Uncertainty in SEO

Uncertainty marks our work really hard as an SEO. You never know when or what is going to change the status of your website. When your targeted market is is going to jump up and when it is going to sink down. You never know what is coming up for you in the next algorithm update of Google. In short, survival instinct is more than necessary in every SEO. Let’s detail out ambiguity into the field of SEO so that we can really work upon the patters to even deal with it.

There is a special phenomenon whenever uncertainty regarding any field is addressed. It is named as “patternicity” by the founder of the Skeptic Magazine, Michael Shermer. According to this idea of Micheal, there are two types error. Believing a pattern to tackle a typical ambiguity is real when actually it is not and secondly we take it as not right when actually it is true.

As a survival mechanism, our mind is naturally more aligned with the type 1 as considering all the patterns right even if they are wrong. For an SEO, that simply means that we create date in correlation of various factors when actually it is of no use.

Rank Fishkin, in his recent Moz blog, stated that correlations not always yield causation which is quite right. Your pattern-detecting brain is inherently wired to associate the mystery with similar past experiences. This leaves you vulnerable to making a cognitive Type 1 or Type 2 error. When confronted with such a situation we must consult that either we are headed to a type 1 mistake or type 2 mistake.

Pattercity makes us to look for the same pattern over and over again even if the scenario is totally changed. For example a change in title tags showed previously impact on rankings but you can’t really change the title tags for your home page because it is going to be catastrophic.

Pattern recognition carries its own intrinsic flaws but technology advancements for greater efficient algorithm have really affected the overall recognition patterns in a positive way. With the current trends of trade of favorable product reviews, Cornell researchersdeveloped an algorithm of their own expressing the huge amount of 90% fake online reviews. This has simply out classed the manual detection of fake reviews as compared to the algorithm detected reviews.

Now as we are informed but the inbuilt functioning and investigation patterns of our minds we can easily adapt services which are highly technical and have least of portion to be played by this naughty and self righteous organ of our body.