#山姆副卡 🇨🇳中国,山姆会员副卡,年付105,2人车补1人,只招长期车友,短期勿扰,跳车不退,翻车按比例退尾款。UID:5233322538 【状态】现已满员

Channel
[合租通知] Netflix|YouTube|Spotify|office365|Hbo|Surge|美剧|等音乐影视聊天机场电影盒子
@hezu2
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
100,731subscribers
+11 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001394398195 |
|---|---|
| Type | Channel |
| Username | @hezu2 |
| Description | 好物、街拍、软件、Apple、EXE、小说、搞笑、资源、视频、中文、Google、返利、二次元、自拍、机场、鉴、羊王、光棍协会、weibo、合租、软路由 |
| Created | Between 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/hezu2 |
Topic
Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 35% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 16:04 | 100,731 | +1 |
| 11 Aug 2026, 12:42 | 100,730 | +3 |
| 10 Aug 2026, 11:40 | 100,727 | +12 |
| 9 Aug 2026, 12:32 | 100,715 | +15 |
| 8 Aug 2026, 13:43 | 100,700 | +2 |
| 7 Aug 2026, 16:52 | 100,698 | -19 |
| 6 Aug 2026, 17:01 | 100,717 | -3 |
| 6 Aug 2026, 06:03 | 100,720 | first reading |
Engagement
130 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.78%
- avg views ÷ 100,731 subscribers
- Avg views / post
- 2,800
- 130 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 130
- of 130 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 130 (5 August 2026 – 12 August 2026) |
| Views total | 364,564 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:32 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
- Photos
- 996
- Videos
- 8
- Links
- 480
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
#Friday 台湾,vip,季付15,2人车补1人,台区流媒体 Friday,主打韩日剧动漫等,两人车缺1。通过Facebook登入,上车前确定自己可以使用,自备账号邀请制加家庭组,限台湾节点,只招长期。UID:5250646919 【状态】现已满员
#联合会员 ,88vip,优酷/芒果50丨饿了么 10丨高徳vip 10 丨飞猪 5 丨希尔顿 5 丨万豪 5 丨夸克 10 丨网易云音乐VIP 年卡 50,0人车补0人,0人车补0人,2027年8月11日到期。UID:1659481164
#Surge 🌐国际版,买断板,年付63,5人车补2人,Mac版,只招长期车友,短期勿扰,跳车不退,翻车按比例退尾款。UID:1267926207 【状态】现已满员
#Netflix 🇨🇱智利,4K方案,季付63元,5人车补4人,只接受长期上车车友,短期勿扰,禁用安卓盒子、安卓电视、Apple tv、游戏机等,禁止共享,禁止IP乱飞,跳车不退,翻车按比例退尾款。UID:354832270
#Netflix 🇭🇰香港,4k,季付60,5人车补2人,没有电视和游戏机。UID:5257735581
#联合会员 ,88vip,优酷/芒果 45丨网易云 40,0人车补0人,2027.08.12到期。UID:6940790263
#联合会员 ,88VIP,优酷|芒果 45,网易云45,飞猪5元,希尔顿5元,高德5元,0人车补0人,2027年8月11 日到期。UID:2145460646
#联合会员 ,88vip,优酷或芒果20左右可谈价格.希尔顿5,万豪5,0人车补0人,2027年6月6日到期。UID:7564966281
#Disney 🇺🇸美国,美国区无广告,110一年,7人车补5人,只招长期车友,短期勿扰,跳车不退,翻车按比例退尾款。UID:456193055
#ChatGPT 🇺🇸美国,Chatgpt plus,120一季/460一年,4人车补3人,(独享 480/季)共享我的帐号密码,一手机一电脑。 尽量美国节点使用。帐号异常情况下,车友必须接受验证码登陆。(当月或剩最后月份翻车不补号,只补足1个月或2个月)下车不退,上车联系。UID:456193055
#Spotify 🇺🇸美国,Premium,季付75,6人车补4人,只招长期车友,短期勿扰,跳车不退,翻车按比例退尾款。UID:7131311998
Showing the 12 most recent of 130 posts we hold for @hezu2. 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.
Posts edited after publishing
@hezu2 edited 15 posts 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.
- First edit seen
- 8 August 2026
- Most recent edit
- 12 August 2026
Citation-graph rank
Citation-graph rank — 370,690 of 1,151,006entries 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.
Mentions
Named by 7 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.
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.
“[合租通知] Netflix|YouTube|Spotify|office365|Hbo|Surge|美剧|等音乐影视聊天机场电影盒子” (@hezu2), 100,731 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/hezu2.
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.