Eclipse of 2016 二零一六的月蚀
Observation and Analysis - The Firepower of Spamming
The spammer is @firepower. According to SteeM.V.P. (http://steemvp.com), @kpine is the biggest supporter of @firepower and followed by @blocktrades as the second. I don't believe these whales are aware of the fact that they were supporting a spammer. The major purpose of this post is to point this out and hopefully to get the attention of these whales, so they won't support spammers anymore.
Screenshot of SteeM.V.P. that shows who are the most valuable upvoter of @firepower
Recently, @firepower went to the range of my radar by commenting two of my posts, Link1 and Link2, within a short period. Even though he complimented my posts with the sweet words of
These are some incredible pictures! I loved your work! and
Fantastic photos of the beautiful beach!, he did not take any effort to upvote either of my posts.
I welcome any sincere comments, no matter it is compliment or criticism, long or short, with or without an upvote. However, I do not welcome
SPAMS. Upvoting my post or not, as long as the reader reads my post and leaves a message, I would appreciate it, no matter how simple the comment is. If a reader reads my post and leave a simple comment such as 'Interesting', I would like to say 'Thank you' to the reader for spending time to read my post and leave message.
For Mr. @firepower, apparently it's not the case. Checking Mr. @firepower's history with SteemSQL, I found that he wrote 4,866 comments since September 1, 2017, more than 100 comments per day. Well, it's definitely possible to read 100 posts and leave comment to each post everyday.
Take a closer look at the @firepower's comment pattern, we can find out how many comments he burst out during a short period. The following screenshot of SteemSQL result shows he could 'write' 20 comments to 20 different authors in 20 minutes:
Well, you may tell me that it's possible to read a post and write comment in one minute. Let's have a closer look, what kind of comments Mr. @firepower wrote. I just did a random search with SteemSQL to check how many comments are the exactly the same as
These are some incredible pictures! I loved your work!, the one he wrote in my post. The answer is, since September 1, 2017, he wrote 67 exactly same comments. Since June 1, 2017, he wrote 91 exactly same comments.
Then, I went to his page to check his profile, which shows:
- About: Steemit.Chat Admin, Project Curie, SteemCleaners & RHW! Helping build a Stronger Steemit Community everyday!
- Followers: 12,747
- Posts: 13,415
- Following: 82,578
- Website: steemit.chat
- Rep: 69
- Steem Power: 30,576
Mr. @firepower's profile makes me believe he is associated with @steemcleaners. As I know, @steemcleaners is an account to fight spam. How comes the member of spamming fighter is a spammer himself? Is Mr. @firepower a experimental account to test the effects of spamming? Highly appreciated if anybody can give me any clue of any relationship of @firepower and @steemcleaners.
What he said sounds very good. But what he did just like Interact as many people as robotically possible with spamming.
Then, I came across a statistics post wrote by @ace108, which counts the top commenters. In the post, Mr. @firepower are mentioned many times. This is a very good resource to read. I believe Mr. @firepower is a spammer. You can go to @ace108's post to check the statistics to make your own judgement whether he is a spammer or not.
@kpine, @blocktrades, @thejohalfiles, @roelandp, @acidyo, @arama, @newsflash, @donkeypong, @steemaccess, @damarth, @livingfree, @vcelier, @analisa, @steemcleaners, @adm, @sherlockholmes: sorry to bother you, and I hope you could read my article and find out whether Mr. @firepower is a spammer or not, and make decision whether continue to support Mr. @firepower or not.
If any whales believe @firepower's action can be tolerated by Steemit, please kindly let me know. I believe I can write a better robot to post comments everywhere to gain attentions from more users.
Thanks for reading.
观察与分析 之 奇葩列传
- Observation and Analysis - Heroes and Villains 观察与分析之侠客英雄传
- Observation and Analysis 20171004 观察与分析之雪花飘
- Observation and Analysis - Blocktrades 观察与分析Blocktrades
- Observation and Analysis 观察与分析 20171002
- Observation and Analysis 观察与分析 20171001
- Upvote Analysis of CN Whales CN区大鲸点赞分析
- Upvote Analysis of CN Whales II CN区大鲸点赞分析之二
- Reflections on Steemit 有关Steemit的杂想
- Use MacBook to Access SteemSQL and Find Delegator 用Mac搜索SteemSQL查询SP代理
- Show Rank of Reputation with SteemSQL 用SteemSQL显示声望排名
- The Posts with Top Payout 史上收入最高的帖子
© Copyright 所有照片与文字皆为 @nationalpark原创。All photos taken by @nationalpark. All rights reserved.