#122体育❗️巨额出款无忧❗️ 📛😀😳😳😀😳😳😀😳😳😀😳😳 😀😳😳 😀😀😀😀 👌👌👌USDT存出款,不限IP 提款无上限! PG电子🔔百家乐各大真人视讯 0风控 ❗️0审核 ❗️包出款 不管多大额都给你出款的才牛逼 除了出款稳、其他一无是处!!! 🆘硬核福利🆘❗️ 💎充1000 送300📌 💎充3000送500📌 🔔福利频道: @PG1814 ♾ ✅客服专员: @xixiwct 🥹 ✅注册网址: 1221991.com ✅
😍8

Channel
@gaoxiaochigua8
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Polls · Citations · Cite this entry
65,794subscribers
+12,215 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001471803128 |
|---|---|
| Type | Channel |
| Username | @gaoxiaochigua8 |
| Description | 每日更新 吃瓜,搞笑 视频。 商务合作: @xuancc1 @Xuancc1_bot |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 9 November 2026 |
| Measurements held | 64 |
| Confirmed unchanged | 1 time, most recently 9 November 2026 |
| On Telegram | t.me/gaoxiaochigua8 |
Gambling & betting — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Nov 2026, 02:29 | 65,794 | -678 |
| 7 Nov 2026, 20:54 | 66,472 | -666 |
| 6 Nov 2026, 21:56 | 67,138 | -440 |
| 5 Nov 2026, 23:58 | 67,578 | -599 |
| 5 Nov 2026, 01:51 | 68,177 | -289 |
| 4 Nov 2026, 01:11 | 68,466 | +5,037 |
| 3 Nov 2026, 02:58 | 63,429 | -202 |
| 2 Nov 2026, 04:41 | 63,631 | -3,153 |
| 1 Nov 2026, 05:19 | 66,784 | -990 |
| 31 Oct 2026, 07:46 | 67,774 | +2,125 |
| 30 Oct 2026, 04:57 | 65,649 | -549 |
| 29 Oct 2026, 08:09 | 66,198 | -666 |
| 28 Oct 2026, 09:48 | 66,864 | -653 |
| 27 Oct 2026, 07:37 | 67,517 | -555 |
| 26 Oct 2026, 09:06 | 68,072 | -911 |
| 25 Oct 2026, 09:56 | 68,983 | -539 |
| 24 Oct 2026, 06:55 | 69,522 | +1,858 |
| 23 Oct 2026, 06:16 | 67,664 | +775 |
| 22 Oct 2026, 08:17 | 66,889 | -679 |
| 21 Oct 2026, 03:11 | 67,568 | first reading |
970 posts held, back to 7 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 196 pages of Telegram’s post history, 20 posts per page.
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 261 of 276 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 November 2026 |
|---|---|
| Posts held | 970 (7 August 2026 – 9 November 2026) |
| Views total | 1,149,773 |
| Reactions total | 6,105 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 22:57 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.
Lifetime counters from Telegram’s own channel header, read 9 November 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.
Measured directly from 639 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.
18,817 reactions across 870 posts, in 15 distinct kinds. The most used accounts for 30.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5,776 | 30.7% | |
| 👍 | 5,657 | 30.1% | |
| 🔥 | 5,601 | 29.8% | |
| 💩 | 528 | 2.81% | |
| 👎 | 454 | 2.41% | |
| 🤮 | 367 | 1.95% | |
| 👏 | 173 | 0.919% | |
| 😍 | 134 | 0.712% | |
| 🥰 | 97 | 0.515% | |
| 🤣 | 12 | 0.064% | |
| 👀 | 6 | 0.032% | |
| 🤡 | 4 | 0.021% | |
| 💯 | 3 | 0.016% | |
| 😭 | 3 | 0.016% | |
| 🙏 | 2 | 0.011% |
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 872 of the 970 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 18,817 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 970 most recent posts we hold, published 7 August 2026 to 9 November 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.
Telegram’s own ‘edited’ marker: 4 of 276 posts held from the last 30 days (1.45%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#122体育❗️巨额出款无忧❗️ 📛😀😳😳😀😳😳😀😳😳😀😳😳 😀😳😳 😀😀😀😀 👌👌👌USDT存出款,不限IP 提款无上限! PG电子🔔百家乐各大真人视讯 0风控 ❗️0审核 ❗️包出款 不管多大额都给你出款的才牛逼 除了出款稳、其他一无是处!!! 🆘硬核福利🆘❗️ 💎充1000 送300📌 💎充3000送500📌 🔔福利频道: @PG1814 ♾ ✅客服专员: @xixiwct 🥹 ✅注册网址: 1221991.com ✅
😍8
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请问图中开车姿势被拍到会扣几分
👏8
公交车上车震
👏12
下雨天,封路办马拉松,外卖小哥对其称赞不已
网传消息
👏17🔥17❤15🥰9
男孩子出门在外一定要好好保护自己!
🥰10❤9
彭博社:日本正努力确保习近平在本月于中国举行的亚太经合组织(APEC)会议上与高市早苗会面时,不会冷落她,日本官员期望作为东道主领导人至少能以礼节性的握手向她致意。 据知情人士透露,日本官员已向中方寻求保证,希望习近平能给予高市早苗与其他世界领导人同等的礼遇。这些未获授权公开讨论私下事务的人士补充说,如果 11 月 18 日至 19 日的会议期间出现任何针对日方的异常安排,东京方面将提出抗议。 熟悉筹备情况的人士表示,高市早苗与习近平在 APEC 峰会上举行双边会晤的可能性较低。双方的接触预计将仅限于 APEC 正式日程中的礼节性互动,例如在领导人晚宴上,预计习近平将逐一迎接并与各位领导人致意。 中国国务院总理李强将出席在菲律宾马尼拉举行的东盟峰会,他可能会在那里与高市早苗会面,鉴于高市早苗并非国家元首,从礼宾对等角度而言,李强是她的对口官员。
年轻女孩的铁饭碗是大奶子,没毛病😂
美国的AI大佬们绝大部分已经被中国的女人们掌控了 就看哪位姐妹可以拿下马斯克了
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Photo, posted without a caption
😍7
Photo, posted without a caption
😍11🔥8
Showing the 12 most recent of 970 posts we hold for @gaoxiaochigua8. 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.
We recorded 5 posts on @gaoxiaochigua8 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
群友们中秋打炮了吗?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 970 most recent posts we hold, published 7 August 2026 to 9 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Names
Channels on the register whose handles appear in this channel's 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.
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 9 November 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜搞笑段子🍉” (@gaoxiaochigua8), 65,794 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/gaoxiaochigua8.
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.