Thanks to Twitter today, I found a new law blog that covers nothing but the legal implications of Social Networking. Hence, the Social Networking Law Blog.
If you know me at all, or read here with any sort of regularity, you already know that I’m subscribed! Megan had me at the title! 😉
Follow these topics: Blogging, LawFirms, SocialNetworking
And this really brings me back to my point, that we do a poor job of truly understanding science, statistics and cause and effect. We believe that algorithms have all been well-thought out, and produce a “true” result, even when they are trying to predict something as unpredictable as what traffic will look like 20 years from now. We assume social science studies are giving us the “right” answer for how to educate people, or train them for the best outcomes, without considering what we are teaching them about the larger world. We assume that we can tweak one belief, or one thing, without human beings reacting to those changes in unpredictable ways, all the while thinking our one change will cause the reaction we DO predict.
We assume a lot that should never be assumed. We over-simplify a world that actually has more influences than we can possibly account for, and assume that what is really a small statistical difference represents a universal truth.
It doesn’t. There are no simple answers. It takes hard work, hard discussions, and lots of listening to figure out the best way forward. Don’t wait for AI to tell you what to do, it may be missing quite a bit.
Basically, a bunch of interesting things too long for Twitter, and dumped into one post. 🙂 The Typical Mac User podcast this week had an interesting interview covering Mac Forensics. There was some good info regarding the general idea of how forensics works for all OSes, and lots of good stuff about Mac forensics that…
“I don’t think Twitter can convince bloggers to pay for sharing data directly. But what if Twitter announces – and I’m telling you right now to expect this – that sharing counts are only available on the Twitter Analytics dashboard? In truth, the data available there is already pretty sweet, and if Twitter put sharing…
Kevin Eikenberry posts some interesting thoughts in video form about what will happen when the job market starts to recover, positing that your best and brightest will be the first ones out the door. I actually tend to agree. I’ve been thinking, for quite awhile now, that when the job market bounces back and people…
