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Channel
【LV旗下项目!苹果ID贷款-10分钟下款-全网最低息】
@LVIDdai
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
64subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003744960798 |
|---|---|
| Type | Channel |
| Username | @LVIDdai |
| Created | 25 May 2026 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/LVIDdai |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 09:23 | 64 | no change |
| 10 Aug 2026, 22:46 | 64 | first reading |
Engagement
7 posts held, back to 25 May 2026 — 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 7 posts for this entry, the most recent from 9 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 4s
- Average length
- 4s
Measured directly from 1 video 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
4 reactions across 2 posts, in 4 distinct kinds. The most used accounts for 25.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 25.0% | |
| 👍 | 1 | 25.0% | |
| 🔥 | 1 | 25.0% | |
| 🥰 | 1 | 25.0% |
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 2 of the 7 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 25 May 2026 to 9 July 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
选择发财ID贷优势: 1️⃣:新老客户永久享受24小时内还款利息减半活动 2️⃣:不拿密码4次 免息1次 3️⃣:全天24小时在线 💸💸💸💸💸💸💸💸💸 13-17pm全系,换绑ID秒打款 ⚠️:代操作勿扰,必须本人办理 ⚠️:首次审核需配合投屏换绑ID ⚠️:借款期间手机正常使用 ⚠️:利息有价 人情无价 宁给三分息 不欠一分情 🍎13-17全系最高🉑贷 🍎13-17全系最高🉑贷 🍎13-17全系最高🉑贷 3️⃣0️⃣0️⃣- 3️⃣0️⃣0️⃣0️⃣ 😀😀😀😀😀😀 客服联系😢:@daikuan718 @LVdb(发财发财) 双向联系😢:@LVIDdai_bot 监管机,未成年,不做也别问 新客户简审,老客户提额免审 可借7天 15天 30天 可借7天 15天 30天 可借7天 15天 30天 官方群组:https://t.me/ec666
👍1🔥1🥰1
⭐江湖 救急 ,灵活 变现 💵额度高,低利息! ⭐苹果ID贷 • NFT • +888号码 • 贷款 🖼 关注:@LVIDdai ⭐苹果ID贷 • NFT • +888号码 放款交易群: @LVdbNFT ⭐贷款/抵押 • 随时联系 • 24小时服务 ⭐联系专员: @daikuan718 @LVdb ⭐双向联系: @LVIDdai_bot ⚠️郑重申明专员没有任何业务人员,所有头像名字一样者均为骗子! 谨防被骗,认准用户名 @daikuan718 @LVdb
👍全天24h营业中👍 👍全天24h营业中👍 😀😃😃😃😃😃 🙂🙂🙂🙂🙂🙂 👍 利息低👍 👍审核快👍 下款速度超快 下款速度超快 下款速度超快 打庄缺钱来下款 下款速度超快😃无视征信 只要个苹果手机 秒放款 欢迎来体验 😂 可做日息 ‼️周息 ‼️10天息 ‼️15天息 ‼️和月息 ‼️🙂🙂🙂 😂 可做日息 ‼️周息 ‼️10天息 ‼️15天息 ‼️和月息 ‼️🙂🙂🙂 😂 可做日息 ‼️周息 ‼️10天息 ‼️15天息 ‼️和月息 🙂🙂🙂 苹果12最高🉑贷 5️⃣0️⃣0️⃣ 苹果13最高🉑贷 8️⃣0️⃣0️⃣ 苹果14最高🉑贷 1️⃣5️⃣0️⃣0️⃣ 苹果15最高🉑贷 2️⃣5️⃣0️⃣0️⃣ 苹果16最高🉑贷 2️⃣5️⃣0️⃣0️⃣ 苹果17最高🉑贷3️⃣5️⃣0️⃣0️⃣ 额度3️⃣0️⃣🔠到3️⃣5️⃣0️⃣0️⃣ 平板 ipad 苹果电脑都可下款 咨询不会失望.. 🙂🙂🙂😀😀😀😀😀 😀😀😀😀:@daik…
❤1
💸💸💸💸💸💸💸💸💸 ⚠️:无需抵押-无视一切-简单审核 ⚠️:苹果12-17pm全系!换绑🆔秒打款 ⚠️:贷款审核需要配合投屏换绑🆔 ⚠️:下款到机主本人账户,代操作勿扰。 ⚠️:借款期间手机正常使用 🍎12全系最高🉑贷 😚🧐🧐🧐 🍎13全系最高🉑贷 😚😛🧐🧐 🍎14全系最高🉑贷 😚🥶🧐🧐 🍎15全系最高🉑贷 😋🥶🧐🧐 🍎16全系最高🉑贷 😛🥶🧐🧐 🍎17全系最高🉑贷 4️⃣0️⃣🧐🧐 🙂🙂🙂😀😀😀😀😀 😀😀😀😀:@daikuan718 @LVdb ⚠️:客服不会主动联系任何人 ⚠️:认准客服用户名,小心被骗 🍔😀😀😀 😀😀😀 😀😀😀 不做监管机 不做未成年 群里骗子太多,尽量不要发言 需要直接私信群业务员,防止被骗 👍地球不爆炸👍永远不退押👍p
【LV旗下项目!苹果ID贷款-10分钟下款-全网最低息】 📱苹果全系列 额度500-5000🥵 解你燃眉之急💪 做真诚,长久,全网招代理。 人总有困难的时候,留个好友位以备应急之需!只看手机,不看征信,24小时在线!随时找 认准用户名其他都是骗子 @daikuan718 @LVdb
Channel created
Showing the 7 most recent of 7 posts we hold for @LVIDdai. 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 — 202,579 of 1,189,255entries 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
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“【LV旗下项目!苹果ID贷款-10分钟下款-全网最低息】” (@LVIDdai), 64 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/LVIDdai.
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.