🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-08 00:00:00 📊 抽奖号数:311 🎯 中奖数量:23 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:254, 32, 80, 249, 129, 229, 100, 219, 276, 188, 230, 20, 108, 65, 134, 98, 247, 263, 185, 277, 135, 309, 195 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":23…

Channel
命运之轮
@SaberVerifier
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,920subscribers
+38 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002460490198 |
|---|---|
| Type | Channel |
| Username | @SaberVerifier |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/SaberVerifier |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 00:46 | 1,920 | +37 |
| 7 Aug 2026, 18:30 | 1,883 | +1 |
| 6 Aug 2026, 20:05 | 1,882 | first reading |
Engagement
40 posts held, back to 6 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.63%
- avg views ÷ 1,920 subscribers
- Avg views / post
- 12.1
- 40 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 40
- of 40 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 7 August 2026 |
|---|---|
| Posts held | 40 (6 August 2026 – 7 August 2026) |
| Views total | 484 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:22 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.
Recent posts
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-08 00:00:00 📊 抽奖号数:73 🎯 中奖数量:1 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:66 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":1,"min":1,"max":73,"replacement":false,"base":10,"pregeneratedRandomization":null,"data":[66],"license":{"type…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 23:59:00 📊 抽奖号数:12 🎯 中奖数量:12 🎲 随机数生成 - 随机数生成方法:本地随机数 - 原始随机数序列:4, 12, 1, 11, 6, 8, 7, 2, 9, 3, 5, 10 ⚠️ 本次生成随机数调用Random.org API出现异常,为保证开奖顺利进行,本次抽奖使用本地随机数。 我们对本次抽奖结果的真实性负责,请放心。 📋 开奖过程 1. 随机号码:4 ↳ 该号码持有者中奖 2. 随机号码:12 ↳ 该号码持有者中奖 3. 随机号码:1 ↳ 该号码持有者中奖 4. 随机号码:11 ↳ 原始号码持有者已中奖,奖品分配给最接近的有效号码:10 5. 随机号码:6 ↳ 该号码持有者中奖 6. 随机号码:8 ↳ 该号码持有者中奖 7. 随机号码:7 ↳ 原始号码持有者已中奖,奖品分配给最接近的有效号码:3 8. 随机号码:…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 23:59:00 📊 抽奖号数:623 🎯 中奖数量:1 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:459 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":1,"min":1,"max":623,"replacement":false,"base":10,"pregeneratedRandomization":null,"data":[459],"license":{"…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 22:30:00 📊 抽奖号数:451 🎯 中奖数量:11 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:161, 268, 3, 282, 257, 207, 387, 109, 88, 331, 241 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":11,"min":1,"max":451,"replacement":false,"base":10,"pregener…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 22:22:00 📊 抽奖号数:222 🎯 中奖数量:12 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:26, 179, 101, 74, 88, 69, 115, 133, 53, 202, 34, 1 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":12,"min":1,"max":222,"replacement":false,"base":10,"pregener…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 22:00:00 📊 抽奖号数:317 🎯 中奖数量:5 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:96, 215, 299, 281, 247 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":5,"min":1,"max":317,"replacement":false,"base":10,"pregeneratedRandomization":null,"data"…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 22:00:00 📊 抽奖号数:91 🎯 中奖数量:1 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:72 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":1,"min":1,"max":91,"replacement":false,"base":10,"pregeneratedRandomization":null,"data":[72],"license":{"type…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 21:39:00 📊 抽奖号数:611 🎯 中奖数量:1 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:325 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":1,"min":1,"max":611,"replacement":false,"base":10,"pregeneratedRandomization":null,"data":[325],"license":{"…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 21:01:00 📊 抽奖号数:71 🎯 中奖数量:2 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:18, 43 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":2,"min":1,"max":71,"replacement":false,"base":10,"pregeneratedRandomization":null,"data":[18,43],"license"…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 21:00:00 📊 抽奖号数:114 🎯 中奖数量:6 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:77, 12, 82, 13, 95, 5 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":6,"min":1,"max":114,"replacement":false,"base":10,"pregeneratedRandomization":null,"data":…
🔍 抽奖随机数生成流程公示 ⏰ 开奖时间:2026-08-07 21:00:00 📊 抽奖号数:489 🎯 中奖数量:5 🎲 随机数生成 - 随机数生成方法:Random.org API - 原始随机数序列:365, 458, 377, 294, 93 🔐 Random.org 验证 关于利用 Random.org 生成可靠随机数的相关说明 random数据: {"method":"generateSignedIntegers","hashedApiKey":"N2soDMskUoil6IFOg/XarjdE3vEvcvQ+fuhqDa7VWp9WZJzufZAd9t6A57+rMu94swgdur0SPttcsSNtVvgWCA==","n":5,"min":1,"max":489,"replacement":false,"base":10,"pregeneratedRandomization":null,"data"…
Showing the 12 most recent of 40 posts we hold for @SaberVerifier. 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 — 3,050 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 165 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@GZSJQB · 17,42731 posts广佛猫社修车联盟报告收集
@gzmaoshe02 · 5,26618 posts广州茶馆-在榜老师(新榜)
@gzchaguan8 · 93,15416 posts深圳工兵团福利记录
@szgbt999 · 8,37915 posts深圳蟹堡王信息收集
@xbwyh · 4,24014 posts🐑村出击报告
@YangYyy98 · 3,71611 posts广州联邦出击报告
@GZLBCJ · 9,65510 posts抽奖专栏
@fshan103 · 3,0878 posts广州集美精选(福利资讯)
@GZJMflzx · 2408 posts惠州焦友抽奖频道
@TG1214M · 2,2778 posts义乌丝足抓龙筋-龟责潮喷-前高开发-sm
@ywzlj777 · 7218 posts神教公开榜
@GZSJB · 44,2007 posts南山简悦 & 私享半裸抓龙筋高端SPA
@Joy52088 · 8,6337 posts台州-老司机-公开榜
@taizhouxiuchezai · 48,3796 posts天然大咪咪
@bbyg168 · 6,0335 posts东莞公开榜置顶有抽奖 @vcaaa
@dg9876543210 · 23,4755 posts水果公告栏
@FruitNotice · 4,0665 posts海王宫报告榜
@HWGBG · 2,0195 posts小y的朋友圈
@xypyxy1 · 1,0775 posts广州🐑村榜(每天抽现金)
@guangzhoumiemie · 7,5664 posts喵喵💗个兼(首次下海)🧚🏻♀️
@hhugfds · 2,0054 posts小琦
@xiaoqiaaa · 6214 posts欣悦的秘密
@xinyueyyx · 8964 posts福利社-公告频道
@yiwutongzhi · 2,3624 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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“命运之轮” (@SaberVerifier), 1,920 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/SaberVerifier.
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.