#台灣台南歸仁聖元宮 在外面赌博输了不少钱 在神灵前执行家法 #吃瓜 #每日瓜讯

Channel
中文吃瓜中心沙雕日常 🍉
@chigua_a
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
216,083subscribers
+11,384 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001936409813 |
|---|---|
| Type | Channel |
| Username | @chigua_a |
| Description | 爆料投稿商务合作: 广告投放 投诉建议 是听暖呀~: @tingnuan1 莉莉娅🎀 : @bawei8 投稿: @bawei8 💬💬每日精选推送💬💬 新闻 |吃瓜 |沙雕 |娱乐 | 搞笑 | |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/chigua_a |
Topic
Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 80% 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 Aug 2026, 00:34 | 216,083 | -1,526 |
| 12 Aug 2026, 19:33 | 217,609 | +12,949 |
| 11 Aug 2026, 16:37 | 204,660 | +4,309 |
| 10 Aug 2026, 16:01 | 200,351 | -880 |
| 9 Aug 2026, 14:21 | 201,231 | -1,355 |
| 8 Aug 2026, 16:11 | 202,586 | -1,756 |
| 7 Aug 2026, 16:30 | 204,342 | -357 |
| 7 Aug 2026, 10:45 | 204,699 | first reading |
Engagement
102 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 19 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.892%
- avg views ÷ 216,083 subscribers
- Avg views / post
- 1,930
- 97 posts measured
- Reaction rate
- 0.032%
- reactions ÷ views · ER floor
- Posts in window
- 102
- of 102 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 21 of 97 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 102 (7 August 2026 – 13 August 2026) |
| Views total | 186,949 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 06:32 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
- ≈71,300
- Videos
- ≈102,000
- Links
- ≈65,300
Lifetime counters from Telegram’s own channel header, read 14 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.
- Video runtime
- 1h 02m
- Average length
- 48s
Measured directly from 78 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
17 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 64.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 64.7% | |
| 👍 | 4 | 23.5% | |
| 💩 | 1 | 5.88% | |
| 🤡 | 1 | 5.88% |
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 21 of the 102 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 17reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 7 August 2026 to 13 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
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台湾集美疯了 撒泼打滚的🌚 #吃瓜 #每日瓜讯
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#小红书 是一个魔幻的社交 🌚🌚 #吃瓜 #每日瓜讯
百万粉丝网红“雅典娜”(实名孔丽梅)失踪三年后,2026年8月网传其已遇害的消息引发热议。8月11日,孔丽梅的母亲袁女士公开辟谣,称女儿仍处于失踪状态,从未收到任何确认其遇害的消息。 母亲发声核心内容 否认遇害传闻:袁女士明确表示,网传女儿已遇害的消息不属实,截至目前她未收到任何关于女儿遇害的官方或非官方确认信息,孔丽梅依然处于失踪状态。 澄清案件关联:袁女士称,从未有人告知她女儿的失踪案与近期被引渡回国的犯罪嫌疑人刘某文有关,相关传言毫无根据。 诉说家属痛苦:作为家中独生女的母亲,袁女士透露女儿失踪的三年里,她一直生活在痛苦之中。此次网络谣言的传播,给本就备受煎熬的家属带来了严重的二次伤害。 呼吁停止造谣:袁女士恳请网友和相关平台停止传播未经证实的信息,避免不实言论进一步伤害家属并干扰警方的侦破工作。 事件背景与相关澄清 失踪经过:2023年3月,孔丽梅的短视频账号停更;同年6月,她被一名李姓女友以陪伴散心为由骗至菲律宾马…
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中文吃瓜中心沙雕日常 🍉 pinned a video
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Showing the 12 most recent of 102 posts we hold for @chigua_a. 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 — 812,999 of 1,340,412entries 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 3 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@N1gjpdd · 4,2174 postsN1118.COM- N1国际官方频道
@pg100 · 5,7534 posts2028122.COM- 2028体育官方频道
@pg115 · 11,1714 posts【2028126.com】赌王之王
@pgdzr · 7,9654 posts2028体育PG电子爆分大赏
@TY2028PG · 1,9884 posts🔥辉煌娱乐城-93.cc-超高返水1.6%起🔥官方频道
@hhylc8888 · 4,7842 posts🔥金贝娱乐场-jinbei.com-【官方招商】🔥
@jbzhaoshang · 5,2872 posts🔥西湖娱乐城-xihu.cc-【实力招商】🔥
@xihuzs · 5,2042 postsPG娱乐 92.cc 官方频道
@pgyx8_com · 4,9111 post(官方)球速体育频道
@qswj4 · 21,3341 post(官方)球速综合频道
@qswj88 · 25,5411 post(官方)182平台综合频道
@ty182_0 · 26,5961 post(官方)182平台体育频道
@ty182_4 · 20,9811 post182体育 招商合营
@TY182HY · 4,0711 post(官方)Y3国际
@y30777 · 24,6111 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.
@chigua2022 · 201,839#1
@bx666 · 467,524#2
@chigua_e · 231,106#3
@cgbg8 · 105,049#4
@chiguale8 · 15,092#5
@guagua · 75,599#6
@quanqiudashijian · 77,710#7
@dubai0 · 78,322#8
@svip40 · 95,034#9
@chiguahs · 110,754#10
@jpz_888 · 12,828#11
@GQSP9 · 121,979#12
@pyzcn · 217,330#13
@tghuarenba · 21,956#14
@newszg_official · 164,379#15
@usd1 · 252,062 (as read 12 August 2026)#16
@ay2028 · 87,278#17
@cggxhhh · 273,810#18
@chiguasucai · 12,245#19
@xpppp · 308,035#20
@chiguadog · 154,019#21
@kanxia · 487,657#22
@ZLWBG · 103,638#23
@taiwansucai223 · 11,995#24
@ygxw3 · 142,141#25
@pipixia · 12,530#26
@wgsb · 218,800 (as read 12 August 2026)#27
@lsd62 · 26,008#28
@GXduanzi1 · 124,233#29
@sucaihs · 76,010#30
@woshadiao · 115,261#31
@sucai · 52,192#32
@feixingzhe_cgzx · 175,382#33
@bx777 · 34,288#34
@sucai177 · 104,491#35
@aa144 · 35,051#36
@dnyggg · 41,974#37
@chigua186 · 19,822#38
@touxiang11 · 4,416#39
@jywag888 · 55,235#40
@tx581 · 308,671#41
@neihanduanzi1 · 224,426#42
@renrenchigua · 68,207#43
@sucai277 · 106,448#44
@FLLCG · 40,038#45
@sucai1 · 108,653#46
@jianpuzhaidashijian · 45,484#47
@tiyuquan · 101,752#48
@kduzb · 819,331#49
@bisimchimedia · 1,052,820#50
@khabar_furei · 1,518,931#51
@pumpcoinbets · 1,039,723#52
@ajibvalivaghaei · 581,097#53
@akhbare_moheem · 757,656#54
Read from Telegram’s recommendation API, most recently 12 August 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.
@chiguadog · 154,019
Telegram ranks this channel #6 of 48 here — alongside 47 others — read 12 August 2026
@feixingzhe_cgzx · 175,382
Telegram ranks this channel #7 of 63 here — alongside 62 others — read 12 August 2026
@GQSP9 · 121,979
Telegram ranks this channel #8 of 53 here — alongside 52 others — read 14 August 2026
@newszg_official · 164,379
Telegram ranks this channel #13 of 52 here — alongside 51 others — read 12 August 2026
@DNYTJL3 · 124,121
Telegram ranks this channel #35 of 46 here — alongside 45 others — read 14 August 2026
@UnderthelightofQuran · 112,409
Telegram ranks this channel #42 of 86 here — alongside 85 others — read 14 August 2026
This channel appears in 6 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 August 2026 — this entry's latest reading, not the date you are reading this.
“中文吃瓜中心沙雕日常 🍉” (@chigua_a), 216,083 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/chigua_a.
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.