宫本武藏🌀【语音包】全收录 pinned a photo

Channel
宫本武藏🌀【语音包】全收录
@yuyingbao689
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
22subscribers
+0 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002041874065 |
|---|---|
| Type | Channel |
| Username | @yuyingbao689 |
| Created | Between 1 November 2023 and 5 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/yuyingbao689 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 16:56 | 22 | no change |
| 12 Aug 2026, 03:46 | 22 | first reading |
Engagement
19 posts held, back to 5 May 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 pageof 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 19 posts for this entry, the most recent from 5 May 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 100.0% |
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 1 of the 19 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 5 May 2024 to 5 May 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.
Recent posts
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赞助商: 18万人搜索群 十万搜索群1 十万搜索群2 十万搜索群3 短信推广十万人群 灰产交流十万人群 狗推十万人群 支付十万人群 【闪亮银】手淫私人教练的快乐训练课程~maria篇_十二日寄手
赞助商: 18万人搜索群 十万搜索群1 十万搜索群2 十万搜索群3 短信推广十万人群 灰产交流十万人群 狗推十万人群 支付十万人群 【闪亮银】手淫私人教练的快乐训练课程~vivien篇_柔
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赞助商: 18万人搜索群 十万搜索群1 十万搜索群2 十万搜索群3 短信推广十万人群 灰产交流十万人群 狗推十万人群 支付十万人群 02 正課開
Showing the 12 most recent of 19 posts we hold for @yuyingbao689. 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 — 611,295 of 1,480,975entries 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.
Mentions
Named by 10 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.
@caipiao658 · 642 postsPG/PP/电子赌神之神🔱
@PGDZ986 · 6952 posts骗子曝光
@baoguanggif · 5931 post吃瓜中心 内涵段子| 全网资源
@Chigua8886 · 3751 postTG电报导航群@daohang
@daohang689 · 1391 post海角麻豆💋乱伦通奸超顶
@Haijiao999 · 1771 post素材ღ【全资源】🪸
@Sucai000 · 1,6141 post素材(精选合集)🌸
@SucaiJingxuan · 9851 post🌈 飞机 会员表情包
@tiezhibao66 · 431 post头像🌸 ᐃ优质头像🌸
@Touxiang520 · 1,3781 post
Names
Channels on the register whose handles appear in this channel's posts.
@goutuishijiuwan1 · 215 postsOPTE.COOL | 蛇精-互撸娃射精-露出篇
@goutuishijiuwan2 · 215 posts☁️开云体育赛事推单🏆开云体育福利中心
@KYTDFL88 · 1232 posts六合彩|六合内幕|🅾️精准资料推送
@caipiao658 · 641 post内涵段子🍉吃瓜中心
@Chigua5201 · 1661 post海角麻豆💋乱伦通奸超顶
@Haijiao999 · 1771 postPG/PP/电子赌神之神🔱
@PGDZ986 · 6951 post素材精选库🌷
@Sucai586 · 8921 post🎀开云体育👉🏻可甜可咸奶酪🧀八台官方招商频道❤️
@TGKY1888 · 1231 post🌈贴纸包 @Tiezhibao520
@Tiezhibao520 · 3781 post🌈 飞机 会员表情包
@tiezhibao66 · 431 post优质头像馆🌸
@Touxiang658 · 2,0311 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
- 7
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 7
- vacant every time we have ever looked
@yuyingbao689 named 7 handles 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 15 posts, 13 August 2026 – 13 August 2026
named in 15 posts, 13 August 2026 – 13 August 2026
named in 1 post, 13 August 2026 – 13 August 2026
named in 1 post, 13 August 2026 – 13 August 2026
named in 1 post, 13 August 2026 – 13 August 2026
named in 1 post, 13 August 2026 – 13 August 2026
named in 1 post, 13 August 2026 – 13 August 2026
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“宫本武藏🌀【语音包】全收录” (@yuyingbao689), 22 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/yuyingbao689.
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.