信贷 要求:河南籍,23-45岁,征信报告查询半年不超6,一年不超过10次,(不能有逾期记录) 需提供2026年微信,支付宝,银行卡的流水,,流水越大额度越高,资料通过以后去上午到达银行,最快下午或隔天就可以完成贷款拿钱回家。 金额: 客户到手4.5成,后续做公积金,3个月到手200个左右,5.5成结算。 路费客户自费,没有三包,郑州操作 联系 @lengdi
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Channel
@DFJRJT
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
60,896subscribers
-4,810 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001032112935 |
|---|---|
| Type | Channel |
| Username | @DFJRJT |
| Description | 老牌集团,长期招背债/外汇/租车/跑分/代孕/出国劳务人员 |
| Created | Between 1 March 2016 and 31 May 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 October 2026 |
| Measurements held | 45 |
| Confirmed unchanged | 1 time, most recently 22 October 2026 |
| On Telegram | t.me/DFJRJT |
Other / unclassifiable — 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 52% 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 |
|---|---|---|
| 22 Oct 2026, 19:20 | 60,896 | -57 |
| 21 Oct 2026, 18:08 | 60,953 | -22 |
| 20 Oct 2026, 11:36 | 60,975 | -69 |
| 19 Oct 2026, 14:56 | 61,044 | +13 |
| 18 Oct 2026, 11:21 | 61,031 | -31 |
| 17 Oct 2026, 12:16 | 61,062 | -63 |
| 16 Oct 2026, 11:20 | 61,125 | -3 |
| 15 Oct 2026, 09:26 | 61,128 | -70 |
| 14 Oct 2026, 08:21 | 61,198 | -59 |
| 9 Oct 2026, 16:00 | 61,257 | -678 |
| 5 Oct 2026, 11:36 | 61,935 | -581 |
| 29 Sept 2026, 14:37 | 62,516 | -696 |
| 18 Sept 2026, 02:18 | 63,212 | +126 |
| 15 Sept 2026, 19:41 | 63,086 | -31 |
| 14 Sept 2026, 02:56 | 63,117 | -198 |
| 12 Sept 2026, 12:41 | 63,315 | -390 |
| 10 Sept 2026, 10:41 | 63,705 | -605 |
| 7 Sept 2026, 03:41 | 64,310 | -212 |
| 4 Sept 2026, 13:58 | 64,522 | -114 |
| 3 Sept 2026, 01:34 | 64,636 | first reading |
136 posts held, back to 10 June 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 157 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 22 of 40 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 October 2026 |
|---|---|
| Posts held | 136 (10 June 2026 – 22 October 2026) |
| Views total | 57,298 |
| Reactions total | 20 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Oct 2026, 19:30 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 22 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.
Measured directly from 2 videos 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.
89 reactions across 46 posts, in 3 distinct kinds. The most used accounts for 95.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 85 | 95.5% | |
| 👍 | 3 | 3.37% | |
| 😡 | 1 | 1.12% |
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 71 of the 136 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 89 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 136 most recent posts we hold, published 10 June 2026 to 22 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.
信贷 要求:河南籍,23-45岁,征信报告查询半年不超6,一年不超过10次,(不能有逾期记录) 需提供2026年微信,支付宝,银行卡的流水,,流水越大额度越高,资料通过以后去上午到达银行,最快下午或隔天就可以完成贷款拿钱回家。 金额: 客户到手4.5成,后续做公积金,3个月到手200个左右,5.5成结算。 路费客户自费,没有三包,郑州操作 联系 @lengdi
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没有案底执行,没有当前逾期就可以,有过逾期或者查询爆了也没事 方案一: 22-45,芝麻分590以上即可。多少查询也没事。没有涉诉。没有当前逾期。接单包出水。费用三包。7天。2000一台 做10台左右。 有打卡工资证明18台,然后有本金后期可以做金小福 方案二: 金小福,要求芝麻分650以上,线下见面签合同,五千押金,芝麻分越高出额越快,7天出额度,6成结算 年纪20-55 联系 @lengdi 额度最低几十万,支付宝有营业执照可以做到一两百万 没有本金的话,可以先做租机
寻找精神小妹自拍小视频,日结3500,每天拍3/4个视频 福建龙岩拍摄,中介可以跟单 一直拍,一直拿钱,还缺一个名额 能随时出发的联系 联系 @lengdi 好看身材差不多就可以,别线上线下是两个人
单白方案,风筛百行640,银行烂账,15天,到手80万左右,然后做承兑25天,到手230万-280万,然后新能源20天,250左右 @lengdi
没有案底执行,支付宝没有逾期就可以 方案一: 无视逾期借条+租机 23-47岁,额度1-5万,四天结束,不爆通讯不上征,月流水五千以上,2.5成结算,有本金后期可以做金小福 方案二: 金小福,要求芝麻分650以上,线下见面签合同,五千押金,芝麻分越高出额越快,7天出额度,6成结算 年纪20-55 联系 @lengdi 额度最低几十万,支付宝有经营码,营业执照可以做到一两百万 没有本金的话,可以先方案一
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寻找精神小妹拍自卫小视频 日结4000,每天3/4个视频 缺钱的朋友可以聊聊 联系 @lengdi 福建龙岩,一个视频三四十分钟,可以打码或带口罩
无视预期借条+租机,23-47岁,额度1-5万,四天结束,不爆通讯不上征,月流水五千以上,2.5成结算 联系 @lengdi
来个懂背债行业的,经验比较丰富的,可以随时打电话加微信给客户的,我方提供客户信息 联系 @lengdi 熟人优先
金小福持续出水,芝麻分650以上,线下见面签合同,五千押金,芝麻分越高出额越快,7天出额度,6成结算 年纪20-55 联系 @lengdi 额度最低几十万,支付宝有经营码,营业执照可以做到一两百万 没有本金的话,可以先做租机高炮 t.me/DFJRJT/1143?single
有信用记录的客户 落地1000块,全国户籍,有信用卡、车贷、房贷,还款6N,25-50岁,禁农户、经营贷。逾期大花勿扰。信30万-120万;企1000万+ 信贷收费费用50+1万资料费+1年风控7天-10天 企业收费费用50+1年风控,时间6-12个月 客户总到手500万以上 联系 @lengdi
目前在开项目如下,所有项目稳定出水 ❶: 收双白户定制方案最高能到手一两千万 ❷: 花户24-50,拉长线做企业配外汇,平均到手五六百万 ❸: 黑花户带资外汇,不看征信年龄,无执行和案底,都可以赚几百万 ❹: 黑花户租车,不看征信,有驾照就能赚钱,一般到手15万左右 ❺: 各种各样的跑分项目,银行卡/微信/支付宝/公户/POS,少赚几千块,大赚十几万 ❻: 收出国工作人员,不黑不扣 ❼: 高炮撸机项目,黑户也可以试 ❽: 女性代孕项目,正规医院操作 ☞背债贷款业务请准备好资料 — — — — — — — — — — 负责人 @lengdi(冷帝) 账号限制双向联系 @DFJRJT_Bot ☞防止失联备用群 : @DFBYQ 集团百万资产: t.me/DFJRJT/693 飞机中文包: t.me/setlanguage/xiangmu
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大花低门槛业务 背大车,25岁-58岁,不需要驾照,客户和中介四成,总额度300万左右,风险低就是变老赖,后期可以做外汇,额度200万-300万 — — — — — — — — — 流程: 1.在家线上办理公司执照,然后套信息到厂家弄汽车合格证,汽车手续,大概15天左右 2.弄好就出票到黑龙江或者湖北,给车辆弄保险15天左右 3.约银行装GPS下款10天左右 资料 1. 身份证 正反面 横屏拍 不要遮挡边框拍全,还有手机号 2. 任职信息 (微信小程序搜索。电子营业执照,其他应用,投资任职情况查询,知道了,姓名,身份证号确认,截图) 3应用商店下载电子税务局账号密码发我 4贝融大数据 联系 @lengdi
Showing the 12 most recent of 136 posts we hold for @DFJRJT. 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.
@DFJRJT edited 13 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.
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.
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.
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 22 October 2026 — this entry's latest reading, not the date you are reading this.
“灰产项目背债/外汇/跑分/租车” (@DFJRJT), 60,896 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/DFJRJT.
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.