Telegram RegisterThe public register of Telegram

Channel

推个鸡场|优质小而美机场推荐

@PushGoodCloud

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

11,341subscribers

+37 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001978366667
TypeChannel
Username@PushGoodCloud
Description▎一个十八线的机场测评频道 ——致力于小而美机场推荐 为你客观的阐述所推荐机场的情况,多方位综合可选 ▎这是频道相关群组喔: @OowoO_Chat ▎这是我们的测评查询机器人: @PushGoodCloud_Bot ▎这都2026了.ᐟ.ᐟ ᯅ̈
CreatedBetween 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/PushGoodCloud

Growth

11,30411,34111,322.57 August 2026 — 11,304 subscribers7 August 2026 — 11,309 subscribers8 August 2026 — 11,315 subscribers9 August 2026 — 11,317 subscribers10 August 2026 — 11,333 subscribers11 August 2026 — 11,334 subscribers12 August 2026 — 11,341 subscribers7 August 202612 August 2026
7 measurements spanning 5 days, net +37. 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 11,298–11,347 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:5711,341+7
11 Aug 2026, 16:1311,334+1
10 Aug 2026, 18:2811,333+16
9 Aug 2026, 20:3111,317+2
8 Aug 2026, 20:1211,315+6
7 Aug 2026, 22:5211,309+5
7 Aug 2026, 13:4811,304first reading

Engagement

7 posts held, back to 3 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 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.1%
avg views ÷ 11,341 subscribers
Avg views / post
1,830
7 posts measured
Reaction rate
0.317%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 6 of 7 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 11 August 2026
Posts held7 (3 August 202611 August 2026)
Views total12,790
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 04:12 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
59
Videos
2
Links
279

Lifetime counters from Telegram’s own channel header, read 13 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.

Reaction mix

36 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1438.9%
👍925.0%
💩719.4%
👎616.7%

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 6 of the 7 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 36reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 3 August 2026 to 11 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

11 Aug 2026, 08:42 UTC≈1,000 views4 reactionsread 13 August 2026
File

#良心云 #测速 #直连机场 #简短测评 075 良心云 ✈️ ▎机场信息 🍓官网: 良心云官网 ✈️频道: @liangxin_yun ✈️群组: @liangxinyun_chat 🗓开业时间:2025/3 🐷 ▎主观评分 稳定性 ★★★☆☆ 速度 ★★★☆☆ 性价比 ★★★★★ ⚠️ 以上评分为主包的主观评分,仅供参考 🚀 ▎测速节点 佛山联通2G、深圳电信、苏州移动1G ✈️ ▎机场类型 - 全直连 - 节点类型:Vless+Hy2 🌟 ▎ 个人评价 测到最后还是良心云好测 🥹 性价比这一块主包就不说了👀 真就挺建议买个来备用的,拿来跑下载看Emby都挺合适 - 套餐最低 2元/100G/月 ,几乎全1倍率节点,还有部分0.1倍率的节点 - 节点油管送中的还真不少(送中的节点看油管没广告 🥹 妥妥好事好吧) - 速度三网跑单线程该有速度的都有 - 依旧AWS直连大家族 好吧,依

👍4

9 Aug 2026, 04:02 UTC≈1,430 viewsread 13 August 2026

#频道互推 #群组推荐 健身组(健身小姐姐集合) 二次元轻小说书屋 金十数据 闪电资讯 公益资源外挂分享 精选小说音乐 分享推荐 朱颜别镜 | 妹子图 | 美女图 无损音乐分享频道  App Store 限免应用 Galgame分享频道 电报频道&群组索引

8 Aug 2026, 07:35 UTC≈1,790 views13 reactionsread 13 August 2026

🌟 ▎主包的近期体验 如果你要问主包最近用的什么机场👀 🟠Lumina & 🟠念云 (点击蓝色字体可直接跳转测评内容) 念云0.15倍的香港下载节点拿来看emby也是十分好用。我印象中的低倍率一般都不是很好用,但这家确实有点出乎意料了 Lumina用着就属于是那种十分省心系列的,整体来说很舒适 省流: - 这两家日常用着没感觉,属于是0糟心很舒适系列。 - 念云有低倍率,但是比Lumina贵点 - Lumina便宜点,但是节点总数没念云多 - 这两家都很有性价比👀

8👎5

6 Aug 2026, 15:54 UTC≈2,020 views9 reactionsread 13 August 2026
File

#影子 #中转机场 #直连机场 #送测 #简短测评 ✈️ ▎机场信息 🍓官网: 影子官网 ✈️频道: @yingziyyds ✈️群组: @yingziniub 🗓开业时间:2024.1 🐷 ▎主观评分 稳定性 ★★☆☆☆ 速度 ★★☆☆☆ 性价比 ★★☆☆☆ ⚠️ 以上评分为主包的主观评分,仅供参考 🚀 ▎测速节点 佛山联通2G、北海联通2G、深圳电信2G、广州移动2G ✈️ ▎机场类型 - 中转[海外入口] + 直连 - 节点类型:AnyTLS + Hy2 🌟 ▎ 个人评价 要求复测的一家机场,配置方面相对来说要比上次优化了不少 - 价格&倍率: 套餐最低 折后 15.98元/150G/月。几乎全1倍率节点,少部分0.5倍率的直连节点,无高倍率节点 - 速度方面: 主入口: AWS 日本入口、Azure 香港入口 从测速上看 体验方面 联通>移动/电信 - 解锁就一般了

💩7👍1👎1

5 Aug 2026, 15:25 UTC≈2,070 views3 reactionsread 13 August 2026
File

#StepFly #阶跃云 #中转机场 #送测 #简短测评 ✈️ ▎机场信息 🍓官网: StepFly官网 ✈️频道: @stepfly1337_cloud ✈️群组: @stepfly_cloud 🗓开业时间:2026.7 🐷 ▎主观评分 稳定性 ★★☆☆☆ 速度 ★★☆☆☆ 性价比 ★★★☆☆ ⚠️ 以上评分为主包的主观评分,仅供参考 🚀 ▎测速节点 佛山联通2G、深圳电信2G、惠州移动1G ✈️ ▎机场类型 - 中转[海外入口] + 直连[一点点] - 节点类型:Vless + AnyTLS 🌟 ▎ 个人评价 线路挺多的一家机场,全中转,入口 CF + KT(韩国通信 Korea Telecom) 也是量大管饱系列,只建议拿来备用或者跑下载 🐶 节点虽多,但跑的稍微快点的只有热门地区,其他冷门地区仅可用速度(属于纯点亮系列) - 价格&倍率: 套餐最低 1元/100G/月。家宽

3

4 Aug 2026, 02:36 UTC≈2,430 views1 reactionsread 10 August 2026
Photo

上次看到这类消息 貌似还是今年3 4月份 说是某些省份的某些运营商 对出海流量进行限速 这还没过多久 就开始出现定向封锁了 难说后面会不会全方位推广 怎么办? 多备几个不同类型的场子咯 话又说回来了 买机场 只建议 月付 月付 月付

1

3 Aug 2026, 16:00 UTC≈2,050 views6 reactionsread 10 August 2026
File

#Nvenix云 #Nvenix #直连机场 #中转机场 #送测 #简短测评 ✈️ ▎机场信息 🍓官网: Nvenix云官网 ✈️频道: @nvenix ✈️群组: @jjfm664 🗓开业时间:2026.5 🐷 ▎主观评分 稳定性 ★★★★☆ 速度 ★★★☆☆ 性价比 ★★★☆☆ ⚠️ 以上评分为主包的主观评分,仅供参考 🚀 ▎测速节点 深圳电信5G、佛山联通2G、深圳电信2G、东莞移动1G ✈️ ▎机场类型 - 中转[海外入口] + 直连 - 节点类型:AnyTLS 🌟 ▎ 个人评价 一家直连混海外中转的机场,一套测下来移动还是可以的,也是挺有性价比的 🐷 - 价格&倍率: 套餐最低 5元/200G/月 。节点0.1 - 10倍,1倍多数,3倍10倍少数,外加部分少数0.1/0.5倍 - 速度方面: 移动测起来还可以的,电信和联通相对来说次了一点 主包这移动体验也还不错👀

👍42

Showing the 7 most recent of 7 posts we hold for @PushGoodCloud. 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 — 397,276 of 1,160,990entries 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 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.

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.

“推个鸡场|优质小而美机场推荐” (@PushGoodCloud), 11,341 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/PushGoodCloud.

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.