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Channel

莆田鞋衣服LV包包高仿

@putianxie56

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

9,871subscribers

+1,607 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001619350651
TypeChannel
Username@putianxie56
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/putianxie56

Growth

7,55310,2858,9197 August 2026 — 8,264 subscribers7 August 2026 — 8,250 subscribers10 August 2026 — 8,213 subscribers13 August 2026 — 8,917 subscribers16 August 2026 — 8,678 subscribers19 August 2026 — 8,438 subscribers22 August 2026 — 7,553 subscribers25 August 2026 — 9,526 subscribers28 August 2026 — 9,468 subscribers31 August 2026 — 10,285 subscribers1 September 2026 — 10,259 subscribers2 September 2026 — 10,247 subscribers4 September 2026 — 10,229 subscribers6 September 2026 — 9,871 subscribers9,8717 August 20266 September 2026
14 measurements spanning 31 days, net +1,607. 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 7,143–10,695 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Sept 2026, 14:199,871-358
4 Sept 2026, 03:1610,229-18
2 Sept 2026, 14:3910,247-12
1 Sept 2026, 13:3210,259-26
31 Aug 2026, 14:3610,285+817
28 Aug 2026, 09:039,468-58
25 Aug 2026, 10:389,526+1,973
22 Aug 2026, 10:567,553-885
19 Aug 2026, 10:228,438-240
16 Aug 2026, 17:468,678-239
13 Aug 2026, 13:188,917+704
10 Aug 2026, 11:468,213-37
7 Aug 2026, 20:448,250-14
7 Aug 2026, 01:018,264first reading

Engagement

128 posts held, back to 24 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 25 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.536%
avg views ÷ 9,871 subscribers
Avg views / post
52.9
91 posts measured
Reaction rate
0.581%
reactions ÷ views · ER floor
Posts in window
91
of 128 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 1 of 91 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 held128 (24 July 202628 August 2026)
Views total4,817
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 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

Video runtime
27m 08s
Average length
16s

Measured directly from 99 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

3 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 3 of the 128 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 128 most recent posts we hold, published 24 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, 13:58 UTC13 viewsread 29 August 2026
Photo

✅ 进群必看系列 联系方式 更多新款实拍图片视频加下方微信朋友圈更精彩 😄1号店: wwes156 😄2号店:wwes158(顶级包包手表皮带专卖) 😄 TG:@ljl568 😎本群组已稳定更新六年多,放心下单❗️链接可查看第一条 https://t.me/putianxie56/3 😎 顶级高仿复刻 大牌 奢侈品 fake 鞋子 衣服 包包 饰品 手表全品类输出 ❤️支持到付 所有商品可退换 无忧购物 ❤️

28 Aug 2026, 12:30 UTC22 viewsread 29 August 2026
Video

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28 Aug 2026, 12:20 UTC18 viewsread 29 August 2026
Video

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28 Aug 2026, 12:10 UTC17 viewsread 29 August 2026
Photo

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28 Aug 2026, 12:10 UTC20 viewsread 29 August 2026
Video

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28 Aug 2026, 12:10 UTC16 viewsread 29 August 2026
Video

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28 Aug 2026, 12:00 UTC16 viewsread 29 August 2026
Video

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27 Aug 2026, 12:30 UTC40 viewsread 29 August 2026
Video

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27 Aug 2026, 12:20 UTC39 viewsread 29 August 2026
Video

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27 Aug 2026, 12:10 UTC34 viewsread 29 August 2026
Video

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27 Aug 2026, 12:00 UTC27 viewsread 29 August 2026
Video

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Showing the 12 most recent of 128 posts we hold for @putianxie56. 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 2 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.

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

“莆田鞋衣服LV包包高仿” (@putianxie56), 9,871 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/putianxie56.

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.