This weekly report provides a snapshot of posting activity on the Steem Blockchain for the past 7 days.
This week there was quite a large drop in number of posts down from 154k last week to 135k this week.
The main drivers of this drop off are the following Users:
Last weeks report is available for comparison Post Activity Report 15th Aug - 21st Aug
Focusing on the numbers/frequency of posts (i.e. ignoring payouts) we can get a feel for who is posting as well as the level of account activity.
We separately analyse the frequency of posting activity by:
The data for this report is sourced from steemsql by 
In the past 7 days there was a total of 135k posts from 27k unique accounts. That gives an average of 5 posts in the week for authors that were posting. The next graphs shows the breakdown of these figures on a daily basis.
Daily counts give a high level overview but we can examine subdivisions or groups of authors to get further insights into who is posting.
The colour in the following graphs represent different cohorts of Steemit Accounts.
It can take a while to build your reputation and the system is designed so that it is easy to lose it. You don't want to get downvotes from people with higher Rep!
The next few graphs examine how many posts per day are made by people of different Reputations.
Steem is a stake weighted platform. If you have more stake your vote is worth more.
The next few graphs examine how many posts per day are made by people with different levels of Steem Power.
The first accounts were created in April 2016. We are now over the 1.1m account mark. Absolute number is important but retention is also important.
The next few graphs examine how many posts per day are made by people that have been on Steemit for different lengths of time.
If there is one, what is the number of comments a day that we could use to identify automated accounts?
I would propose anything higher than 4 posts per day (on average) uses some sort of automation. This number may not be correct but it's a starting point for our analysis.
Automated accounts may post daily reports or in some cases may just be people spamming the system with low quality content or content copied from other sources. Not all automated posts are bad and some provide a useful function such as daily statistics, market analysis etc. Splitting out these automated accounts will be more relevant for comment activity however it's also worth tracking for posts.
The next few graphs examine the daily posts that are in some way automated.
If your looking for more daily statistics:
@arcange produces daily reports with really useful data.Interactive tools
@steemchiller
@justyy
@segypark
@jesta
@steemreports
@erocheYou may also wish to check out the following tag
@paulag, produce detailed analysis on all things related to Steemit.What area of this report did you find most useful?
I would love any feedback to improve or clarify any of this analysis.
Thank you for reading this. I write on Steemit about Blockchain, Cryptocurrency and Travel.
