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Telegram profile photo for 上海【喜茶】福利频道

Channel

上海【喜茶】福利频道

@xichafuli

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

9,041subscribers

+2,069 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002506794914
TypeChannel
Usernames@xichaflsh @xichafuli
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/xichafuli

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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

6,9729,0418,006.56 August 2026 — 6,972 subscribers6 August 2026 — 6,972 subscribers7 August 2026 — 6,977 subscribers7 August 2026 — 7,021 subscribers10 August 2026 — 7,120 subscribers10 August 2026 — 7,172 subscribers13 August 2026 — 7,234 subscribers14 August 2026 — 7,276 subscribers16 August 2026 — 7,398 subscribers17 August 2026 — 7,427 subscribers19 August 2026 — 7,548 subscribers20 August 2026 — 7,618 subscribers23 August 2026 — 7,755 subscribers24 August 2026 — 7,775 subscribers26 August 2026 — 7,880 subscribers27 August 2026 — 7,903 subscribers29 August 2026 — 7,979 subscribers30 August 2026 — 8,019 subscribers1 September 2026 — 8,133 subscribers2 September 2026 — 8,166 subscribers5 September 2026 — 8,319 subscribers6 September 2026 — 8,364 subscribers10 September 2026 — 8,623 subscribers11 September 2026 — 8,651 subscribers14 September 2026 — 8,776 subscribers15 September 2026 — 8,812 subscribers18 September 2026 — 9,041 subscribers6 August 202618 September 2026
27 measurements spanning 43 days, net +2,069. 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 6,662–9,351 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
18 Sept 2026, 22:419,041+229
15 Sept 2026, 03:018,812+36
14 Sept 2026, 11:588,776+125
11 Sept 2026, 09:598,651+28
10 Sept 2026, 15:588,623+259
6 Sept 2026, 16:188,364+45
5 Sept 2026, 18:588,319+153
2 Sept 2026, 15:298,166+33
1 Sept 2026, 16:028,133+114
30 Aug 2026, 05:388,019+40
29 Aug 2026, 06:027,979+76
27 Aug 2026, 02:047,903+23
26 Aug 2026, 08:557,880+105
24 Aug 2026, 01:247,775+20
23 Aug 2026, 13:077,755+137
20 Aug 2026, 19:457,618+70
19 Aug 2026, 20:137,548+121
17 Aug 2026, 11:357,427+29
16 Aug 2026, 18:167,398+122
14 Aug 2026, 04:157,276first reading

Engagement

116 posts held, back to 5 August 2026the 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
3.34%
avg views ÷ 9,041 subscribers
Avg views / post
302
31 posts measured
Reaction rate
0.168%
reactions ÷ views · ER floor
Posts in window
31
of 116 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 31 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 28 August 2026
Posts held116 (5 August 202628 August 2026)
Views total9,350
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 20:00 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

Video runtime
2m 20s
Average length
6s

Measured directly from 24 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

36 reactions across 22 posts, in 3 distinct kinds. The most used accounts for 94.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3494.4%
👍12.78%
👏12.78%

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 39 of the 116 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 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 116 most recent posts we hold, published 5 August 2026 to 28 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

28 Aug 2026, 16:17 UTC106 viewsread 28 August 2026
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福利汇总 #工兵 #半价 #白嫖 #红包 ————————————— 🎟 半价 / 白嫖 / 红包券 璐璐【静安/颜值/半价】| 5折券*2 截止8.30 ⭐️ 积分兑换区 小土豆【浦东 嫩妹】| 立减券100p、200pp 小u【浦东 嫩妹】| 立减券300 馨儿【闵行 御姐】| 立减券100p、200pp 薇薇【杨浦 颜值】| 立减券300 咖啡【浦东 嫩妹】| 立减券200 可可【普陀 嫩妹】| 立减券100p、200pp 台湾奶茶妹妹【静安 颜值】| 立减券200 截止8.30 曼曼【浦东 嫩妹】| 立减券200 小艾大王【徐汇 嫩妹】| 立减券200p、300pp 妍妍【嘉定 大胸】| 立减券200 小雪【浦东 嫩妹】| 立减券200 圆圆【闵行 嫩妹】| 立减券200p、400pp 晗晗【青浦 御姐】| 立减券300 可可【闵行 御姐】| 立减券300 —————————————— 🤖活动报名: @xichahe

28 Aug 2026, 15:58 UTC115 viewsread 28 August 2026
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🎁喜茶积分兑换 | 福利频道 👧#小土豆 #浦东 #万科翡翠公园 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 🎫 需要积分 - 10 ☎️联系方式: @xtd66699 📒活动说明: 福利价 1300p (原价 1400p) 福利价 1900pp (原价 2100pp) #积分兑换 #先到先得 #需写报告 👉 点此参与 >> 🙋‍♂️‍我要参与活动

28 Aug 2026, 15:24 UTC143 viewsread 28 August 2026
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🎁喜茶积分兑换 | 福利频道 👧#小u #浦东 #航头镇 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 🎫 需要积分 - 10 ☎️联系方式: @shxiaoukxkx 📒活动说明: 立减券300 (通用) #积分兑换 #先到先得 #需写报告 👉 点此参与 >> 🙋‍♂️‍我要参与活动

28 Aug 2026, 15:13 UTC149 views1 reactionsread 28 August 2026
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🎁喜茶积分兑换 | 福利频道 👧#馨儿 #闵行 #鲁建路 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 🎫 需要积分 - 10 ☎️联系方式: @xinerpj01 📒活动说明: 福利价 700p (原价 800p) 福利价 1200pp (原价 1400pp) #积分兑换 #先到先得 #需写报告 👉 点此参与 >> 🙋‍♂️‍我要参与活动

1

28 Aug 2026, 15:10 UTC143 views0 reactionsread 28 August 2026
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🎁喜茶积分兑换 | 福利频道 👧#薇薇 #杨浦 #政立路 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 🎫 需要积分 - 10 ☎️联系方式: @wwzyp12 📒活动说明: 立减券300 (通用) #积分兑换 #先到先得 #需写报告 👉 点此参与 >> 🙋‍♂️‍我要参与活动

28 Aug 2026, 13:47 UTC199 viewsread 28 August 2026

✨ 命运揭晓时刻 ✨ 🆔 编号: 202608271787825092 💰本期积分竞拍活动: #积分竞拍 #价高者得 #需写报告 🎁 奖品内容: 1、5折券*1 (通用) ⏰截止时间: 2026-08-28 20:00:00 🥷当前获胜者: hq ⭐️最高报价: 700 积分 ⏰报价时间: 2026-08-28 19:09:05 📋 活动说明: 1、获胜者私聊 @maomao3320 兑奖 2、7天内兑奖,过期无效 🎁活动链接: https://t.me/xichafuli/1988

28 Aug 2026, 11:26 UTC271 viewsread 28 August 2026
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🎁喜茶积分兑换 | 福利频道 👧#咖啡 #浦东 #海翔大厦 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 🎫 需要积分 - 20 ☎️联系方式: @kfainzdlm08 📒活动说明: 立减券200 (通用) #积分兑换 #先到先得 #需写报告 👉 点此参与 >> 🙋‍♂️‍我要参与活动

28 Aug 2026, 10:50 UTC282 viewsread 28 August 2026
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🎁抽奖获取喜茶 - 半价券 | 福利频道 👧#璐璐 #静安 #昌平路附近 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 🎫 加入- 璐璐后花园 ☎️联系方式: @sichuanlulu 📒活动说明: 🎁 奖品内容: 1、5折券*2 (通用) 2、现金红包18*1 兑奖联系 @sichuanlulu 领取。 ⏰开奖日期: 2026-08-30 22:00:00 👉 点此参与 >> 🙋‍♂️‍我要参与活动

28 Aug 2026, 08:42 UTC311 views1 reactionsread 28 August 2026
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🎁喜茶积分兑换 | 福利频道 👧#可可 #普陀 #梅川路 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 🎫 需要积分 - 10 ☎️联系方式: @putuo08kk01 📒活动说明: 福利价 600p (原价 700p) 福利价 1200pp (原价 1400pp) #积分兑换 #先到先得 #需写报告 👉 点此参与 >> 🙋‍♂️‍我要参与活动

1

27 Aug 2026, 18:08 UTC449 views0 reactionsread 28 August 2026
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福利汇总 #工兵 #半价 #白嫖 #红包 ————————————— 🎟 工兵券 泪泪【松江 嫩妹】| 6折券*2 🥷️ 积分竞拍区 夕颜【闵行 嫩妹】| 5折券*1 ⭐️ 积分兑换区 台湾奶茶妹妹【静安 颜值】| 立减券200 截止8.30 曼曼【浦东 嫩妹】| 立减券200 小艾大王【徐汇 嫩妹】| 立减券200p、300pp 乐乐【浦东 嫩妹】| 立减券200 童童【浦东 嫩妹】| 立减券200 妍妍【嘉定 大胸】| 立减券200 小雪【浦东 嫩妹】| 立减券200 圆圆【闵行 嫩妹】| 立减券200p、400pp 小汤圆【普陀 嫩妹】| 立减券100p、200pp 截止8.26 小u【浦东 嫩妹】| 立减券300 娜娜【普陀 大胸】| 5折券pp 截止8.28 咖啡【浦东 嫩妹】| 立减券200 晗晗【青浦 御姐】| 立减券300 薇薇【杨浦 颜值】| 立减券300 小乖【浦东 嫩妹】| 立减券200 可可【闵行 御

27 Aug 2026, 14:42 UTC463 views1 reactionsread 28 August 2026
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🎁报名获取喜茶 - 工兵券 | 福利频道 👧#泪泪 #松江 #万达广场 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 ☎️联系方式: @leileidexiaowo 📒活动说明: 6折券*2 (限p) #先到先得 #报名参与 #需写报告 👉 点此参与 >> 🙋‍♂️‍我要参与活动

1

27 Aug 2026, 10:05 UTC495 viewsread 28 August 2026
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🎁喜茶积分竞拍 | 福利频道 👧#夕颜 #闵行 #爱琴海购物中心 📮 参与条件: 🎫 加入- 上海【喜茶】茶友群 🎫 加入- 上海【喜茶】吹水群 🎫 加入- 上海【喜茶】老师总榜 🎫 加入- 上海【喜茶】福利频道 🎫 加入- 上海【喜茶】老师开课群 🎫 加入- 喜茶备用群 🎫 加入- 喜茶备用群2 ☎️联系方式: @maomao3320 📒活动说明: #积分竞拍 #价高者得 #需写报告 🎁 奖品内容: 1、5折券*1 (通用) ⏰截止时间: 2026-08-28 20:00:00 👉 点此参与 >> 🙋‍♂️‍我要参与活动

Showing the 12 most recent of 116 posts we hold for @xichafuli. 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 48 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“上海【喜茶】福利频道” (@xichafuli), 9,041 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xichafuli.

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.