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Channel

小念PY接口技术公益分享社

@xiaoniangongyi

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

6,993subscribers

+6,404 since we began measuring on 12 August 2026

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

Register entry

Telegram ID-1003921549504
TypeChannel
Username@xiaoniangongyi
CreatedBetween 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live26 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 26 August 2026
On Telegramt.me/xiaoniangongyi

Growth

5896,9933,79112 August 2026 — 589 subscribers12 August 2026 — 592 subscribers20 August 2026 — 6,872 subscribers23 August 2026 — 6,922 subscribers26 August 2026 — 6,993 subscribers12 August 202626 August 2026
5 measurements spanning 14 days, net +6,404. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Aug 2026, 11:146,993+71
23 Aug 2026, 16:266,922+50
20 Aug 2026, 02:066,872+6,280
12 Aug 2026, 18:27592+3
12 Aug 2026, 16:01589first reading

Engagement

39 posts held, back to 11 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.08%
avg views ÷ 6,993 subscribers
Avg views / post
285
37 posts measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
39
of 39 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 23 of 37 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 20 August 2026
Posts held39 (11 August 202620 August 2026)
Views total10,555
Reactions total129
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 04:13 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

129 reactions across 22 posts, in 16 distinct kinds. The most used accounts for 42.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5542.6%
3325.6%
😱75.43%
🤣75.43%
💩64.65%
🎉53.88%
custom 605521488011644697732.33%
🤮32.33%
custom 507155693283836035721.55%
💋21.55%
custom 507111383394733396710.775%
custom 507120416999447038310.775%
custom 507133368902824864410.775%
custom 605750211341032415810.775%
🏆10.775%
😨10.775%

Custom emoji. 6 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 23 of the 39 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 129reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 39 most recent posts we hold, published 11 August 2026 to 20 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

20 Aug 2026, 04:03 UTC31 views1 reactionsread 20 August 2026

https://t.me/fanhuashujujiaoliu 此频道无限送头中

👍1

19 Aug 2026, 18:09 UTC146 views2 reactionsread 20 August 2026
Forwarded from @ilovexiaonian

收几个徒弟 @xiaonianTvT

👍2

19 Aug 2026, 17:53 UTC195 views1 reactionsread 20 August 2026

https://wanmin.eguhao.com/ 垃圾二要素 核验一次 限制5秒

👍1

19 Aug 2026, 17:01 UTC217 viewsread 20 August 2026

想增强实力学习技术并且对QQ直举有意向的账号有太阳的联系 @ranandshenchu

19 Aug 2026, 15:31 UTC261 viewsread 20 August 2026
Photo

江苏省徐州市户籍地址 支付宝-徐州阳光招生-绑定学生-输入二要素后点击去报名-学生信息-去完善-即可查看户籍地址 表面上是学生报名 实则只要是徐州人都可以 不限年龄 不限职业 毕业学校随便输 测试 叶正茂 320381201311200318 段重阳 32038119991017633X

19 Aug 2026, 15:08 UTC272 viewsread 20 August 2026

软件--金苗宝可查户未成年父母模糊政务户籍地 用自己的登录即可

19 Aug 2026, 13:17 UTC321 views5 reactionsread 20 August 2026

“重庆公安不公执法”“重庆女儿国?” 重庆公安的不公执法已经引起众多民众的不满,连退伍军人和现役军人都对其感到不满,这个社会本来就是秉承着人人平等,为何重庆公安时刻袒护女生?这类事件数不胜数具体不一一列举,本编只希望公平公正不希望有任何袒护,如果偏袒就是你们认识的“为人民服务”那我无言以对了😁 此网址可观看完整事件,和以往的任何烂案😁 https://fuck.china-police.com/

🎉5

19 Aug 2026, 07:10 UTC372 views3 reactionsread 20 August 2026
File

河北医保.py 源自----归零 投稿联系新增管理 @ranandshenchu @PFCOMMONNB @mashuTYC 可以人工投稿审核 优势如下: 1.审核通过概率高 2.回复速度快 机器人投稿: @xiaoniangongyibot 如果出现管理恶意卡投稿或者说辱骂可以向 @xiaonianTvT @xiaocha002 举报

3

19 Aug 2026, 07:06 UTC369 views1 reactionsread 20 August 2026

接口 http://ylbzj.hebei.gov.cn/api/hsa-pss-pw/web/pw/forward/userAccount/getUserStatus 提交参数{"acct":"手机号","findType":"0"} 河北省查脱敏二要素 返回的应该是模糊姓名和模糊身份证

1

19 Aug 2026, 07:06 UTC364 viewsread 20 August 2026
File

上海脱敏.py 请输入身份证号: 31010419751129481X 请输入姓名: 李明 [*] 正在下载验证码图片... 请输入验证码: 4U7A [*] 正在查询... [+] 查询成功!绑定手机号(脱敏): 188****3126

19 Aug 2026, 06:10 UTC376 views11 reactionsread 20 August 2026

如果你想要当文全源头,你只需要把各省份微健康全部挖透😁

👍101

Showing the 12 most recent of 39 posts we hold for @xiaoniangongyi. 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.

Citation-graph rank

Citation-graph rank — 66,167 of 1,620,105entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 3 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.

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

“小念PY接口技术公益分享社” (@xiaoniangongyi), 6,993 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/xiaoniangongyi.

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.