Eye span

Our eye muscles are limited. If we were to focus on each word that we read, we would not be able to read above 600wpm and then we would suffer a huge headache and eyestrain. Students who try to push reading speed without learning saccades often complain that the words become blurry and they cannot …

Metaguiding

Unlike other processes we use (visualization, memorization, skimming, analysis, time-management strategies), the actual speedreading is a pretty straight-forward process.  We assume that You have already encoded all the names, dates and other dense stuff within the paragraph in prereading and the relevant markers are readily available to be used. The text is averagely dense, cannot …

Power of details

One of the things that limit our reading speed is the speed of creating markers. If we were required to create a marker per detail within a text, we would end up with a choice between 250wpm at 80% retention and 1000wpm at 20% retention. In fact, one of the reasons that other speedreading courses …

Simplifying texts

Occasionally texts or paragraphs are just too dense or too complex to be understood as written, and then we need to analyse them for our convenience. This is an example of metrics for text complexity. Rewording Some texts contain long and complex words, including words we do not fully understand. In this scenario, we can …

Subliminal reading

Some people (including me) generate visual markers without actual visualization. The symptomatic of subliminal reading is very interesting. By following reading speed, eye motion, association creation, reading progress and some other criteria both Anna and me can tell that the student uses visual processing of the text. The student reads fast and retains very well. …

Superlearning for programmers: algorithm development

My first job was database administrator. My second job was an RF engineer. My third job (back in 1999) was under title “algorithm developer”, and that was the first job I really loved. Since then I have been algorithm developer/CTO on and off, dealing with computer vision, image procession, machine learning, financial mathematics, semantic processing, …

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