🔰微信流水 不带ID ✅ 一月 😀😀😀 三月 😀😀😀 🔰支付宝流水 带ID ✅ 一月 😀😀😀 三月 😀😀😀 回单时间:当天隔天 💍

Channel
太格查档免费社工库开户查人开盒动态圈🦍
@taig55
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
37,138subscribers
+22,840 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001508589100 |
|---|---|
| Type | Channel |
| Username | @taig55 |
| Description | Taig太格查询🔍深耕查档五年有余,欢迎新老客户咨询合作,有查询权限(资源)的老板前来合作,共创美好明天✅ 合作下单联系: @taig11 @taig110 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/taig55 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 10:04 | 37,138 | +4 |
| 1 Sept 2026, 10:14 | 37,134 | +56 |
| 31 Aug 2026, 13:43 | 37,078 | +147 |
| 30 Aug 2026, 16:12 | 36,931 | +50 |
| 29 Aug 2026, 13:47 | 36,881 | +37 |
| 28 Aug 2026, 15:36 | 36,844 | -31 |
| 27 Aug 2026, 13:32 | 36,875 | +138 |
| 26 Aug 2026, 16:16 | 36,737 | +18 |
| 25 Aug 2026, 18:15 | 36,719 | +8,954 |
| 24 Aug 2026, 21:44 | 27,765 | +10,758 |
| 23 Aug 2026, 07:38 | 17,007 | +22 |
| 21 Aug 2026, 16:57 | 16,985 | +33 |
| 20 Aug 2026, 16:57 | 16,952 | +159 |
| 19 Aug 2026, 17:02 | 16,793 | +106 |
| 18 Aug 2026, 16:05 | 16,687 | +229 |
| 17 Aug 2026, 13:28 | 16,458 | +284 |
| 16 Aug 2026, 07:07 | 16,174 | +205 |
| 14 Aug 2026, 17:15 | 15,969 | +304 |
| 13 Aug 2026, 08:48 | 15,665 | +239 |
| 12 Aug 2026, 09:11 | 15,426 | first reading |
Engagement
172 posts held, back to 5 August 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 52 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.32%
- avg views ÷ 37,138 subscribers
- Avg views / post
- 490
- 172 posts measured
- Reaction rate
- 0.462%
- reactions ÷ views · ER floor
- Posts in window
- 172
- of 172 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 134 of 172 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 172 (5 August 2026 – 2 September 2026) |
| Views total | 84,247 |
| Reactions total | 311 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 19:16 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
- Photos
- 274
- Links
- 4
Lifetime counters from Telegram’s own channel header, read 2 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
311 reactions across 131 posts, in 4 distinct kinds. The most used accounts for 85.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 267 | 85.9% | |
| ❤ | 42 | 13.5% | |
| 🔥 | 1 | 0.322% | |
| 😍 | 1 | 0.322% |
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 134 of the 172 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 311 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 172 most recent posts we hold, published 5 August 2026 to 2 September 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
🔰一年内美团最新10条🔰 只要手机号报单,一年内记录保真不保漏 带时间➕地址,每天限量,牛逼渠道, 手机号报单,美团的跑腿,闪送都出 😩 都是保真不保漏,一条也收,敏感收费不回
👍3
🔰短信记录🔰 客户反馈记录都带地址 运气好就有啊 便宜好用 用来分析轨迹使用生活情况都可以的 价格不贵 比快递地址便宜多了 只要有快递基本上都能出 不能看私人的 也能看到逾期欠款内容 等等 总结:机票 火车 欠款 运气好就有 半年记录 包真不保漏 代理来拿价格 回单人在就秒 非常速度 急单来报 😂😂😂😂😂😂😂😂😂 😀 重金寻公职人员合作 工桉 快递 外卖 法院 民政 人设等有权限部门,都可以联系我合作共赢。 欢迎各大部门有权限人士联系,共同捞金 Comply with EU laws and Telegram regulations. All content in the channel is AI-generated without any negative impact and is for reference only.
👍2
🔰 立案详情🔰😀😀😀 提供:姓名 身份证号 回单:所有案件开始的第一步都是立案开始,带案件详情,同案人状态, 隔天回单 此项目 空收一半费用 😩 📱📱 👌 【Taig太格查档】 😂😂😂😂😂😂😂😂😂 😀 寻公职人员合作 有权限的公职人员 都可以联系我 合作共赢 欢迎各大部门有权限人士联系,共同捞金 Comply with EU laws and Telegram regulations. All content in the channel is AI-generated without any negative impact and is for reference only.
👍1
🔰破解微信实名信息🔰😀😀 破解微反 新菜90%出单率 老味道非常稳 有名统一 当天报当天回,不回可撤, 量大可谈剩菜也能出‼️ 🔸🔸🔸🔸🔸🔸🔸🔸🔸 🔰微信反查绑定手机号🔰😀😀 100%现绑微反手机号 工作日每天23:00准时发车 隔天晚上23:00后回单 🔸🔸🔸🔸🔸🔸🔸🔸🔸 🔰微信反查实名信息🔰😀😀😀 公网微反二件套(出身份证 手机号) 每天晚上发车,发车2天内必回 已经回复很多批,公网渠道少,破解大剩菜 医美 都甩过来。 🔸🔸🔸🔸🔸🔸🔸🔸🔸 😩 📱📱 👌 【Taig太格查档】
👍1
🔰电信通话记录🔰 一个月 三个月 六个月 电信座机一样可以查 无遗漏 不惧任何检验 现在报最快当天回 欢迎包车! 🔰电信百分百机主🔰 五点前报 当晚回 模糊姓名 带户籍地 以上业务翻车赔U 以上业务翻车赔U 已上押公群 交易有保障 公群可报备 😩 📱📱 👌 【Taig太格查档】 😂😂😂😂😂😂😂😂😂 😀 寻公职人员合作 有权限的公职人员 都可以联系我 合作共赢 欢迎各大部门有权限人士联系,共同捞金 Comply with EU laws and Telegram regulations. All content in the channel is AI-generated without any negative impact and is for reference only.
🔰资产调查大全套🔰😀😀😀😀 ✨出名下以下银行,所有开卡流水 ✨工商银行✨农业银行✨中国银行 ✨建设银行✨中信银行✨光大银行 ✨华夏银行✨民生银行✨邮储银行 ✨交通银行✨浦发银行✨广发银行 ✨招商银行✨平安银行✨兴业银行 ✨渤海银行✨浙商银行✨恒丰银行 ✨出登记的不动产,房,矿,宅基地 ✨出全国工商登记,包括持股 ✨出最近5年,航班铁路信息包括同行 🔰单张银行卡开卡流水 😀😀😀
🔰网逃 残血网逃🔰😀😀 带撤销 无详情 速度快 一天多批! 🔰网逃带详情 撤销🔰😀😀 有详情 有撤销 基本当天回单 稳定出! 🔰服刑记录🔰 😀😀 服刑就是进去过的所有记录 这个渠道是监狱系统出的 只有进过监狱的才能出来 以上业务都是空也收费的 !
🔰综合柜台开卡流水🔰 个人开卡😀😀😀 公户开卡😀😀😀 农业银行 建设银行 招商银行 民生银行 平安银行 交通银行 工商银行 🔴星期天发车 三到七个工作日回单 个人公司都无遗漏 利息收费 🟥公户(城投、融资、小贷、上市公司、国企、国企参股)不要报,敏感扣单 😩 📱📱 👌 【Taig太格查档】 😂😂😂😂😂😂😂😂😂 😀 寻公职人员合作 有权限的公职人员 都可以联系我 合作共赢 欢迎各大部门有权限人士联系,共同捞金 Comply with EU laws and Telegram regulations. All content in the channel is AI-generated without any negative impact and is for reference only.
👍1
🔰美团订餐记录最新一页 🔰美团酒店记录最新一页 二个业务各一页一起打包 😀😀 提供手机号出最新一页美团点餐记录加酒店 订房记录 纯美团内部直出 无遗漏 注:点餐只是记录 没有收货地址 加钱可以指定日期或出全部 只要下单了 当天的记录都能出 0延迟 订房记录比单开好(概率带同住人名字) 强推
👍2
😆手机号码定位系统🔰 三网精准位置↖️:每天24小时开工 👍只要手机号,出来的百分之百都是精准位置,定不到和位置模糊的,都给你回空了,为了你的口碑,怕你天天和客户扯皮,有些只知道哪个区,咱都报空了,出来的都是准的,凡发现一个假位置赔1万,不是实时位置赔5000。☺️❤️😱😢 😀😀出过的都知道: 🤘出单以来0扯皮😜 🫰出单以来0扯皮😜 😩 📱📱 👌 【Taig太格查档】 😂😂😂😂😂😂😂😂😂 😀 寻公职人员合作 有权限的公职人员 都可以联系我 合作共赢 欢迎各大部门有权限人士联系,共同捞金 Comply with EU laws and Telegram regulations. All content in the channel is AI-generated without any negative impact and is for reference only.
👍1
🔰电商历史购物记录🔰😀😀1️⃣ 各大电商平台购物记录带收货地址。 几大主流平台/京东/淘宝/拼多多/都有。 给谁买过东西/留过谁的地址/谁给她买过东西都会有/可以作为分析人物关系等用途 渠道读秒 😩 📱📱 👌 【Taig太格查档】 😂😂😂😂😂😂😂😂😂 😀 寻公职人员合作 有权限的公职人员 都可以联系我 合作共赢 欢迎各大部门有权限人士联系,共同捞金 Comply with EU laws and Telegram regulations. All content in the channel is AI-generated without any negative impact and is for reference only.
Showing the 12 most recent of 172 posts we hold for @taig55. 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
@taig55 edited 7 posts 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
- 8 August 2026
- Most recent edit
- 22 August 2026
Citation-graph rank
Citation-graph rank — 1,028,913 of 1,629,808 entries 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 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.
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
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@taig55 named 1 handle 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 8 August 2026 – 10 August 2026 · confirmed gone 15 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“太格查档免费社工库开户查人开盒动态圈🦍” (@taig55), 37,138 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/taig55.
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.