✖️ 银行卡反实名20 🏵️提供:银行卡号+名字 💡回单:身份信息,如果有预留电话则附带预留电话 无盲卡反,量大的话可以在低 其它银行还是正常价 ⚠️ 当天回单 😩 📱📱 👌 【Taig太格查档】✨
👍5❤1

Channel
@taig55
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
30,693subscribers
+16,395 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| 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 | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/taig55 |
Hacking & security — 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 9 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 |
|---|---|---|
| 25 Sept 2026, 21:37 | 30,693 | +284 |
| 19 Sept 2026, 06:15 | 30,409 | +84 |
| 16 Sept 2026, 22:20 | 30,325 | +160 |
| 15 Sept 2026, 03:40 | 30,165 | +18 |
| 13 Sept 2026, 13:18 | 30,147 | +36 |
| 11 Sept 2026, 19:56 | 30,111 | -7,247 |
| 9 Sept 2026, 07:15 | 37,358 | +216 |
| 5 Sept 2026, 23:58 | 37,142 | +5 |
| 3 Sept 2026, 21:17 | 37,137 | -1 |
| 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 | first reading |
328 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 93 pages of Telegram’s post history, 20 posts per page.
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 131 of 158 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 October 2026 |
|---|---|
| Posts held | 328 (5 August 2026 – 1 October 2026) |
| Views total | 69,201 |
| Reactions total | 332 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 02:46 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.
Lifetime counters from Telegram’s own channel header, read 2 October 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.
640 reactions across 258 posts, in 7 distinct kinds. The most used accounts for 86.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 554 | 86.6% | |
| ❤ | 80 | 12.5% | |
| 🕊 | 2 | 0.313% | |
| 👏 | 1 | 0.156% | |
| 🔥 | 1 | 0.156% | |
| 😍 | 1 | 0.156% | |
| 🫡 | 1 | 0.156% |
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 264 of the 328 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 640 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 328 most recent posts we hold, published 5 August 2026 to 1 October 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.
✖️ 银行卡反实名20 🏵️提供:银行卡号+名字 💡回单:身份信息,如果有预留电话则附带预留电话 无盲卡反,量大的话可以在低 其它银行还是正常价 ⚠️ 当天回单 😩 📱📱 👌 【Taig太格查档】✨
👍5❤1
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👍4
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👍1
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👍1
📱手机定位 全网唯一靠谱路线 📍 老二网定位 130 一小时左右回单·10-500米误差 早11点到晚1点(联通 移动)⚙️ 📍 老三网定位 160 半小时左右回单·10-500米误差 晚9点半到1点(联通 电信 移动)⚙️ 📍 移动专线定位 180 5-10分钟回单·10-200米误差 北京时间早9点到晚2点⚙️ 只要大陆号码 全国各地都能出 出过的都知道 有多精准 数据不全 误差大 统统给你回空 💡全网独家渠道 专线对接 随便测试 埋雷 就是这么硬气 认准老牌定位 能找到人的才是好定位 📆 更多业务点我跳转 👆 😩 📱📱 【Taig太格查档】✨
👍1
🚀综合大数据地址 限时 18 (仅限频道订阅用户) 2026最新最全数据 地址包括但不限于: 1.外卖地址 2.快递地址 3.网购地址 4.大数据地址 5.国政地址 6. 数据库等. 我在就秒,7*24小时,我在就秒 😩 📱📱 👌 【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.
❤1
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👍2❤1
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👍1
Showing the 12 most recent of 328 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.
@taig55 edited 8 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.
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.
@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.
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.
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 25 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), 30,693 subscribers as measured 25 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.