Telegram RegisterThe public register of Telegram

Channel

大发担保公群播报

@DAFA_H

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

5,326subscribers

-17 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002678024357
TypeChannel
Username@DAFA_H
Description大发担保交易员: @DAFA_R 大发担保巡查投诉 : @DAFA_B 大发担保人工客服: @DAFACS_BOT 大发担保公群导航: @DAFA_G 大发担保工作时间 【12:00—00:00】
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/DAFA_H

Growth

5,3265,3435,334.57 August 2026 — 5,343 subscribers7 August 2026 — 5,343 subscribers11 August 2026 — 5,326 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net -17. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 5,323–5,346 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 09:475,326-17
7 Aug 2026, 13:175,343no change
7 Aug 2026, 13:035,343first reading

Engagement

52 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.063%
avg views ÷ 5,326 subscribers
Avg views / post
3.3
52 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
52
of 52 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held52 (6 August 202612 August 2026)
Views total174
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:27 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
2,470
Videos
2
Links
2,260

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Recent posts

12 Aug 2026, 04:01 UTC1 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押3️⃣0️⃣0️⃣0️⃣🔠 公群名字:公群186财神团队招小白兼职/TG兼职日结 公群链接:https://t.me/+mhZSbAYRQUowNzRl 👍规则∶避免出现11分钟违规的事情。最低同时炒2个群 禁止🚫和天天公司的人相互聊。遇见天天的人,不要聊天了,他们聊完50就走了,他们走了再聊🎁 💁‍♀️人工客服 🏠返回导航

12 Aug 2026, 03:01 UTC3 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押5️⃣0️⃣0️⃣0️⃣🔠 公群名字:公群187神仙T盘直招苹果IM机房公群 公群链接:https://t.me/+JH4VJ7rvv-c2ZjU1 👑苹果IM直招公群大团2.3-机房2.5,不黑不扣,无限量!🍾 💁‍♀️人工客服 🏠返回导航

12 Aug 2026, 02:01 UTC3 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押3️⃣0️⃣0️⃣0️⃣🔠 公群名字:公群188押3000u 优知设计——美术领航者 公群链接:https://t.me/+2FA_65kCEq0yNTg1 🕯承接所有定制、整套游戏应用UI、logo、优惠活动图、轮播图、落地页、飞机头像定制、产品宣传视频等💝 💁‍♀️人工客服 🏠返回导航

11 Aug 2026, 14:03 UTC3 viewsread 12 August 2026
Photo

大发担保工作人员: 大发担保交易员: @DAFA_R 大发担保巡查投诉 :@DAFA_B 大发担保人工客服: @DAFACS_BOT 大发担保公群导航: @DAFA_G 大发担保工作时间 【12:00—00:00】 大发专群唯一上押金地址TRC20 TYiUkph49JdCFXmEfvJAVLZTfApV1CHSaa 大发公群唯一上押金地址TRC20 TYiUkph49JdCFXmEfvJAVLZTfApV1CHSaa

11 Aug 2026, 13:00 UTC3 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押5️⃣0️⃣0️⃣0️⃣0️⃣🔠 公群名字:中彩网公司直招 公群链接: https://t.me/+71FcheyVznhjMzUy 🌹正规彩票公司直招 ,零赔付 👏上押五万U ! 🫰大量远程岗、办公岗 💰正規三方工簽 🍀欢迎客服、推广、技术、运营人才加入 💁‍♀️人工客服 🏠返回导航

11 Aug 2026, 12:04 UTC3 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押5️⃣0️⃣0️⃣0️⃣0️⃣0️⃣🔠 公群名字:公群888押50万u 899娱乐 公群链接:https://t.me/+v0wvXwxs6pUzMzIy 💎 首存礼遇 💎💎💎💎💎💎💎💎💎 首存福利充100送100,即享最高返利 56,888!流水仅需 1倍,轻松领取豪礼,超高回报等你拿! 💎 每日充值好礼不断 💎💎💎💎💎 💎💎💎💎💎 💎💎💎💎💎 💎 周周投注狂欢礼 💎💎💎💎💎 每周累计投注量达到相应档位,额外领取 最高1,888 礼金,流水仅需 3倍,投注越多,奖励越丰厚! 💁‍♀️人工客服 🏠返回导航

11 Aug 2026, 11:01 UTC3 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押3️⃣0️⃣0️⃣0️⃣🔠 公群名字:全球WS链接群发/手工代发/包落地 公群链接:https://t.me/+X9MT1O06HxdjYTY1 1️⃣新引流渠道 用Whatsapp推广抢占新机 2️⃣提供使用86注册的ws,无论哪个市都能缺一不少的抓出来 3️⃣玩ws的+86人群是绝对高质量的,外贸老板占多数,开发资源好渠道 💁‍♀️人工客服 🏠返回导航

11 Aug 2026, 10:02 UTC3 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押3️⃣0️⃣0️⃣0️⃣🔠 公群名字:拉拉木国内 国际短信群发 公群链接:https://t.me/+Px6M3PUlDqdjNDY1 👍主营海外及港澳短信群发业务【不接国内】支持任意内容发送 提供独立后台(操作简单)可接一切内容(钓鱼、菠菜、股票、包裹、兼职…•等)全球覆盖200+国家、地区 大多数国家可改外显 欢迎各位盘总咨询👏🌹 💁‍♀️人工客服 🏠返回导航

11 Aug 2026, 09:03 UTC3 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押1️⃣5️⃣0️⃣0️⃣0️⃣🔠 公群名字: 神仙高仿全新苹果手机和金包钨 公群链接:https://t.me/+oufm_9striIzZDM1 🔣主营深圳水贝高仿黄金 铼份 金包铜 金包坞 支持定制 不怕火烧里外一涩 可配品牌发票🔣 🫰华强北本地高仿苹果手机 12-17pm系列 支持定制全新未激活 三码合一 有订单图❤️ 💁‍♀️人工客服 🏠返回导航

11 Aug 2026, 08:01 UTC2 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押5️⃣0️⃣0️⃣0️⃣🔠 公群名字: 二驴天眼查 公群链接:https://t.me/+RjzHnuHewpU0ZWU1 🔣司法/网逃/案件/定位/流水🔣 💎群老板➡️ @xuri1177 ✅🔝司法冻结⭕️网逃仁员⭕️案件记录 ✅🔝手机定位⭕️手机查仁⭕️全家戸籍 ✅🔝银行流水⭕️微信提取⭕️手机反查 ✅🔝照片找仁⭕️开房记录⭕️同住记录 ✅🔝婚姻记录⭕️微信实名⭕️支付实名 ✅🔝护照反查⭕️航班记录⭕️名下房车 💁‍♀️人工客服 🏠返回导航

11 Aug 2026, 05:03 UTC4 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押3️⃣0️⃣0️⃣0️⃣🔠 公群名字: TG引流群发私信拉仁 公群链接:https://t.me/+d-G2mC3Jt6gxYmZl 👍群发广告:群发 引流到个仁号/群/频道 (群发时间每天24小时全自动🈴每天共计发约64000条)⚔️ PS: 24小时不间断发送 线程=TG号个数🤟 💁‍♀️人工客服 🏠返回导航

11 Aug 2026, 04:01 UTC4 viewsread 12 August 2026
Photo

👍👍👍👍👍 已押3️⃣0️⃣0️⃣0️⃣🔠 公群名字:公群186财神团队招小白兼职/TG兼职日结 公群链接:https://t.me/+mhZSbAYRQUowNzRl 👍规则∶避免出现11分钟违规的事情。最低同时炒2个群 禁止🚫和天天公司的人相互聊。遇见天天的人,不要聊天了,他们聊完50就走了,他们走了再聊🎁 💁‍♀️人工客服 🏠返回导航

Showing the 12 most recent of 52 posts we hold for @DAFA_H. 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 — 403,358 of 1,160,990entries 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

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.

“大发担保公群播报” (@DAFA_H), 5,326 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/DAFA_H.

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.