Channel
@Daofanzha
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
8,659subscribers
+10 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1004307245802 |
|---|---|
| Type | Channel |
| Username | @Daofanzha |
| Created | Between 1 June 2026 and 4 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/Daofanzha |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 19:57 | 8,659 | +10 |
| 9 Aug 2026, 00:54 | 8,649 | no change |
| 8 Aug 2026, 07:49 | 8,649 | first reading |
4 posts held, back to 4 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 10 pagesof 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 1 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 4 (4 August 2026 – 10 August 2026) |
| Views total | 499 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:08 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 4 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 4 August 2026 to 10 August 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.
注意骗子又开始杀鱼了，这个骗子活跃在各大交流群，诋毁别人装大款，吹牛逼，然后给别人发一个假牙，进行诈骗，真公群oooa为真实担保 他发的ooyy是假押专门为诈骗而模仿真担保进行诈骗，注意他不仅在各大交流群炒群立人设还通过私信发布曝光他人诋毁他人等方式让你相信他是好人，拉你进群诈骗， 图7也是重要证据之一，这样的诈骗犯打着曝光他人给自己立好人人设的方法进行诈骗，真的是老鼠人人喊打，已经多个群组频道曝光这样的骗子。 骗子发的群链接都是为了诈骗你们而准备，不要进去被骗了。
这个人到处在各大群组活跃，一半的群组他都进去吹牛逼曝光骗子立人设，目的就是为了在小白目前装好人形象，装大款，带小弟，到后面等到小弟完全相信之后，就开始诈骗，此人已经诈骗多次，先是卖盘口诈骗，后又如图片上面说的，骗完之后还死皮赖脸不承认，钱拿到手了还说自己没有杀鱼，这种人厚脸皮到什么地步，天天舔着脸去舔人家群组，天天在别人群里装逼立人设，各大群主的群应该都少不了他利人设的时候，哪一个对话都是为了立人设而来，开不起公群，只能靠立人设让别人相信好进行诈骗，飞机最可恶的诈骗犯，厚脸皮，人家诈骗光明正大的骗，这个人诈骗靠各种手段立人设让小白相信他，利用人的感情进行欺诈， 此人频道全是诈骗内容，什么高利润商品都是想掏空你的钱包，此人还弄假截图给广西捐款50000 全是为了立人设装好人
投稿一个专门利人设骗小白的畜生，这个人这一年靠着曝光别人诋毁别人给自己利好人人设，专门给小白洗脑说外面都是骗子自己才是最靠谱的，天天说那个骗这个骗，天天曝光别人，曝光别人没有一个拿的出证据，反而他自己就是一个专业渔夫，我都不用找随便一说就有别人给我发他的杀鱼证据，看他主页就知道了，副业啥走私，实物车招人，还各行各业都有资源还有盘口，怎么有人那么厉害各行各业都有资源盘口，之前他还有说55u卖一个盘口然后被别人曝光一次就不说卖盘口了，他收了别人55u买盘口费用然后，把自己的小号推过去，在骗人家上压一次，然后跑路，这种畜生天天在小白那里装老好人杀鱼，小白最容易被这种利人设的骗了，各位小白擦亮眼睛，不要被一个人的人设骗了，都是为了你口袋的钱。 杀完客户杀小弟，专利人设骗小弟。 小弟出金拿大头， 专业杀鱼我后妈。
❤1
不想多说了 输几十万几十万的输 赢几万就被黑 已经俩个平台 被黑了 俩个平台黑我十几万 玩几个平台已经输了100多万了 休息两天 出去玩俩天 调整调整心态在开工吧
Showing the 4 most recent of 4 posts we hold for @Daofanzha. 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 — 179,432 of 1,350,102entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 1 registered channel — 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“达欧反诈/骗子投稿/全网曝光 @Daojt” (@Daofanzha), 8,659 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Daofanzha.
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.