下载本频道资源 - 教程📚 👉https://t.me/jp_ziyuan1/73 👉https://t.me/jp_ziyuan1/73 👉https://t.me/jp_ziyuan1/73
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Channel
@jp_ziyuan3
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
548subscribers
+3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002386890472 |
|---|---|
| Type | Channel |
| Username | @jp_ziyuan3 |
| Created | Between 1 September 2024 and 24 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 3 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 3 October 2026 |
| On Telegram | t.me/jp_ziyuan3 |
Adult — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Oct 2026, 10:39 | 548 | +7 |
| 17 Sept 2026, 20:39 | 541 | -2 |
| 9 Sept 2026, 23:41 | 543 | -4 |
| 31 Aug 2026, 13:43 | 547 | -1 |
| 24 Aug 2026, 04:18 | 548 | -3 |
| 15 Aug 2026, 17:18 | 551 | +6 |
| 8 Aug 2026, 03:46 | 545 | no change |
| 7 Aug 2026, 13:55 | 545 | first reading |
20 posts held, back to 24 October 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 24 October 2024. An engagement rate over an empty window would be a number about nothing.
8 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 87.5% | |
| 👍 | 1 | 12.5% |
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 20 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 24 October 2024 to 24 October 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
下载本频道资源 - 教程📚 👉https://t.me/jp_ziyuan1/73 👉https://t.me/jp_ziyuan1/73 👉https://t.me/jp_ziyuan1/73
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[影片名称]:TushyRaw.2024.08月合集 [影片大小]:22.1G [影片时长]:----- [影片格式]:MP4
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[HD/1.21G] [破解] FC2-PPV-1826674 電車チカン 把馒头逼辣妹从电车带到宾馆3P 名称:[電車チカン]郊外遠征トリプルチカンギャルJ○を取り囲んで車内でおっぱいまで晒す羞恥ハメ最後は顔射と中出し2連発 标签:-
❤2
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[HD/4.55G] [破解] FC2-PPV-2360340 電車チカン 短发的健康美少女(从逼看真的很健康!) 名称:《特典有》[電車***]驚異のギネス級36連続絶頂ショートカットの健康的美**がヨダレを垂らしながら失神寸前イキまくり 标签:-- 日期:2021/10/20 时长:01:06:35
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[HD/12.7G] [破解] FC2-PPV-3519114 佐佐波绫&無名な男限定復活 名称:無名な男限定復活!ついに最終章に突入する極秘映像は見逃し厳禁即終了 标签:--
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[HD/6.59G] [破解] FSDSS-865 ゴミ部屋のマザコン変態オヤジにシモの世話まで求められ授乳プレイで奉仕する家政婦アルバイト 茉城まみ 商品発売日:2024/09/26 収録時間:123分 出演者:茉城まみ 監督:AKIRA 系列:---- 制作:FALENO 发行商:FALENO star 类型:4K|ハイビジョン|お風呂|ドラマ|バイブ|電マ|バック|騎乗位|フェラ|キス接吻|単体作品 品番:1fsdss00865
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Showing the 12 most recent of 20 posts we hold for @jp_ziyuan3. 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.
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.
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 3 October 2026 — this entry's latest reading, not the date you are reading this.
“PIKPAK备用频道3” (@jp_ziyuan3), 548 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/jp_ziyuan3.
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.