hamilton.likes.to.draw...

Statistics have been tested time and again, and proven that the best time to post something online, in order to reach the highest amount of eyeballs, is on Tuesday at 10am.

But why? Well there's a number of reasons. And they cover a broad range of topics.

People who are at their desk job

Most people with a regular desk job are just getting set up and sitting at their desk, and checking emails. And what else? That's right, checking the latest news, blogs, and reddits. This means that they are actively seeking out content. They are also probably at their desk before any meetings.

More importantly they are not currently swamped with work from the weekend. Monday is a day to catch up on work that has accrued from or was put off during Saturday and Sunday. So when Tuesday rolls around, things are a bit more relaxed.

People who are still commuting

Ok, so the thing is, not only do not all people get to work at the same time, but timezones mean that 10 am doesn't mean the same thing all over the world much less a country. So some people are still on their commute. In the morning over 50% of your web traffic will probably be from phones. If you've ever bothered to check your site analytics with any amount of scrutiny, you've probably noticed this.

People on their phones not only are checking things at slightly different times, but most often using slightly different apps. Things like instagram and snapchat and other phone forward apps are being checked, which means that the strategy for what to post where gets even harder to figure out.

People who are watching videos

Then we have the video watching lunch crowd. Now you might be saying "But Hamilton I don't eat lunch at 10 am". You're right. You eat lunch some time later, at a point when the content seekers have had a chance to upvote and like and generally give credence to whatever things have been posted, and get them onto the feeds of people who might otherwise not have seen them.

When the lunch crowd comes in, you want all your content to have already been upvoted and made important so that when this other wave of consumers comes in they will have it placed in front of them.

So in conclusion.

What have we learned here? Probably nothing. This is all speculation. But speculation based on numbers and statistics can be not only fun, but profitable. Go check the analytics on your own content. Do these suggestions align with your own reasoning? Maybe not, but now you're at least thinking about it.