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Channel

🍉频道

@XiGuaChannel

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

7,450subscribers

+519 since we began measuring on 3 November 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003949999629
TypeChannel
Username@XiGuaChannel
Description群 t.me/XiGuaGroup 注:本频道与「冰镇西瓜」无任何关联
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 November 2026
Last confirmed live10 November 2026
Measurements held4
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/XiGuaChannel

Growth

6,9317,4507,190.53 November 2026 — 6,931 subscribers3 November 2026 — 6,948 subscribers6 November 2026 — 7,029 subscribers10 November 2026 — 7,450 subscribers3 November 202610 November 2026
4 measurements spanning 7 days, net +519. 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 6,853–7,528 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Nov 2026, 02:567,450+421
6 Nov 2026, 12:467,029+81
3 Nov 2026, 19:296,948+17
3 Nov 2026, 12:226,931first reading

Engagement

22 posts held, back to 7 September 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 18 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
34.1%
avg views ÷ 7,450 subscribers
Avg views / post
2,540
14 posts measured
Reaction rate
0.235%
reactions ÷ views · ER floor
Posts in window
14
of 22 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 13 of 14 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 10 November 2026
Posts held22 (7 September 2026 – 10 November 2026)
Views total35,599
Reactions total79
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 06:23 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
4
Videos
9
Links
7

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
13m 33s
Average length
1m 56s

Measured directly from 7 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

154 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 70.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍10970.8%
❤3824.7%
👎42.60%
🍾21.30%
🤩10.649%

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 22 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 154 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 7 September 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 6 of 14 posts held from the last 30 days (42.9%) 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).

10 Nov 2026, 13:43 UTC999 views4 reactionsread 12 November 2026
Video

起播、追新不断优化,越来越快了 ps:追新速度、直连情况

👍3❤1

10 Nov 2026, 08:09 UTC≈1,430 views5 reactionsread 12 November 2026

👉公益库说明:至9.4日库重新合并后,公益库临时调整为全部开放,原定于10.7恢复,但一直开放到了11.9才恢复,虽公益库有调整,但多版本追新、直连、4K高码,仍保持不变。此外,观保有些许变动,30天内播放记录➡️30天内播放1分钟。 期间,也有不少用户希望付费购种子、公益号,但至始至终,对于“种子、公益号”从未有过付费先例。 👉同时,为了避免不必要的误会/争议,将对“观影白”进行改名为“PLUS”,只改名,无任何其他变动。

👍3❤2

9 Nov 2026, 10:09 UTC≈2,200 views10 reactionsread 12 November 2026
Photo

⭐️大西瓜快讯!长话短说: 👉出新选择“PLUS”号⚡️当前早鸟价 1、注册后,30天内有1分钟观看时长,即可长期保号!无号新注册/公益号升级均可 👉回馈所有新老用户 1、对所有新老SVIP用户赠送1一个月时长,过期的用户也赠送1个月(将在12.1日进行统计后发放) 2、对所有新老SVIP白名单用户赠送“PLUS”兑换码1枚,可自行兑换/转售。(将在12.1日进行统计后发放) 3、对所有公益号赠送666种子(11.9已发) 注册地址:https://fk.xghub.de

👍7❤2🤩1

7 Nov 2026, 09:48 UTC≈1,960 views8 reactionsread 12 November 2026
Video

11.7更新:又重点优化了起播速度 ⚡️直连效果:起播速度upup!

👍7❤1

4 Nov 2026, 15:54 UTC≈2,360 views9 reactionsread 12 November 2026

由于异常停机,现已恢复 故对所有: 白名单用户发放付费注册月卡1张,自由处理 所有未到期赞助用户延长7天有效期 公益用户种子+50 (月卡已通过私信发放,可自行前往https://www.xghub.de 查看)

❤7👍2

31 Oct 2026, 12:34 UTC≈3,420 views8 reactionsread 12 November 2026
Photo

🍉本月入库数据如图: (另:11月初将进行扩容,预计集数量将达到50-60W+) ⚡️4K高码+直连+多版本追新 ⚡️热剧追新速度在5-30分钟 ⚡️三网多线路无惧晚高峰 🔔又新增一条优化线路,赞助用户请前往 👉 https://www.xghub.de 查看 🚩新用户注册:https://fk.xghub.de

👍8

29 Oct 2026, 10:08 UTC≈2,890 views6 reactionsread 12 November 2026
Video

近期观察到原“优化线路”波动较为频繁 ⚡️故已进行更换,稳定性、速度均有大幅提升 👉此为优化线路直连效果 👉赞助用户没添加此线路的记得添加下 新用户注册:https://fk.xghub.de

👍6

26 Oct 2026, 14:40 UTC≈2,540 views4 reactionsread 12 November 2026

🚨违规账号封禁公示🚨 TGID:8291787644 账户名:todesk 处理结果:删除账号 👉原因:经核查,该账号存在高度规律的自动化批量行为,连续多日高频率的异常请求,明显偏离正常用户行为。 👊请勿使用批量脚本、滥用接口,发现类似行为,将按违规处理。

👍4

24 Oct 2026, 15:28 UTC≈2,400 views4 reactionsread 12 November 2026

已全量精简标题显示,可前往播放器自行查看 若遇无法播放👉请私信本频道

👍4

24 Oct 2026, 07:46 UTC≈2,760 views12 reactionsread 12 November 2026
Photo

⚡️直连+高码+多版本追新

👍9❤3

24 Oct 2026, 07:27 UTC≈1,970 viewsread 12 November 2026

又优化了一版起播,升级下,预计临停3分钟😋

Showing the 12 most recent of 22 posts we hold for @XiGuaChannel. 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.

Posts edited after publishing

@XiGuaChannel edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
11 November 2026
Most recent edit
11 November 2026

Posts recorded as deleted after publishing

We recorded 5 posts on @XiGuaChannel 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.

First seen missing
5 November 2026
Most recent seen missing
11 November 2026
Median time before seen missing
19 days
Seen missing in the last 30 days
5

Mentions

Named by 4 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“🍉频道” (@XiGuaChannel), 7,450 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/XiGuaChannel.

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.