Localized PDF’s - Why Do PDF’s Rank So Easily

Before starting the how of my localised PDFs system, let’s first examine the WHY. Why do PDFs rank so easily compared with a website. 

Like I proved in my Wolf Pack google sites posts, the answer is in the way googles algorithms deal with PDFs. 

Googles algorithms are based on Bayesian Probability/Inference statistical computational equations. 

This is quite simply true as there are no other statistical equations available that would and could perform these algorithmic equations and calculations. Period. 

Don’t believe me. Read the following. 

Bayesian Probability - based on Bayes Theorem

What is Bayes" theorem?

Bayes" theorem is named after Reverend Thomas Bayes, who worked on conditional probability in the eighteenth century. Bayes" rule calculates what can be called the posterior probability of an event, taking into account prior probability of related events.

The importance of Bayes" law to statistics can be compared to the importance of the Pythagorean theorem to math. Nowadays, the Bayes" theorem formula has many widespread practical uses. You may use them every day without even realizing! 

Bayesian inference - real life applications

Bayesian inference is a method of statistical inference based on Bayes" rule. 

While Bayes" theorem looks at pasts probabilities to determine the posterior probability, Bayesian inference is used to continuously recalculate and update the probabilities as more evidence becomes available.

This is possible where there is a huge sample size of changing data.

This technique is also knowns as Bayesian updating, and has a multiplicity of everyday uses that range from genetic analysis, risk evaluation in finance, search engines, military intelligence, security intelligence, war games and spam filters to even courtrooms, to name just a few. 

Jurors can decide using Bayesian inference whether accumulating evidence is beyond a reasonable doubt in their opinion.

Similarly, spam filters get smarter the more data they get; Seeing what types of emails are spam and what words appear more frequently in those emails leads spam filters to update the probability and become more adept at recognizing those foreign prince attacks.

So How Does This Apply To PDFS Ranking Highly You Ask. 

Well I’m glad you asked. 

I’ve been using Bayesian Probability and Inference for just over 40 years, having been taught it in Special Branch. 

I could get incredibly complicated or just say the following. 

Search engine ranking algorithms, like all Bayesian models are designed to update and re evaluate using TRIGGERS. 

Once a trigger is activated in the algorithms, a value MUST be assigned to satisfy the triggers computational requirements. Once this value is added it is COMPARED to the constantly evolving base line value that forms part of that section of the ranking algorithm. 

Now the following is hugely important. 

IF YOU DO NOT ACTIVE THAT TRIGGER, the probability/inference calculations WILL ADD, ON ITS OWN ACCORD, a PRE DETERMINED VALUE based on the constantly evolving base line value. 

Once you understand the above statement truly, you begin to understand how search engines operate. 

An example might prove helpful. 

Take your average new Wordpress site. To supposedly help with SEO the coders of that Wordpress site have ADDED all they think will be useful in helping you with your SEO ranking. 

All they have done in reality is add parameters that WILL TRIGGER the probability/inference calculations. You then have to add values to satisfy those requirements that have been triggered. In this case a value can be an article, a H2 heading etc etc.

You now are competing with the entire planet within the keyword/niche you are operating in.  No wonder ranking becomes so difficult. 

Now we look at a PDF. 

PDFS TRIGGER the absolute MINIMUM that search engine algorithms require. ALL other parameters are automatically ADDED by the probability/inference calculations to satisfy the required outcomes. 

Therefore without even trying, you are able to rank highly. When using PDFs with local marketing, it’s even easier. 

The above applies to all search engines, organic, YouTube, images etc etc. 

Hope this helps.