#厚道云 #chatgpt #tiktok #流媒体解锁 #不限时流量包 #企业套餐 测速环境:#河北联通1000 优惠码SKVB779 12r半年付每月100g,21r不限时1000g,这俩都挺值的 完整套餐价格图 机场地址:厚道云

Channel
便宜机场测速
@cheap_proxy
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
26,081subscribers
+546 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001445449028 |
|---|---|
| Type | Channel |
| Username | @cheap_proxy |
| Description | 投稿请联系 @peregrinate1,只接机场主或管理员投稿 主打评测实惠机场,全部家用机,三网测速,只测用户能实际订阅到的套餐,每日更新,保证测速图真实,欢迎投稿。 便宜机场测速:https://t.me/cheap_proxy 讨论群:https://t.me/plusasec 购买广告: https://telega.io/c/cheap_proxy |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/cheap_proxy |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 43% 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 |
|---|---|---|
| 14 Oct 2026, 21:49 | 26,081 | +12 |
| 13 Oct 2026, 11:00 | 26,069 | +21 |
| 9 Oct 2026, 11:41 | 26,048 | +22 |
| 5 Oct 2026, 05:37 | 26,026 | +98 |
| 28 Sept 2026, 13:22 | 25,928 | +105 |
| 17 Sept 2026, 17:58 | 25,823 | +26 |
| 15 Sept 2026, 13:38 | 25,797 | +13 |
| 13 Sept 2026, 22:39 | 25,784 | +19 |
| 12 Sept 2026, 03:56 | 25,765 | +6 |
| 9 Sept 2026, 23:17 | 25,759 | +21 |
| 6 Sept 2026, 18:19 | 25,738 | +22 |
| 4 Sept 2026, 07:59 | 25,716 | +1 |
| 2 Sept 2026, 23:28 | 25,715 | +4 |
| 1 Sept 2026, 18:03 | 25,711 | +11 |
| 31 Aug 2026, 15:48 | 25,700 | +7 |
| 30 Aug 2026, 15:44 | 25,693 | +16 |
| 29 Aug 2026, 14:16 | 25,677 | +6 |
| 28 Aug 2026, 14:34 | 25,671 | +8 |
| 27 Aug 2026, 17:48 | 25,663 | +11 |
| 26 Aug 2026, 19:58 | 25,652 | first reading |
Engagement
61 posts held, back to 25 July 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 97 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.43%
- avg views ÷ 26,081 subscribers
- Avg views / post
- 1,160
- 20 posts measured
- Reaction rate
- 0.103%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 61 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 10 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 October 2026 |
|---|---|
| Posts held | 61 (25 July 2026 – 13 October 2026) |
| Views total | 23,117 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Oct 2026, 10:21 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
- ≈10,500
- Videos
- ≈2
- Links
- ≈6,620
Lifetime counters from Telegram’s own channel header, read 15 October 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
47 reactions across 22 posts, in 4 distinct kinds. The most used accounts for 48.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 48.9% | |
| 👎 | 16 | 34.0% | |
| 👍 | 7 | 14.9% | |
| 👏 | 1 | 2.13% |
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 29 of the 61 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 25 July 2026 to 13 October 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
#大飞云 #流媒体解锁 #不限时流量包 #不限设备数 #chatgpt #BGP #vless #reality 测速环境: #上海电信1000 #河北联通1000 #成都移动1000 5.6r不限时10g小包 完整套餐价格图 机场地址:大飞云
❤1👎1
#互推 【影视分享】115影视资源分享频道 【书籍分享】电子书资源分享 📚 【资源分享】浅秋分享社 | 破解软件 |游戏分享 【科技热点】APPDO的互联网记忆 【网络分享】Appinn Feed|小众软件 【小说分享】Lemaned的宝藏书屋(轻小说书库) 【机场测速】便宜机场测速 【网络分享】互联网研习社(破解软件/游戏 | 实测) 【资源分享】小声逼逼 Powered by @Summer_Clear_Sky_Bot
#超级飞鱼 #不限速 #不限设备数 #不限时流量包 测速环境:#上海电信1000 #成都移动1000 6r月80g 完整套餐价格图 机场地址:超级飞鱼
测速机场:#CheapV2ray #试用 晚高峰测速 测速环境: #上海电信1000 机场网址:便宜机场
#吹雪 #chatgpt #流媒体解锁 #ss-obfs #不限时流量包 测速环境:#上海电信1000 8r月80g,超级杯228r一年,月400g。 完整套餐价格图 机场地址:吹雪
❤3
#fly云 #不限速 #chatgpt #流媒体解锁 #不限时流量包 #企业套餐 #试用 测速环境:#上海电信1000 #成都移动1000 便宜机场,1r月100g,5r100g不限时 完整套餐价格图 机场地址:fly云
#淼淼云 #不限时流量包 #流媒体解锁 #chatgpt 测速环境:#上海电信1000 #成都移动1000 年付套餐15r年128g感觉还行 9折优惠码:miao-9 (一次性套餐不可用) 完整套餐价格图 机场地址:淼淼云
#迷途猫 #chatgpt 测速环境:#上海电信1000 8.9r月60g 完整套餐价格图 机场地址:迷途猫
👍1
#猫熊,#流媒体解锁 #vmess #ssr #试用 #免流,晚高峰香港节点测速 测速环境: #上海电信1000 原生ip,提供专线节点。专线价格挺便宜。 完整套餐价格图 机场网址:猫熊 博客:菜鸡blog
❤1
#魔戒 #不限时流量包 #流媒体解锁 #不限设备数 测速环境:#上海电信1000 纯流量计费创始者,14.9元/130g不限时 完整套餐价格图 机场地址:魔戒
#比特冲刺 #流媒体解锁 #chatgpt #不限速 #不限时流量包 测速环境:#上海电信1000 5r月100g,直连套餐29r季付一次性1000g 完整套餐价格图 机场地址:比特冲刺
Showing the 12 most recent of 61 posts we hold for @cheap_proxy. 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.
Mentions
Named by 26 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.
@cyber_confessional · 40,5176 postsNaruto 频道推荐 👍👍👍
@AChansp · 23,7962 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 38,5172 posts超级索引🔍
@hao123hub · 1,0192 posts浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 49,8672 posts115影视资源分享频道
@QukanMovie · 31,6082 posts日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 23,8662 posts资源分享客栈-Applnn
@zyfxlnn · 33,0742 posts来一点医学科学前沿🤯🤯🥹🥹
@CNSmydream · 14,0031 postcosplayupload
@cosplayuploadtest2 · 1,9991 post爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 9,9951 post•导航频道
@guantou · 9501 post科学上网机场节点
@hxcqiang · 91 postillustrationupload
@illustrationuploadtest · 4,6211 post🐾东萝东萝教教教🐾
@Loli_File · 11,3861 post小声逼逼
@me888888888888 · 51,8621 postTelegram新手指引频道
@QingYun00 · 1761 postTelegram中文新手指导
@QQQCJJ · 681 postshadow
@shadow1lll · 41 post整点🐔
@tg_see · 2651 post網絡•安全•資源平台
@tgdailigg · 9071 post安卓黄油の领域(转世重生ver)❤️
@thomasaua · 112,9211 postwebtoonupload
@webtoonuploadtest · 1,1531 post观影视界[GyWEB]
@WFYSFX03 · 7,0071 post
Names
Channels on the register whose handles appear in this channel's posts.
@cheap_proxy_priceimg · 61439 posts永不消逝的音声
@ASMR86866 · 29,0843 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 38,5173 posts电子书资源分享 📚
@KaiPanshare · 17,6613 posts浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 49,8673 posts日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 23,8663 postsNaruto 频道推荐 👍👍👍
@AChansp · 23,7962 posts来一点医学科学前沿🤯🤯🥹🥹
@CNSmydream · 14,0032 posts爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 9,9952 posts🐾东萝东萝教教教🐾
@Loli_File · 11,3862 posts115影视资源分享频道
@QukanMovie · 31,6082 posts资源分享客栈-Applnn
@zyfxlnn · 33,0742 postsAPPDO的互联网记忆
@appdopic · 16,6401 postAppinn Feed|小众软件
@appinnfeed · 34,0641 post赛博忏悔室
@cyber_confessional · 40,5171 postFFQ Cloud 订阅|id分享中心
@ffqidfx · 7,5301 post音文拾光 🎵 精选小说音乐 分享推荐
@Flymirai · 25,5561 postiOS破解游戏软件分享
@iOSAWJ · 40,7911 postnvenix云机场交流群
@jjfm664 · 1,8681 post小声逼逼
@me888888888888 · 51,8621 post安卓黄油の领域(转世重生ver)❤️
@thomasaua · 112,9211 post万卷书屋/小说推荐/禁忌书屋
@wanjsw · 237,4521 post樱の音
@yingdeyue · 4321 post折腾啥
@zhetengsha · 51,7861 post
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@jctest6666 · 10,592#1
@cloudtestcesu · 15,662#2
@gebaopiCloud · 101,385#3
@ffqchannel · 65,232#4
@jngchannel · 17,002#5
@haitun_channel · 37,954#6
@xiaozhenag04 · 3,877#7
@askahh · 14,994#8
@VPN_Police · 8,234#9
@Tjjcfx · 17,857#10
@airport_cn · 16,371#11
@wxgqlfx · 33,506#12
@tkv_ktv · 2,457#13
@jichangtj · 133,980#14
@arzhecn · 2,797#15
@PushGoodCloud · 12,989#16
@CloudFisher · 14,898#17
@reasonable_airport · 4,527#18
@coalcloud · 5,989#19
@grawgu · 1,507#20
@GoodAirport · 7,381#21
@SpeedCentrePro · 6,150#22
@AirportAnalysis · 4,288#23
@cloudtestprice · 1,749#24
@me888888888888 · 51,862#25
@ffq_la · 3,389#26
@zaihuapd · 285,720#27
@xhqcankao · 165,243#28
@GodlyNews1 · 69,969#29
@vps_xhq · 50,176#30
@DNSPODT · 72,708#31
@KuaiCheDao_Info · 7,181#32
@yuki_hasu · 1,083#33
@OuONotification · 7,956#34
@XFLTDtop · 18,885#35
@akile_notice · 18,789#36
@nodpai · 8,440#37
@tnews365 · 164,902#38
@FlClash · 49,255#39
@acgdaily · 16,826#40
@zrj96 · 17,451#41
@fullbugccc · 1,316#42
@eggtartcloud · 1,979#43
@CE_Observe · 76,073#44
@nodeseekc · 37,952#45
@AladdinNotice · 4,724#46
@zhetengsha · 51,786#47
@NewlearnerChannel · 67,792#48
@NobyDa · 63,903#49
Read from Telegram’s recommendation API, most recently 13 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@DuyaoSS · 67,517
Telegram ranks this channel #8 of 45 here — alongside 44 others — read 20 August 2026
@jichangtj · 133,980
Telegram ranks this channel #9 of 54 here — alongside 53 others — read 15 August 2026
@ffqchannel · 65,232
Telegram ranks this channel #11 of 45 here — alongside 44 others — read 22 August 2026
@wxgqlfx · 33,506
Telegram ranks this channel #12 of 37 here — alongside 36 others — read 5 September 2026
@FreeVPN8 · 43,719
Telegram ranks this channel #12 of 30 here — alongside 29 others — read 30 August 2026
@haitun_channel · 37,954
Telegram ranks this channel #14 of 39 here — alongside 38 others — read 1 September 2026
@go4sharing · 57,603
Telegram ranks this channel #17 of 40 here — alongside 39 others — read 29 August 2026
@gebaopiCloud · 101,385
Telegram ranks this channel #18 of 56 here — alongside 55 others — read 15 August 2026
@WFVPN · 39,543
Telegram ranks this channel #20 of 32 here — alongside 31 others — read 31 August 2026
@ygpy_net · 43,859
Telegram ranks this channel #30 of 43 here — alongside 42 others — read 29 August 2026
@XFLTDtop · 18,885
Telegram ranks this channel #39 of 48 here — alongside 47 others — read 5 October 2026
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“便宜机场测速” (@cheap_proxy), 26,081 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/cheap_proxy.
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.