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Channel

老猫福利榜【上海】

@shanghaifulibang

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

8,453subscribers

-233 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-1002930527997
TypeChannel
Username@shanghaifulibang
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/shanghaifulibang

Topic

Giveaways & airdrops — 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 43% 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

8,4539,7549,103.56 August 2026 — 8,686 subscribers7 August 2026 — 9,754 subscribers10 August 2026 — 9,624 subscribers14 August 2026 — 9,515 subscribers17 August 2026 — 9,387 subscribers20 August 2026 — 9,273 subscribers24 August 2026 — 9,136 subscribers27 August 2026 — 9,031 subscribers30 August 2026 — 8,876 subscribers2 September 2026 — 8,836 subscribers7 September 2026 — 8,762 subscribers11 September 2026 — 8,784 subscribers15 September 2026 — 8,453 subscribers6 August 202615 September 2026
13 measurements spanning 40 days, net -233. 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 8,258–9,949 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 09:558,453-331
11 Sept 2026, 18:588,784+22
7 Sept 2026, 05:418,762-74
2 Sept 2026, 10:248,836-40
30 Aug 2026, 17:488,876-155
27 Aug 2026, 13:389,031-105
24 Aug 2026, 02:599,136-137
20 Aug 2026, 15:339,273-114
17 Aug 2026, 16:159,387-128
14 Aug 2026, 01:489,515-109
10 Aug 2026, 20:089,624-130
7 Aug 2026, 17:359,754+1,068
6 Aug 2026, 20:178,686first reading

Engagement

56 posts held, back to 25 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.66%
avg views ÷ 8,453 subscribers
Avg views / post
310
9 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
9
of 56 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held56 (25 July 202628 August 2026)
Views total2,788
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 15:40 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.

Reaction mix

11 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 81.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
981.8%
👍19.09%
👏19.09%

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 15 of the 56 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 25 July 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, 09:00 UTC142 viewsread 28 August 2026
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💐💐💐开奖了💐💐💐 闵行七宝夹妮老师优惠抽奖活动 开奖了! 本期总参与人数: 166 1- oi~小鬼 获得:单次半价券 谨祝中奖用户大吉大利万事顺意

27 Aug 2026, 09:00 UTC268 viewsread 28 August 2026
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💐💐💐开奖了💐💐💐 浦东小妞老师优惠抽奖活动 开奖了! 本期总参与人数: 71 1- 西世公子 获得:单次半价券 谨祝中奖用户大吉大利万事顺意

27 Aug 2026, 08:13 UTC264 viewsread 28 August 2026
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🎰 浦东韩冰雨老师优惠抽奖活动 📮 抽奖条件: 🎫 加入-上海老猫修车闲聊(免费上榜) 🎫 加入-老猫福利榜【上海】 🎫 加入-唅冰雨的快乐小屋🛖 🎁 奖品内容: 单次半价券 × 1 💡 活动说明: 💡 活动说明: (1)中奖者7天内使用优惠卷,超时作废 (2)中奖者必须去使用优惠卷并提交老师报告(转赠需要联系老师同意) (3)中奖不去乱占用抽奖名额或是中奖去后不给老师写报告将被移除群聊 (4)开奖后请24小时内联系老师兑奖 @yuer501 (5)提交评价报告联系老猫:@laomaoguanjia2_bot (6)提交报告会获得相应积分 积分用处可在群聊查看 📅 开奖日期:(UTC+8) 2026年09月02日 17时00分00秒

26 Aug 2026, 12:50 UTC329 viewsread 28 August 2026
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🎰 闵行梦婷老师优惠抽奖活动 📮 抽奖条件: 🎫 加入-老猫福利榜【上海】 🎫 加入-上海老猫修车闲聊(免费上榜) 🎫 加入-梦婷的后花园 🎁 奖品内容: 单次半价券 × 1 💡 活动说明: 💡 活动说明: (1)中奖者7天内使用优惠卷,超时作废 (2)中奖者必须去使用优惠卷并提交老师报告(转赠需要联系老师同意) (3)中奖不去乱占用抽奖名额或是中奖去后不给老师写报告将被移除群聊 (4)开奖后请24小时内联系老师兑奖 @meng551 (5)提交评价报告联系老猫:@laomaoguanjia2_bot (6)提交报告会获得相应积分 积分用处可在群聊查看 📅 开奖日期:(UTC+8) 2026年08月31日 17时00分00秒

26 Aug 2026, 09:00 UTC320 viewsread 28 August 2026
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💐💐💐开奖了💐💐💐 浦东仙儿老师优惠抽奖活动 开奖了! 本期总参与人数: 49 1- Snxy Alllllen 获得:单次半价 谨祝中奖用户大吉大利万事顺意

25 Aug 2026, 09:00 UTC377 viewsread 28 August 2026
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💐💐💐开奖了💐💐💐 闵行小骚狗老师抽奖活动 开奖了! 本期总参与人数: 77 1- Regina Ramsey 获得:单次半价券 2- 龙爵 获得:单次半价券 谨祝中奖用户大吉大利万事顺意

25 Aug 2026, 09:00 UTC360 viewsread 28 August 2026
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💐💐💐开奖了💐💐💐 嘉定婷婷老师抽奖活动 开奖了! 本期总参与人数: 51 1- leven sone 获得:单次半价券 2- 风 欢欢 获得:单次半价券 谨祝中奖用户大吉大利万事顺意

25 Aug 2026, 09:00 UTC330 viewsread 28 August 2026
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💐💐💐开奖了💐💐💐 闵行茉茉老师优惠抽奖活动 开奖了! 本期总参与人数: 50 1- ya ng 获得:单次优惠券200 谨祝中奖用户大吉大利万事顺意

24 Aug 2026, 13:56 UTC398 viewsread 28 August 2026
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🎰 嘉定妍妍老师抽奖活动 📮 抽奖条件: 🎫 加入-老猫福利榜【上海】 🎫 加入-上海老猫修车闲聊(免费上榜) 🎫 加入-妍妍的童话城堡 🎁 奖品内容: 300通用券 × 2 💡 活动说明: 💡 活动说明: (1)中奖者7天内使用优惠卷,超时作废 (2)中奖者必须去使用优惠卷并提交老师报告(转赠需要联系老师同意) (3)中奖不去乱占用抽奖名额或是中奖去后不给老师写报告将被移除群聊 (4)开奖后请24小时内联系老师兑奖 @muamua03 (5)提交评价报告联系老猫:@laomaoguanjia2_bot (6)提交报告会获得相应积分 积分用处可在群聊查看 📅 开奖日期:(UTC+8) 2026年08月29日 17时00分00秒

22 Aug 2026, 11:57 UTC535 views0 reactionsread 28 August 2026
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🎰 闵行七宝夹妮老师优惠抽奖活动 📮 抽奖条件: 🎫 加入-上海老猫修车闲聊(免费上榜) 🎫 加入-老猫福利榜【上海】 🎫 加入-夹妮的雀巢 🎁 奖品内容: 单次半价券 × 1 💡 活动说明: 💡 活动说明: (1)中奖者7天内使用优惠卷,超时作废 (2)中奖者必须去使用优惠卷并提交老师报告(转赠需要联系老师同意) (3)中奖不去乱占用抽奖名额或是中奖去后不给老师写报告将被移除群聊 (4)开奖后请24小时内联系老师兑奖 @yangmimi668 (5)提交评价报告联系老猫:@laomaoguanjia2_bot (6)提交报告会获得相应积分 积分用处可在群聊查看 📅 开奖日期:(UTC+8) 2026年08月28日 17时00分00秒

22 Aug 2026, 09:00 UTC473 viewsread 28 August 2026
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💐💐💐开奖了💐💐💐 闵行沐沐老师优惠抽奖活动 开奖了! 本期总参与人数: 88 1- 姬 雨 获得:单次半价券 2- 天黑了,梦醒了 获得:单次半价券 谨祝中奖用户大吉大利万事顺意

22 Aug 2026, 08:41 UTC473 viewsread 28 August 2026
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🎰 浦东小妞老师优惠抽奖活动 📮 抽奖条件: 🎫 加入-老猫福利榜【上海】 🎫 加入-上海老猫修车闲聊(免费上榜) 🎫 加入-小妞的爱巢 🎁 奖品内容: 单次半价券 × 1 💡 活动说明: 💡 活动说明: (1)中奖者7天内使用优惠卷,超时作废 (2)中奖者必须去使用优惠卷并提交老师报告(转赠需要联系老师同意) (3)中奖不去乱占用抽奖名额或是中奖去后不给老师写报告将被移除群聊 (4)开奖后请24小时内联系老师兑奖 @yecao22 (5)提交评价报告联系老猫:@laomaoguanjia2_bot (6)提交报告会获得相应积分 积分用处可在群聊查看 📅 开奖日期:(UTC+8) 2026年08月27日 17时00分00秒

Showing the 12 most recent of 56 posts we hold for @shanghaifulibang. 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.

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

Named by 23 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“老猫福利榜【上海】” (@shanghaifulibang), 8,453 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/shanghaifulibang.

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.