Channel
@shxhjpzy
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
9,706subscribers
+51 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001723015074 |
|---|---|
| Type | Channel |
| Username | @shxhjpzy |
| Description | 上海出击大队： @shxczyq 上海认证榜 ：@shkccj 上海广播台：@shpccj 管理员：@SHXCDDGNY_bot |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/shxhjpzy |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 15:15 | 9,706 | +35 |
| 10 Aug 2026, 20:02 | 9,671 | -81 |
| 7 Aug 2026, 16:01 | 9,752 | +97 |
| 6 Aug 2026, 20:16 | 9,655 | first reading |
90 posts held, back to 5 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 20 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. It is computed over the 16 of 90 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 90 (5 August 2026 – 15 August 2026) |
| Views total | 26,362 |
| Reactions total | 16 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 20:26 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 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
16 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 93.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 93.8% | |
| 👍 | 1 | 6.25% |
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 16 of the 90 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 90 most recent posts we hold, published 5 August 2026 to 15 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.
#奶兔 #普陀 老师榜单：https://t.me/shkccj/20946 月了奶图老师上海的第一课，老师小区环境不错，课室环境也不错，空间很大，不压抑。奶图老师人照九分，剩下的一分应该是我见到的时候妆容跟照片妆容不一样，看着比照片还显年轻，很精致，800这个价位应该是童颜巨乳中的天花板了，熊是真的大，从没想过160出头的女孩子能有37D豪乳，熊推手捏或者用嘴亲真的超级舒服。说说服务吧，课表的服务都有不事不催，口活中的舌尖绕柱是一大绝活，十来年的出击功力差点没挡住缴械了。这次出击满分回馈
❤2
#兰锦 #闵行 老师榜单：https://t.me/shkccj/20352 早上起来感觉好无聊刷刷外网吧。翻到了兰锦。好面熟咦。。这不是上海那个服务系金芙蓉老师吗？一直想约没想到刷到本人。内心好激动。立刻通过双向机器人联系好空降太贵了。还是从合肥坐车去上海吧…立刻起床购买火车票去上海好激动。经过了几个小时动车到达虹桥火车站。打车如约而至来到兰锦老师家。一进门穿戴全按照我的要求妥妥帖帖的。家里很干净。她用嘴叼了一双拖鞋过来给我换上。又去用嘴叼了一瓶矿泉水过来给我喝。这条母狗不错。让母狗爬过去用嘴巴把淋浴打开准备来一场浴室狂欢！母狗用一次性泡沫器给我全身洗干净。她用嘴叼来一次性浴巾帮我擦身上。感觉很好。牵着狗链子来到沙发上开始调教她。让兰锦母狗给我舔全身好舒服。好舒心。舔完不知不觉过去三十分钟。站起身对着狗嘴就是一顿撸射她嘴巴里监视她全部吞下去。还用嘴给我清理干净。好满足。经过50分钟左右的奋斗感觉饿了。兴奋劲过了领着母狗去吃了…
❤1
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#一琳 #徐汇 老师榜单：https://t.me/shkccj/21006 姐姐很细心，温柔！先来到床上放松调情！这时候跟酥酥麻麻的！躺在姐姐的大腿上，姐姐亲吻我的耳朵，舔我咪咪另外一只手在我身上抚摸着！被姐姐疼的感觉太好了！一会我坐起来，姐姐从背后抱着我！咪咪在我的背后磨蹭着！两只手也在摸我的咪咪，服务做的时候更加能感觉到姐姐的狂野与热情，全程主动，我好喜欢就感觉自己被强奸，姐姐实在太骚了，非常像那种欲求不满的人妻姐姐，很享受，
#闪闪 #虹口区 老师榜单：https://t.me/shkccj/20989 约好老师到位置上楼，进门一看就知道来对了，身材丰满动人，一对大奶是我见过最大的了，有种反差美，喜欢bbw的不容错过。老师也很健谈，不会冷场，洗漱服务的时候都在聊天，服务也很认真，态度满分，只可惜小兄弟不够争气，在老师一阵阵骚话中败下阵来。总体来说是一次满意的出击。
#露露 #虹口 老师榜单：https://t.me/shkccj/19870 露露老师休假好了。和她预约好时间。再次来关顾她。感觉熟人就是好办事！进门露露老师亲腻的把我迎进门，换拖鞋。和我一起鸳鸯戏水！给我用毛巾擦身上。我们一起来到床上，拥抱亲吻，感觉好甜。露露老师的口活有一说一。真的很不错，给我深喉锁住。上下深吸，我小弟在露露老师嘴里一深一浅来回探索，真的爽翻了。带上雨衣和露露老师更深层交流，各种姿势解锁秘密花园！露露老师的观音坐莲摇的我忍不住射了！很开心的回顾露露老师。以后常来！
#娜娜 #普陀 老师榜单：https://t.me/shkccj/20146 娜娜老师属于前凸后翘丰满型，昨天约了老师5000的包夜，下班就急冲冲的从嘉定赶了过来，来到了老师工作室，装修很好，很温馨，洗完澡，把老师的黑丝睡衣撕下来的时候，眼前大胸让我眼前一亮，老师绝对是bbw 身材里的No.1，玉面朱唇，那肤如凝脂的肌肤，让我手不由自主的在老师大腿之间来回滑动，睡觉前搞了两次，精疲力尽，抱着老师睡去，早上醒来又老师女上来了一次，心满意足的离去，最近估计得好好休养了，被娜娜老师榨干了，下次继续包✌️，棒棒的
#程程 #普陀 老师榜单：https://t.me/shkccj/20963 一进门看到老师真人，比图片我觉得更好看，真实对版，出击这么久以来终于没有踩坑的一次出击了，本人非常性感，服务不敷衍，很真诚实在，所以特意给老师一个好评，看到小姐姐真的很赞啊，身材很好，老师一来很热情，老师说帮我洗澡，我真很乐意，老师洗的很仔细，洗完帮我搽干水换上床开始服务，课表都有，老师的态度很好，口的技术非常好，毫无齿感，允吸龟头，服务动作都比较干脆，开始办正事，慢慢地进去后里面很紧，很润，试了几个姿势，全程很配合，态度没的说，有空会继续找老师，值得推荐娴熟很有耐心，性格很好，老师性格比较直爽，细节感做的满满，口活好，皮肤白。
❤1
#闪闪 #虹口 老师榜单：https://t.me/shkccj/20989 喜欢大胸丰满的！于是看到闪闪老师的照片一眼心动！大屁股大奶子摸着都很舒服！汁水哗哗哗流！真的太骚了！服务课表上的都有，全程都很主动贴心！直接都给我秒了！皮肤白叫声美！很享受的一次出击 爽！值得推荐！
#小米 # 普陀 老师榜单：https://t.me/shkccj/20992 【验证留名】：水星 【验证时间】：8-14 【修车水费】：700 【服务内容】：调情 吹箫 啪啪 【颜值身材】：炮架 【凶器罩杯】：软弹 【体验细节】：第二次约小米明显比第一次更放松。进门小米就笑着说“又来了”，语气自然，完全没有生疏感。简单洗了个手就开始进入状态，节奏自己把控得刚刚好。 先做的是亲咪咪。小米低头含住的时候很专注舌头绕着打转，偶尔用牙齿轻轻刮一下，力道控制得很准。手也没闲着，一边照顾一边观察反应，整个人很快就热起来。接着是舔蛋蛋，动作又慢又细致，先用舌尖来回舔，再整颗含进去轻轻吸，节奏跟着呼吸走，刺激感一层层叠上来。后面进入正题时小米把腰沉下去，会夹、会扭，水也多，姿势换了好几次都配合得很好。结束之后小米还是老样子，不催不赶，简单收拾完坐下来聊了两句。二刷下来完成度比第一次更高，默契也上来了，700一次依旧很值，已经准备排第三次 【…
#欧尼酱 #普陀 老师榜单：https://t.me/shkccj/20447 老师胸大腿长，服务的非常认真让我感觉特别敬业 身材和长相都特别好 没有缺点 会二刷的那种，喜欢御姐的可以出击
#糖豆豆 #闵行 老师榜单：https://t.me/shkccj/20937 流连忘返，老师见面笑脸相迎主动搭话，给人一种非常自然的感觉，让人很放松，陪浴的时候就身体贴的很紧，前后游动各种调情抚摸，服务比较认真意思，不是那种过过场让快速出水那种，课表有的都细节地体验到了，体验感拉满，啪啪时候水很多，老师呻 吟的很给力，各种姿势随意切换耐心配合，后入臂浪很大让人兴奋，几分钟后交出牛奶，真的是被她征服了，休息了一会后，看到老师衣柜里各式各样的服装 选了一套性感的直接后入 在老师一声声悦耳的娇喘声中弹尽粮绝了。身材娇嫩 叫声悦耳 小穴紧凑 水多！！！
Showing the 12 most recent of 90 posts we hold for @shxhjpzy. 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.
@shxhjpzy edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 87,238 of 1,481,346entries 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.
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 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“上海修车报告” (@shxhjpzy), 9,706 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/shxhjpzy.
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.