Telegram RegisterThe public register of Telegram
Telegram profile photo for 麻将战绩(公开版)🀄️

Channel

麻将战绩(公开版)🀄️

@npmjzjfp

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

3,174subscribers

+54 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003055961231
TypeChannel
Username@npmjzjfp
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/npmjzjfp

Growth

3,1203,1743,1477 August 2026 — 3,120 subscribers7 August 2026 — 3,120 subscribers8 August 2026 — 3,124 subscribers11 August 2026 — 3,140 subscribers14 August 2026 — 3,174 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +54. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,112–3,182 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 20:253,174+34
11 Aug 2026, 04:073,140+16
8 Aug 2026, 14:503,124+4
7 Aug 2026, 23:153,120no change
7 Aug 2026, 23:033,120first reading

Engagement

20 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.28%
avg views ÷ 3,174 subscribers
Avg views / post
168
20 posts measured
Reaction rate
0.716%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 3 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (6 August 20267 August 2026)
Views total3,353
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:15 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

3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍266.7%
133.3%

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 20 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 6 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

7 Aug 2026, 18:33 UTC43 viewsread 7 August 2026

#牌局复盘 【麻友】:咕咕嘎嘎 【棋牌室】:#椿光 【麻将搭子】:#花花 【搭子链接】:https://t.me/fujiang003/672913 【台费】:450 【胡牌牌型】:#大班 【牌局特点】:#bbw #甜妹 【各项得分】: 环境:8.5 人照:8 身材:7 皮肤:8.5 态度:7 敏感度:7.5 抽烟:无 纹身:无 各种钉:无 【综合得分】:7.5 【牌局体验】:看模卡感觉花花的很有洛丽塔的感觉,皮肤又白准备来试试。但是见到真人感觉是比较大只的洛丽塔,西方娃娃脸的感觉,皮肤挺白的,喜欢洛丽塔装扮的会比较有感觉。身材微胖,肚子上有点肉,臀部很大。妹妹一开始很主动就开始亲我,亲的也十分有感觉,轻松卸甲里面真空,两个玉兔形状圆润的很。一亲奶头会立马跳起来,下面湿润尝试操作被拒绝,偷摸两下真的非常润,但只能格库操作。后面时间妹妹不怎么主动,怎么操作也没反应,一动不动,没啥反馈。感觉如果

7 Aug 2026, 15:55 UTC86 viewsread 7 August 2026

#牌局复盘 【麻友】:S君 【棋牌室】:#春树 【麻将搭子】:#丸子 【搭子链接】:https://t.me/cscsnpjlq780/51257 【台费】:600 【胡牌牌型】:#大班 【牌局特点】:#热情 #配合 【各项得分】:(0-10,6 为及格) 环境:9 人照:7 身材:8.5 皮肤:8 态度:9 敏感度:7 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.5 【牌局体验】:完美的一场体验,晚上睡不着正好丸子有空原来是马上要回家了加会班,遂预约尾钟前往。见面后妹妹金发身材很不错,破冰聊天于是聊起竟然是福建人,又聊了聊妹妹大学竟然是学妹太巧了。一起聊了聊大学生活,美食,传授一点小经验哈哈,然后开始上钟服务,妹妹亲胸真是一绝不知道从哪里学的。简直最近感受到最棒的亲胸体验。然后稍微洗了洗澡,都很配合,嗝裤体验各种体位后愉快下钟。期待下次妹妹再来杭州😭😭😭

7 Aug 2026, 15:40 UTC83 viewsread 7 August 2026

#牌局复盘 【麻友】:S君 【棋牌室】:#美年达 【麻将搭子】:#小夏 【搭子链接】:https://t.me/hznplaq/46120 【台费】:500新人价 【胡牌牌型】: #大班 【牌局特点】:#服务态度好 【各项得分】: 环境:8 人照:7 身材:7 皮肤:7 态度:9 敏感度:7 抽烟:无 纹身:有 各种钉:无 【综合得分】:7 【牌局体验】:纹身忘记了好像背上有,看到新上小夏测评挺主动的遂前往尝试,颜值正常有点美颜,比较瘦。感觉妹妹再胖一点比较好。上钟会主动叫哥哥,会引导哥哥,要不要我亲亲你这里那里,洗澡流一波,指哪打哪,还会引导你这样比较舒服。态度没得说,妹妹自述刚来杭州,之前做过主播,怪不得这么会说话。愉快的一钟结束🔚

7 Aug 2026, 15:03 UTC106 viewsread 7 August 2026

#牌局复盘 【麻友】:小六 【棋牌室】:#美年达 【麻将搭子】:#小满 【搭子链接】:https://t.me/hznplaq/46898?single 【台费】:1200 【胡牌牌型】:#大班 【牌局特点】:#下沙学生兼职 #微胖极品身材 #敏感体质 #新手调教 #双钟起步 【各项得分】:(0-10,6 为及格,对应大班) 环境:7.5 人照:8 身材:7.5 皮肤:8 态度:8.5 敏感度:8 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.5 【牌局体验】: 一、基础画像 大二在读,数字传媒专业,暑假佛系接单——属于“有单就接,没单就玩”的半兼职状态,因此服务心态尚未程式化,是测评亮点。 模卡左下为参考基准,还原度约80%。真人属甜妹圆脸,肉感颊,视觉年龄比实际更显幼态,并非精修图那种尖锐美颜脸,胜在真实邻家感。 二、硬件实测:微胖界的“藏肉教科书” 微胖型,但有料得恰到好处。B+

7 Aug 2026, 13:36 UTC109 viewsread 7 August 2026

#牌局复盘 【麻友】:撒贝不宁 【棋牌室】:#童话镇 【麻将搭子】:#小药丸 【搭子链接】:https://t.me/tonghuazhen_xiaofeifei/27175 【台费】:500 【胡牌牌型】:#大班 【牌局特点】:#大蟒蛇 #女大 #素人感 【各项得分】: 环境:8 人照:8.5 身材:9 皮肤:8.5 态度:8.5 敏感度:8.5 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.66 【牌局体验】: 最近被圈里多位蹭蹭流明星得淋的情况搞的慌兮兮,还是回归到我最喜欢的标大铁裤裆流。问了好兄弟,推荐了小药丸,于是约好时间,欣然前往。准点到达,客服在电梯口迎接,生意太好了,只剩下最小的一间房空着。稍作等待,小药丸出现了……身材高挑,前凸后翘,一览无余,尤其是她那白丝漏裆情趣丝袜,包裹着圆润修长的美腿,让我一下子就来了兴致。 漱口清理后,开始了两人的相处时光。身为标大铁裤裆,小药

7 Aug 2026, 12:54 UTC119 viewsread 7 August 2026

#牌局复盘 【麻友】:Padishah Shahanshah 【棋牌室】:#月离 【麻将搭子】:#粉粉 【搭子链接】:https://t.me/xjsnxkdj/112763 【台费】:450/h 【胡牌牌型】:#大班 【牌局特点】:#地雷系 【各项得分】:(0-10,6 为及格,对应大班) 环境:8 人照:6,本人颜值能打8 身材:8 皮肤:8 态度:9 敏感度:8 抽烟:有 纹身:无 各种钉:无 【综合得分】:8 【牌局体验】:月离又来新人了,其实我一看这模卡的风格,大概能猜到她跟兰兰应该有什么关系。本来她一开始叫甜甜,这个名字太没有创意了,毕竟月离以前就有叫甜甜的,于是后来改成了粉粉。由于我是第二天去的,所以第一天测评提供的情报我已经基本掌握了。到店一看,果然头发也是粉的,非常契合她的新名字。当然还有一个显眼的特征是身高也非常高,感觉已经快和我差不多了。这么高的身高还走可爱的风格确实不

7 Aug 2026, 12:03 UTC127 viewsread 7 August 2026

#牌局复盘 【麻友】:欧阳zz 【棋牌室】:#Kitty岛 【麻将搭子】:#小晗 【搭子链接】:https://t.me/hello_kittynvpuguan/42655 【台费】:1100 【胡牌牌型】:#大班 【牌局特点】:#配合 【各项得分】:(0-10,6 为及格,对应大班) 环境:9(公寓楼有床,有更换的一次性床单,房间有独立卫生间可以淋浴,还有一次性浴巾 人照: 10(和链接的照片一样,幼态萝莉清纯妹妹) 身材:8.0(🐻是小笼包,很可爱,很软弹,屁股又大又圆,整体纤细又不失可爱) 皮肤:9(超级光滑) 态度:8.0(被动配合型,尺度内要求都会满足) 敏感度:8.0(懂得都懂,还没开始,下面就流水潺潺) 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.5(0-10,6 为及格) 【牌局体验】: 看到麻将群这么多测评,果断预约。 因为个人偏好,以前点的都是御姐或者是网红脸,

7 Aug 2026, 09:53 UTC142 views1 reactionsread 7 August 2026

#牌局复盘 【麻友】:得了吧 【棋牌室】:#古茗 【麻将搭子】:#小茹 【搭子链接】:https://t.me/guming66888/37002 【台费】:400+200筹码 【胡牌牌型】:#大班 【牌局特点】:#配合 【各项得分】:(0-10,6 为及格,对应大班) 环境:8 人照:8 身材:8 皮肤:8.5 态度:8.5 敏感度:8.6 抽烟:无 纹身:无 各种钉:无 【综合得分】:8.5 【牌局体验】:刷过很多小茹的测评了,这次终于有机会约到她了,人照差不多。小茹很健谈,进了房间后主动拉开话题,很快就破了冰,聊到氛围差不多了,便开始感受小茹的小蟒蛇,虽然亲一段时间要歇一会儿,但是也能一直配合。一边亲吻着,我也一边上下其手,感受着妹妹嫩滑的肌肤。。。后续让妹妹卸甲,很配合,独留0甲。妹妹敏感度很高,光是玩弄葡萄就已经叫声不断,后面浅浅的探索了一下洞穴,已经是水帘洞看,得到妹妹允许,手指

1

7 Aug 2026, 08:48 UTC135 viewsread 7 August 2026

#牌局复盘 【麻友】:小灰灰 【棋牌室】:#Kitty岛 【麻将搭子】:#小念 【搭子链接】:https://t.me/hello_kittynvpuguan/42671?single 【台费】:500+筹码 【胡牌牌型】: #大班 【牌局特点】:#小蟒蛇 【各项得分】:(0-10,6 为及格,对应大班) 环境:9 人照:8 身材:8 皮肤:8 态度:7 敏感度:8 抽烟:无 纹身:无 各种钉:无 【综合得分】:7.5 【牌局体验】: 人照不一致,真人比照片好看。高颜,能到T1下,有点萝又有点御,属于kt客厅看到会秒选的那一档。身材纤细,但脱了上衣还挺饱满,在18s里算发育较好,皮肤是少女Q弹。 这天本来要去打卡小晗,到楼下时,被一位帅比朋友推荐小念,看到真人后秒选进屋。但不知道是被卡了,还是妹妹心情不好,还是妹妹经历了前几天-学会收尺度,聊天只有“好的,没有阿,嗯嗯”,其余不苟言笑。尺度到独

7 Aug 2026, 07:26 UTC138 views1 reactionsread 7 August 2026

#牌局复盘 【麻友】:齐静春 【棋牌室】:#童话镇 【麻将搭子】:#纯纯 【搭子链接】:https://t.me/tonghuazhen_xiaofeifei/23119 【台费】:单钟 【胡牌牌型】: #大班 【牌局特点】:#大蟒蛇 #水娃 #素人感 【各项得分】:(0-10,6 为及格) 环境:8 人照:7 身材:8 皮肤:8 态度:9 敏感度:10 抽烟:有 纹身:有 各种钉:有 【综合得分】:8.5 【牌局体验】: 首先夸一下客服小呆呆,沟通很及时,态度超级好。 约了纯纯,进入房间,妹妹在床上小憩,看得出来很疲惫,客服说醒醒,客人来啦,妹妹就一下子起来了,没有什么起床气。态度很好,一开始我没进入状态,一直盯着投影,柳下惠,目不转睛。妹妹俏皮的脸贴着我的脸,说怎么不看我哥哥,是我不好看吗。我动心忍性。妹妹便把脸凑到我面前,我玩心大起,故意歪过头,去看手机。妹妹气鼓鼓的,假装生气。说哥哥

👍1

7 Aug 2026, 06:48 UTC139 views1 reactionsread 7 August 2026

#牌局复盘 【麻友】:齐静春 【棋牌室】:#Kitty岛 【麻将搭子】:#小念 【搭子链接】:https://t.me/hello_kittynvpuguan/38154 【台费】:二免一双钟 【胡牌牌型】: #大班 【牌局特点】:#大蟒蛇 #甜妹 #素人感 【各项得分】:(0-10,6 为及格) 环境:8 人照:9 身材:9 皮肤:9 态度:8.7 敏感度:9 抽烟:有 纹身:有 各种钉:无 【综合得分】:8.5 【牌局体验】: 拿到了kitty岛的二免一,果断选择了小念,点的双钟外派,妹妹也按时到达~穿了我觉得最适合她的jk装。一上来,我俩都比较羞涩,妹妹害羞地脱掉鞋子袜子,露出了芊芊玉足。然后一上床就让关灯,害羞地我都不好意思了。因为第二次和妹妹相见,少去了破冰流程。妹妹一上来就和我分享了最近发生的事情,叽叽喳喳,像一只小黄雀。我也耐心的在一旁听着,时不时分享一下自己的观点。 时间

👍1

7 Aug 2026, 05:29 UTC151 viewsread 7 August 2026

#牌局复盘 【麻友】:林仔 【棋牌室】:#懒羊羊 【麻将搭子】:#小猫 【搭子链接】:https://t.me/Bing_go520/42165 【台费】:1200 【胡牌牌型】:#大班 【牌局特点】:#乖巧 #配合 #好妹妹 【各项得分】:(0-10,6 为及格) 环境:9 人照:8 身材:8 皮肤:8.5 态度:9.5 敏感度:8.5 抽烟:有 纹身:有 各种钉:无 【综合得分】:8.6 【牌局体验】: 满姐小猫比较难约,提前2天预约了外派。原本以为小猫排班满再加上路途较远会晚到,结果小猫还提前到了,能准时非常棒。 小猫当天妆不浓,人照大概8分相似,颜值没有妆后照片那么惊艳但还是挺耐看的,在能修饰脸型的发型和打扮加持下能算小美女。中等个子,体型偏苗条,胸不大略平,穿着短裤显得腿很长,有几处小纹身。小猫声音很温柔,整体样貌和气质给人感觉乖乖的。 进屋后小猫主动的依偎在我怀里,舌吻很配合,会

Showing the 12 most recent of 20 posts we hold for @npmjzjfp. 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 — 66,039 of 1,481,217entries 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

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 3 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“麻将战绩(公开版)🀄️” (@npmjzjfp), 3,174 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/npmjzjfp.

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.