现在的ai越来越会了

Channel
板栗吃瓜群
@zaixianchigua
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
35,543subscribers
-94 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001604944829 |
|---|---|
| Type | Channel |
| Username | @zaixianchigua |
| Description | 专注于分享国内外八卦视频以及资源分享和加密货币,更多功能还在开发中 商务广告请联系: @shangwuxiaozhuli_bot 投稿: @shangwuxiaozhuli_bot |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/zaixianchigua |
Topic
Marketing & affiliate — 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 50% 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 |
|---|---|---|
| 18 Sept 2026, 22:01 | 35,543 | -26 |
| 14 Sept 2026, 17:17 | 35,569 | +24 |
| 13 Sept 2026, 01:38 | 35,545 | -19 |
| 11 Sept 2026, 04:16 | 35,564 | +17 |
| 8 Sept 2026, 07:19 | 35,547 | -18 |
| 5 Sept 2026, 05:37 | 35,565 | -10 |
| 3 Sept 2026, 09:29 | 35,575 | -12 |
| 2 Sept 2026, 04:14 | 35,587 | +4 |
| 1 Sept 2026, 06:35 | 35,583 | -2 |
| 31 Aug 2026, 09:13 | 35,585 | -7 |
| 30 Aug 2026, 12:07 | 35,592 | +14 |
| 29 Aug 2026, 12:15 | 35,578 | -3 |
| 28 Aug 2026, 12:12 | 35,581 | +8 |
| 27 Aug 2026, 10:44 | 35,573 | -12 |
| 26 Aug 2026, 12:14 | 35,585 | -7 |
| 25 Aug 2026, 15:04 | 35,592 | -3 |
| 24 Aug 2026, 13:28 | 35,595 | -13 |
| 23 Aug 2026, 00:09 | 35,608 | +9 |
| 21 Aug 2026, 11:23 | 35,599 | -3 |
| 20 Aug 2026, 11:14 | 35,602 | first reading |
Engagement
789 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 82 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.573%
- avg views ÷ 35,543 subscribers
- Avg views / post
- 204
- 422 posts measured
- Reaction rate
- 0.529%
- reactions ÷ views · ER floor
- Posts in window
- 422
- of 789 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 185 of 422 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 September 2026 |
|---|---|
| Posts held | 789 (7 August 2026 – 25 September 2026) |
| Views total | 85,941 |
| Reactions total | 225 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Sept 2026, 03:13 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
- ≈14,800
- Videos
- ≈25,500
- Links
- ≈1,610
Lifetime counters from Telegram’s own channel header, read 25 September 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.
- Video runtime
- 6h 16m
- Average length
- 41s
Measured directly from 548 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.
Reaction mix
429 reactions across 296 posts, in 22 distinct kinds. The most used accounts for 57.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 248 | 57.8% | |
| ❤ | 90 | 21.0% | |
| 👏 | 14 | 3.26% | |
| 😁 | 11 | 2.56% | |
| 😭 | 11 | 2.56% | |
| 💩 | 8 | 1.86% | |
| ⚡ | 7 | 1.63% | |
| 🎉 | 6 | 1.40% | |
| 🔥 | 6 | 1.40% | |
| 🌭 | 4 | 0.932% | |
| 🤬 | 4 | 0.932% | |
| 🤮 | 4 | 0.932% | |
| 🤣 | 3 | 0.699% | |
| 🥰 | 3 | 0.699% | |
| 👎 | 2 | 0.466% | |
| 😱 | 2 | 0.466% | |
| 💯 | 1 | 0.233% | |
| 🖕 | 1 | 0.233% | |
| 😢 | 1 | 0.233% | |
| 🙏 | 1 | 0.233% | |
| 2 further kinds | 2 | 0.466% |
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 324 of the 789 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 429 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 789 most recent posts we hold, published 7 August 2026 to 25 September 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
房子第一次就这样给出去了
打麻将玩着玩着怎么还急眼了呢
你老婆
这摩托车是不是成精了啊
哪来的骚货
这男人和女人究竟是什么仇什么怨啊,光天化日之下把人衣服给扒了,还骑车撞她。
❤2
#群友爆料:玉米地瓦雷度假村,D栋左手第二个办公室做的是军包,负责人啊翔,联合下面兄弟自己做后台飞单、做假账,交物业费和电费。 上面大老板常年不在公司,一直都是这个叫啊翔的人负责,而且烂赌,外面欠几百万,一直在飞单和做假账,公司早两个月前就运转不起,都是靠卖人来周转。 后勤光头黑龙一直跟啊翔一起飞单。啊翔,你他妈的人在做,天在看。你不要以为你跟黑龙做的事情,上面老板不知道。老子天天曝光你,你上面的老板总会看见。你哪些账一查就知道,你不要以为把老子逼走了,你就好一手遮天。
🤩1
电瓶车这瓜吃的有点蒙
多少有点无能狂怒了
中国大爷做了我一直想做,不敢做的事。
马来西亚 🇲🇾 槟城州
Showing the 12 most recent of 789 posts we hold for @zaixianchigua. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
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.
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.
@lightrekt · 49,340#1
@JNAF8888 · 7,900#2
@DBHR8 · 19,064#3
@xingchen0829 · 7,479#4
@okshijie · 2,909#5
@jinxw · 10,532#6
@worldpay_00 · 78#7
@kyqp617 · 18,722#8
Read from Telegram’s recommendation API, most recently 2 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.
@lightrekt · 49,340
Telegram ranks this channel #15 of 35 here — alongside 34 others — read 25 August 2026
@xigang9918 · 67,385
Telegram ranks this channel #34 of 41 here — alongside 40 others — read 24 August 2026
This channel appears in 2 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“板栗吃瓜群” (@zaixianchigua), 35,543 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/zaixianchigua.
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.