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Channel

py资源分享

@VIPD886

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

10,156subscribers

-658 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002158300692
TypeChannel
Username@VIPD886
Created3 September 2024measured — dated from the channel’s first post
First recorded8 August 2026
Last confirmed live10 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/VIPD886

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 90% 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

10,15610,81410,4858 August 2026 — 10,814 subscribers8 August 2026 — 10,793 subscribers9 August 2026 — 10,768 subscribers10 August 2026 — 10,740 subscribers11 August 2026 — 10,702 subscribers12 August 2026 — 10,671 subscribers14 August 2026 — 10,656 subscribers15 August 2026 — 10,622 subscribers17 August 2026 — 10,585 subscribers18 August 2026 — 10,556 subscribers19 August 2026 — 10,529 subscribers20 August 2026 — 10,523 subscribers21 August 2026 — 10,501 subscribers23 August 2026 — 10,467 subscribers24 August 2026 — 10,436 subscribers25 August 2026 — 10,411 subscribers26 August 2026 — 10,382 subscribers27 August 2026 — 10,378 subscribers28 August 2026 — 10,354 subscribers29 August 2026 — 10,332 subscribers30 August 2026 — 10,319 subscribers1 September 2026 — 10,295 subscribers1 September 2026 — 10,271 subscribers2 September 2026 — 10,250 subscribers4 September 2026 — 10,238 subscribers7 September 2026 — 10,197 subscribers10 September 2026 — 10,156 subscribers8 August 202610 September 2026
27 measurements spanning 33 days, net -658. 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 10,057–10,913 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
10 Sept 2026, 06:3910,156-41
7 Sept 2026, 02:2110,197-41
4 Sept 2026, 09:0010,238-12
2 Sept 2026, 19:5310,250-21
1 Sept 2026, 21:2910,271-24
1 Sept 2026, 00:5710,295-24
30 Aug 2026, 20:5510,319-13
29 Aug 2026, 17:3510,332-22
28 Aug 2026, 16:3210,354-24
27 Aug 2026, 16:3310,378-4
26 Aug 2026, 19:0810,382-29
25 Aug 2026, 21:0410,411-25
24 Aug 2026, 22:3710,436-31
23 Aug 2026, 09:2610,467-34
21 Aug 2026, 22:0710,501-22
20 Aug 2026, 14:5810,523-6
19 Aug 2026, 15:5610,529-27
18 Aug 2026, 13:4410,556-29
17 Aug 2026, 11:1410,585-37
15 Aug 2026, 19:1310,622first reading

Engagement

10 posts held, back to 3 September 2024the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 38 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.73%
avg views ÷ 10,156 subscribers
Avg views / post
277
5 posts measured
Reaction rate
2.09%
reactions ÷ views · ER floor
Posts in window
5
of 10 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 23 August 2026
Posts held10 (3 September 202423 August 2026)
Views total1,386
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 15:14 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
1m 00s
Average length
30s

Measured directly from 2 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

87 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 43.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3843.7%
3337.9%
🎉55.75%
🙏55.75%
🤩55.75%
💅11.15%

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 9 of the 10 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 87 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 3 September 2024 to 23 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

23 Aug 2026, 02:07 UTC215 views5 reactionsread 29 August 2026

免费出大头照机器人 https://t.me/xxjdzbot?start=ref_7163551474

👍41

Signed look

20 Aug 2026, 16:33 UTC329 views7 reactionsread 29 August 2026

常见维护权利平台 1.网信办举报中心 点击进入 2.互联网举报平台 点击进入 3.腾讯卫士小程序 点击进入 4.国家反诈app 点击进入 5.互联网投诉平台 点击进入 6.12315举报平台 点击进入 7.中国互联网协会 点击进入 8.12321举报中心 点击进入 9.网络安全中心 点击进入 10.犯罪举报网站 点击进入 11.114举报中心 点击进入 12.微信侵权举报 点击进入 端外邮箱打号解封集合 快手邮箱: [email protected] QQ邮箱: [email protected]

👍7

20 Aug 2026, 16:25 UTC300 views9 reactionsread 29 August 2026

支机教程 一.出名字 支付宝搜索手机号,点击去转账,然后核验姓名,可以看到名字最后一个字。 2.手机号如果是电信,打开微信,点击我,点击服务,点击话费充值,然后输入手机号,可以看名字第一个字,返回支付宝转0.01核验姓氏申请电子回单。 3.如果是移动或者联通,就去浏览器搜索 vivo云服务,然后点击忘记密码,然后申诉,然后填写账号,然后有概率可以看名字前二个字,同理返回支付宝转账0.01申请电子回单看实名。 4.钉钉搜手机号 添加好友 返回通讯录 我的好友 新的好友 加入黑名单 打开设置 好友权限 点黑名单出全名 二.出机主 1.用名字和地区去猎魔 下载哈啰和美团 打开哈啰 登录遇到问题找回账号 曾用或现用手机号查 输入手机号 查询关联账号 点进去会有身份证后四位 打开美团 遇到问题 手机号收不到验证码无法登陆 输入手机号 出模糊名跟身份证前一后一 看看哪个对的上就是哪个 2.下载得物 打开得物 遇到问题 找回账号

7👍2

Signed look

3 Aug 2026, 09:44 UTC874 views9 reactionsread 29 August 2026
Video

谁又会懂我的来时路

7👍2

Signed

3 Aug 2026, 02:17 UTC910 views29 reactionsread 29 August 2026

看点点表情包看有多少个支持

👍16🤩54🎉4

Showing the 10 most recent of 10 posts we hold for @VIPD886. 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

@VIPD886 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
9 August 2026
Most recent edit
9 August 2026

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 1 registered channel — 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.

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

“py资源分享” (@VIPD886), 10,156 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/VIPD886.

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.