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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 |
|---|---|
| Type | Channel |
| Username | @shanghaifulibang |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 09:55 | 8,453 | -331 |
| 11 Sept 2026, 18:58 | 8,784 | +22 |
| 7 Sept 2026, 05:41 | 8,762 | -74 |
| 2 Sept 2026, 10:24 | 8,836 | -40 |
| 30 Aug 2026, 17:48 | 8,876 | -155 |
| 27 Aug 2026, 13:38 | 9,031 | -105 |
| 24 Aug 2026, 02:59 | 9,136 | -137 |
| 20 Aug 2026, 15:33 | 9,273 | -114 |
| 17 Aug 2026, 16:15 | 9,387 | -128 |
| 14 Aug 2026, 01:48 | 9,515 | -109 |
| 10 Aug 2026, 20:08 | 9,624 | -130 |
| 7 Aug 2026, 17:35 | 9,754 | +1,068 |
| 6 Aug 2026, 20:17 | 8,686 | first reading |
Engagement
56 posts held, back to 25 July 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 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.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 56 (25 July 2026 – 28 August 2026) |
| Views total | 2,788 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 81.8% | |
| 👍 | 1 | 9.09% | |
| 👏 | 1 | 9.09% |
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
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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.
Named by
Channels on the register whose posts name this channel's handle.
@shanghailaomaoyouxuan · 44,43722 postsTEST NETX
@moliehome · 412 posts茶冻冻的百宝屋
@chaddOOl · 1761 post梦莹的宝藏基地
@GxGxggsc · 3571 post涵涵的秘密花园🌹
@hanhan9091 · 851 post泡泡频道
@hppdin · 9021 post雯雯的私生活
@hxfrsvv · 711 post夹怡蟠桃园后宫
@jianiquechao · 1,8051 post极品小白虎KK老师的小屋
@LuckyKK668 · 1561 post上海麻花妹妹
@mahuamm987 · 9951 post梦婷的后花园
@meng55512 · 961 post闵行嫩妹纯儿的花园
@mhcr2008 · 5101 post苗苗朋友圈❤️❤️❤️
@miaomiaototo1314 · 3741 post娜娜娜娜娜娜
@NnNNaaaa0Q · 1951 post浦东💄小胖妹仙儿💄
@pdxe8 · 1131 post倩倩的花园
@qianqian_3333 · 7181 post米粒的后花园🤔
@qixi77710 · 581 post小骚狗的尿爱往事
@saogou1388 · 2981 post星星家园
@shxingxingzhij · 2541 post天然白虎欧阳巧巧新人首次下海
@tdd789 · 6261 post新人浦东豪华工作室
@xh97562 · 4981 post小妞的爱巢
@Xiaoniu520520 · 1,5191 post茜茜的后花园
@xixi1910gt · 371 post
Names
Channels on the register whose handles appear in this channel's posts.
@shanghailaomaoxianliao · 23,59527 posts上海老猫甄选总榜(免费上榜)
@shanghailaomaoyouxuan · 44,43714 posts妍妍的童话城堡
@meier5211314 · 1,9632 posts韩冰雨的快乐小屋🛖
@tiantian990909 · 3412 posts涵涵的秘密花园🌹
@hanhan9091 · 851 post嬛嬛的后宫~
@huanhuan_123456 · 2,2911 post雯雯的私生活
@hxfrsvv · 711 post夹怡蟠桃园后宫
@jianiquechao · 1,8051 post梦婷的后花园
@meng55512 · 961 post闵行嫩妹纯儿的花园
@mhcr2008 · 5101 post苗苗朋友圈❤️❤️❤️
@miaomiaototo1314 · 3741 postTEST NETX
@moliehome · 411 post沐沐的新空间
@mumush2 · 1391 post浦东💄小胖妹仙儿💄
@pdxe8 · 1131 post倩倩的花园
@qianqian_3333 · 7181 post米粒的后花园🤔
@qixi77710 · 581 post小骚狗的尿爱往事
@saogou1388 · 2981 post嘉定江桥 |七月的童话城堡
@syi008 · 1,6571 post天然白虎欧阳巧巧新人首次下海
@tdd789 · 6261 post婷婷的作业
@tingtingxn · 1,0791 post新人浦东豪华工作室
@xh97562 · 4981 post小妞的爱巢
@Xiaoniu520520 · 1,5191 post茜茜的后花园
@xixi1910gt · 371 post小雪的后花园💖
@xx2135xx · 1311 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@shanghaifulibang named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 3 posts, 13 August 2026 – 22 August 2026 · confirmed gone 12 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.