Klout continues to mystify, sending email newsletter announcing a new “Klout Perk”, addressing it to EVERYONE with: “Hi Lan,”
So, of course, I tweeted something about it. And I quickly received a response to the mystery:
@bigboxcar I wish! A coding error on my part unfortunately.. sorry for the inconvenience!— Lan Nguyen (@Nguyen_Lan) March 6, 2012
I’m very impressed with how Klout is dealing with this mistake — especially Lan Nguyen. She is going to have a busy day today on Twitter:
Not impressed with the new “perk” much, but this situation made things more interesting. (See more of my Klout “research” here.)
But this re-setting of the scoring dial and the fall out, really underscores the fundamental flaw in any attempt to measure “influence” so dependent on subjective context (a problem I noted back in May.) In fact, now I am beginning to wonder if ANY externally driven Influence scoring methodology is useful given the complexity in determining who has influence and in what areas, (more than once I was amused at how Klout thought I was expert on “Russia” or “Warfare” – maybe because my blog is called “Trenchwars”). So I also can’t help but question whether Klout would do well to not to recalibrate their “Influence” scoring model (which then disqualifies it as a “standard” by any measure) but to recalibrate exactly what they are REALLY measuring. Stripping away techno-buzz, isn’t it more accurate to say that Klout is really measuring a person’s content distribution capabilities – not their influence at all?
A great point. And why I wish Klout told you more about amplification and distribution of content, which is something that’s easily measurable and standardized.
That last sentence is interesting:
Stripping away techno-buzz, isn’t it more accurate to say that Klout is really measuring a person’s content distribution capabilities – not their influence at all?
A majority of users will see their Scores stay the same or go up but some users will see a drop. In fact, some of our Scores here at the Klout HQ will drop — our goal is accuracy above all else. We believe our users will be pleased with the improvements we’ve made. Below is a distribution of the Score changes. You’ll note large decreases in Score are rare.
Check the comments on the post — people are not happy with the new Klout algorithms as they watch their scores drop. So bizarre.