Telegram RegisterThe public register of Telegram

Channel

「Vop」維聲-奶茶同萌

@VoPMilkTea

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

1,852subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001507172297
TypeChannel
Username@VoPMilkTea
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/VoPMilkTea

Growth

1,8511,8521,851.57 August 2026 — 1,852 subscribers7 August 2026 — 1,852 subscribers10 August 2026 — 1,851 subscribers12 August 2026 — 1,852 subscribers7 August 202612 August 2026
4 measurements spanning 5 days. 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 1,851–1,852 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:151,852+1
10 Aug 2026, 04:521,851-1
7 Aug 2026, 10:021,852no change
7 Aug 2026, 09:491,852first reading

Engagement

13 posts held, back to 28 July 2026the 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 · 30 days
5.23%
avg views ÷ 1,852 subscribers
Avg views / post
96.9
13 posts measured
Reaction rate
1.14%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 1 of 13 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 6 August 2026
Posts held13 (28 July 20266 August 2026)
Views total1,260
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:25 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.

What this channel posts

Video runtime
2m 45s
Average length
55s

Measured directly from 3 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁1100.0%

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 1 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 1reactions 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 28 July 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.

Recent posts

6 Aug 2026, 04:53 UTC70 viewsread 7 August 2026
Forwarded from @VoiceofPoohPhoto

🇨🇳 淪陷區驚現新詞「摸魚送外賣」!官媒警告上班兼職恐遭合法開除引熱議‼️ 淪陷區官媒《央視網》於 8 月 4 日發布專家提示,指出員工若在上班時間跑外賣、送快遞,或是長期刷短影音、看短劇等「摸魚」行為,情節嚴重者用人單位可依法予以辭退。相關內容釋出後迅速登上熱搜,衍生出「摸魚送外賣」、「翹班送外賣」等奇特新詞‼️ 該影片隨即引發廣工網友熱議,獲得超過 17 萬次轉發與 3.6 萬次點讚。不少網友直呼荒謬,並呼籲若規範精確至此,當局也應一併嚴格落實加班費發放與懲罰拖欠工資等機制;也有許多人注意到,在龐大的轉發量之下評論區卻僅有數十條留言,質疑精準操控聲量的言論審查機制已悄然啟動‼️ 這起爭議也折射出淪陷區當前經濟衰退與勞動市場的極度扭曲。在薪資遭到壓低甚至欠薪頻傳的環境下,基層打工人為了生計不得不尋求各種兼職管道補貼家用;然而官媒一味站在資方立場壓制勞工,對無償加班、欠薪以及缺乏勞動保障等根本問題視若無睹,再次凸顯出體制下

6 Aug 2026, 03:24 UTC64 viewsread 7 August 2026
Forwarded from @VoiceofPoohPhoto

北京化工大学学生在暑假期间被压力继续做实验,被炸伤失去三根手指(断了五根手指,接上两根)后学校用“ 擅自进入未开放实验室 ”为由拒不负责 😎 匿名投稿 消息来源🔍

4 Aug 2026, 11:41 UTC86 viewsread 7 August 2026
Forwarded from @VoiceofPoohPhoto

😎 匿名投稿 消息来源🔍

3 Aug 2026, 07:06 UTC88 views1 reactionsread 7 August 2026
Forwarded from @XueXi_ChinaPhoto

央视怎么用gpt作图😁 😎 匿名投稿

😁1

2 Aug 2026, 07:24 UTC119 viewsread 7 August 2026
Forwarded from @VoiceofPoohPhoto

全国首家“商鞅法治思想研究中心”在陕西商州法院成立 受陕西省委政法委领导的政务号“陕西法学会”7月30日发文,称西北大学法学院、商洛市法学会与商洛市商州区人民法院联合成立了全国法院系统首家“商鞅法治思想文化研究中心”。 文章称,该研究中心建立了法院与高校互聘10名专家法官的机制、组织干警撰写商鞅赋能基层治理论文并获省级奖项,还收集了古今中外研究商鞅的古典及书籍158册,其中还特别涵盖了英、法、德、俄、日、韩等多国语言版本,供基层法官干警研读交流。 消息来源🔍

1 Aug 2026, 17:43 UTC106 viewsread 7 August 2026
Forwarded from @XueXi_ChinaVideo

据 #梁家河时报 ,7月31日凌晨,辽宁鞍山市府转盘附近出现多名反共青年驾驶电摩、轿车高速漂移“炸街”,向共产党游行示威,有人持玩具冲锋枪探出天窗喊话,声称要打倒共产党,干死习近平,引来数百人围观,而鞍山警方早已布控收网,一举抓获103名反共义士 😎 匿名投稿

31 Jul 2026, 08:06 UTC101 viewsread 7 August 2026
Forwarded from @VoiceofPoohVideo

🇨🇳 淪陷區西安遭強對流暴雨襲擊!立交橋積水破2米車輛水上打轉‼️ 淪陷區陝西省西安市於 30 日傍晚遭遇強對流暴雨襲擊,導致市區多處街道出現嚴重內澇與淹水災情。當地氣象台於傍晚 17 時 35 分緊急將暴雨預警升級至最高級別的「紅色預警」,強降雨導致多區累積雨量極大,秦嶺沿線峪口及多個知名景點皆被迫緊急關閉‼️ 在暴雨狂炸下,市區多處交通要道陷入癱瘓,其中尚武門立交下的積水甚至深達 2 公尺以上。一名男子開車駛入該路段後,車輛當場失去控制,整台車直接漂浮在水面上並隨水流打轉,場面險象環生,驚險畫面也在網路引發熱議‼️ 面對突如其來的極端暴雨,當地警消與相關部門緊急展開排險與交通管制,並全力抽排積水以恢復道路通暢。氣象部門也持續發布警示,提醒民眾在強對流天氣期間切勿貿然行經低窪積水路段,避免發生受困與危險‼️ By 奶茶同萌 🔍 奶茶同萌開放爆料,歡迎私訊粉專提供更多第一手觀察 #淪陷區 #西安暴雨 #內澇災情 #暴

31 Jul 2026, 07:13 UTC99 viewsread 7 August 2026
Forwarded from @VoiceofPoohPhoto

7月30日,某书店内。 《习近平谈治国理政》“NPC”“拉完了” 查看原文 source🔍 消息来源🔍

30 Jul 2026, 11:49 UTC100 viewsread 7 August 2026
Forwarded from @VoiceofPoohPhoto

🇹🇼 滲透北約總部!華裔加拿大籍女 AI 學者涉為淪陷區搜集情報被捕‼️ 比利時當局近日逮捕一名曾在北約軍事總部(SHAPE)實習的華裔加拿大籍女子克萊爾·Z.(Claire Z.)‼️ 這名專攻人工智慧(AI)的研究員持有加拿大安全許可,過去曾任職於歐洲航天局與世貿組織。然而,她在實習期間因頻繁在大樓附近逗留並探詢安全漏洞等異常行為,遭北約反情報部門盯上。調查指出,她涉嫌收集人員身分、警衛巡邏路線、建築平面圖及監控鏡頭位置等敏感資訊並提供給淪陷區情報機構,目前已被延長審前拘留‼️ 這起案件再次暴露出極權體制利用學術背景與國際機構漏洞進行滲透的手段。淪陷區透過軟性身分包裝專業人才,將情報觸角伸入全球國防與安全核心,顯示其野心早已無孔不入。國際社會若缺乏警覺與嚴密審查,將讓民主陣營的國防基石面臨嚴重威脅‼️ By 奶茶同萌 🔍 奶茶同萌開放爆料,歡迎私訊粉專提供更多第一手觀察 #北約間諜 #淪陷區 #情報安全 #滲透危

30 Jul 2026, 02:14 UTC99 viewsread 7 August 2026
Forwarded from @VoiceofPoohPhoto

问:你是否愿意为国家抛头颅、洒热血? 答:愿意!若有战,召必回! 问:你是否愿意为党牺牲一切? 答:愿意!我永远忠诚党! 问:你是否坚信习近平总书记的指导? 答:坚信! 问:那你是否愿意把器官捐给总书记? 答:(沉默) 😎 匿名投稿 消息来源🔍

29 Jul 2026, 06:37 UTC120 viewsread 7 August 2026
Forwarded from @VoiceofPoohPhoto

开动脑筋嘛,走点资本主义咋了嘛,国家命脉矿山重工业承包给私人老板(实际受益人 中yang和官僚)私有化一下咋了嘛,你说国企央企是国有制?不好意思其实官有制啦,我怕你们造反我说归国家所有呢。私企呢,随便剥削一下没事哒,生产资料私人有一下咋了,让你们私有一下小店铺,占点小便宜,我才能名正言顺私有呢不是吗(经济基础决定上层建筑)你私有点小店小作坊,我私有的是整个国唉不用谢。再搞搞消息封锁,男女呢,对立起来!教育,愚昧起来!民族,对立起来!美国,完蛋起来!你们慢慢内斗哈我反正是赚麻了,房子割你医疗割你超高税务割你教育割你股市割你,那你忍忍呗😃,我反正是开动脑筋了,私有国家资源已经满足不了我了,我得彻底私有你们,你们就是我的心肝肺。我们这个集团,还得称帝呢,但绝对不能捅破窗户纸啦,这个分寸我是把握死死的呢,我每天必须醒来第一句就是社会主义,除了社会主义还是社会主义,我为人民服务啊,你别管我咋干的,我就是为人民服务,社会主义是资源公有制,

28 Jul 2026, 10:28 UTC111 viewsread 7 August 2026
Forwarded from @VoiceofPoohVideo

日本地震,日本熊本县发生7.1级地震,大楼出现剧烈晃动!上海也有明显震感

Showing the 12 most recent of 13 posts we hold for @VoPMilkTea. 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.

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

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

“「Vop」維聲-奶茶同萌” (@VoPMilkTea), 1,852 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/VoPMilkTea.

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.