般的温柔服务，小姐姐声音超级好听，照片身材年龄都是真实的，腿细细的挺嫩。服务不用说恋爱的感觉，小姐姐很放得开，让人卸下一天的疲惫，真是醉死在温柔乡里，让我依依不舍、流连忘返。兄弟们可以放心冲！！！ 报告提交点击[ @SZKK88 ] 注：（提交报告需要提供相关证明，如聊天记录，付款记录等） 福利闲聊群 https://t.me/SZPKQ
【深圳金玺】：https://t.me/SZJXQ 【出击时间】：2026-08-15 【老师昵称】：晓晓 【联系方式】：@xixmmk 【学生留名】：杜根 【人照相似】：9.5 【身材评分】：9 【服务评分】：9 【态度评分】：9 【环境评分】：9 【综合评分】：9.1 【过程描述】： 已经是第二次来晓晓了，一进门还是那个熟悉的感觉，但是让我意想不到的是晓晓居然对我有印象，坐下简单唠了两句后，我就开始去洗浴，这次的浴室比上次的还小，根本容纳不下两个人于是只能我独自洗浴。洗浴完来到床上，晓晓让我躺下之后直接趴在我的身上开始🐍了起来，晓晓的🐍很有感觉，也算是一个蟒蛇，我们🐍了很久之后，晓晓开始舔我的奶头，由于我并没有很喜欢口加上喜欢🐍，我就没有让晓晓口而是选择了继续🐍，因为之前也已经体验过了，没体验过的可以尝试一下，晓晓的口活很不错。🐍了一会后就戴上了套，由我传教士起手，做的期间晓晓的反馈很好，晓晓来感觉还会搂着我的脖子主动的🐍我…
深圳集团报告： https://t.me/+T_cG2VyxBB8xYzU1 【老师花名】：晓晓（豆包） 【老师的ID】：@xixmmk 【学生留名】：lmm 【验证时间】：8.6 【所在位置】：罗湖 【颜值评分】：9 【身材评分】：9.2 【服务评分】：嫩妹三件套 【优点缺点】：很嫩，可爱 【推荐程度】：9.5 【个人发挥】：中了豆包的200优惠券，在今晚约了出击时间，一进门就看到豆包，小小个的，很可爱，人很健谈，果断交了学费，就去冲凉，浴室很小，只能一个人洗，洗完躺在床上让老师口了，口了一会就叫老师上套（本人顶不住口），先上女上姿势，让老师动，动了一会体力不支，只能趴身上，让我动，动了几分钟，换我在上面动，又是几分钟后问老师能不能抱着干，得到应可后，开始干了几下 ，老师就说顶到她小腹了顶得生痛，那只能更换后入式来，干了几分钟后，换了正常体位做，做了几分钟还没射的感觉，本人今天状态良好，许久不见射的感觉，后面老师哭喊着顶…
深圳集团报告： https://t.me/+T_cG2VyxBB8xYzU1 【妹子花名】：晓晓 @xixmmk 【验证留名】：Steve Lyu 【验证时间】：8.4 【所在位置】：罗湖 【颜值评分】：9.2 【身材评分】：9.4 【服务评分】：8.5 【优点缺点】：优/身材好，小只马，瘦但不排骨，颜值高，长发，健谈，很轻。可大蟒蛇。 缺/课室小，妹妹抽烟，有中等面积纹身。 【推荐程度】：9.0 【个人发挥】：晓晓搬迁罗湖已多时日，终在今日开约，凌晨三点到达，课室位于大厦酒店式客房，方便，好停车，直接上楼，开门就看见妹妹坐在窗台抽烟，长发，真人比频道还瘦，颜值稍高，155的小个子美女，白色上衣加牛仔裤，姣好的妆容，总体我很满意，闲聊几句发现妹妹挺热情健谈，洗澡阶段由于我是在家洗完再过来就跳过了，那我直接进入主题吧，床上部分，妹妹口活还不错，整体有80分水平，嘴巴小，深喉几下就顶不住了，口了几分钟后就换我操盘，我仔细观察着…
❤2
深圳集团报告： https://t.me/+T_cG2VyxBB8xYzU1 【妹子花名】：豆包晓晓 @xixmmk 【验证留名】：工藤新一 @XCxxcoi 【验证时间】：8.4日 【所在位置】：罗湖洪湖 【颜值评分】：8分 短发的真像豆包，现在接了长发 。 【身材评分】：8分 爱好小只马的狂喜，脆脆波形 【服务评分】：8分 课表可见 【优点缺点】：性格开朗大方健谈，服务态度挺好的。配合度也高。 房间稍微小了点儿 【推荐程度】：8分 小只马的福音 无脑冲 嫩的没她会，比她会的没她嫩。 【个人发挥】： 晓晓搬到罗湖一直没有去过 。而且群里几个朋友也时常提起豆包可以喷。这次刚好在群里聊了起来而且营业到了凌晨3点。刚好约了朋友在罗湖吃饭顺利约课。比预计时间早到达外面也下起了雨，于是询问豆包可否提前得到肯定的回复后顺利上楼，一进门先闻其声大侦探先生来了、抬头见到小小的一只豆包坐在窗边 ，原本在我脑海里的豆包和见到的豆包形成了巨…
❤1
#晓晓 #罗湖 【验证留名】：jacky 【验证时间】：8.2 【修车水费】：900p 【服务内容】：课表 【颜值身材】：基本人照一致 嫩妹 【凶器罩杯】：B+ 【体验细节】：实在难耐，还是决定出击罗湖。酒店式公寓，干净。线上照片比真人还要胖一点的感觉，虽然脸瘦小，该有肉的地方一点不少。正常洗完后直接开始69，下无异味，老师口技也非常ok。后续戴套直接边🐍边享受。换了几个姿势后结束战斗。 【事逼行为】：无 【优点缺点】：非常健谈 纯自料 【推荐程度】：满分9.5分 【温馨提醒】：浴室较小 服务有待开发 吃嫩的无脑冲 【联系方式】：@xixmmk 【温馨提醒】：报告仅供参考，请理性选择，切勿对号入座 广州深圳与狼共舞出版社： https://t.me/shenzhenyunanggongw
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【深圳花满楼】 https://t.me/szhmll 【验证时间】：2026-07-30 【老师名字】：晓晓 【老师账号】：@xixmmk 【验证留名】：要成欧皇二世 【人照相似】：9.8 【颜值身材】：9.5 【服务评分】：9.3 【态度评分】：9.3 【课室环境】：9.6 【体验过程】：有幸中了奖，那必须立马约上一课。 地点很方便，很快就到了课室。 推门进去，看到一只小巧可爱的晓晓正蜷在沙发一旁。 因为浴室空间比较小，我自己洗个澡， 自己擦干身体上床，晓晓二话不说直接开启口活模式，技术也相当不错。 我顺势把她拉上来，又亲又揉、舌吻一顿。 氛围烘托得差不多，妹子主动女上坐了上来，摇得挺有韵律，接着换我男上主动发力，一顿猛推，妹子在下面娇喘连连，我123结束战斗了。
Showing the 12 most recent of 16 posts we hold for @xiximmk999. 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 — 1,361,315 of 1,629,808 entries 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.
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 1 registered channel — 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 31 August 2026 — this entry's latest reading, not the date you are reading this.
“豆包的报告📝” (@xiximmk999), 85 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/xiximmk999.
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.