Imagine that you walk into your pitch-black home one night. You cannot find your way around because it is dark, so you reach for the light switch and flip it up, and…nothing happens. The room is still pitch black. Somehow, you make your way to the kitchen faucet because you need to wash your hands. You turn the handle of the spigot, and…no water comes pouring out. You then decide to use your phone to try and call someone or look up what is going on and…no signal. If this was the first time that the power was out, the water was out, and/or your mobile carrier gave you problems, you could chalk it up to a particularly unlucky night and still conclude they are pretty reliable. However, if intermittent power and water outages and signal loss with your phone were an everyday thing, you could say they were unreliable and inconsistent. Practically, what is the difference between having random power failure and no power at all? Either way, it is not very useful. Psychic abilities are like that. If they are inconsistent, intermittent, and they work at random at times, then it is not very useful at all. It would be like intending to perform a psychic action, turning on that switch, and…no power. In order to make psychic applications useful, they must be reliable and consistent. Psychic applications can be made reliable and consistent by creating techniques that facilitate accuracy and precision by implementing standards.
- Accuracy and Precision
- Building Your Template
- Turning Possibilities Into Probabilities
- Creating A Workbook with a Spreadsheet
- The Importance of Archetypes
- Helpful Media
Accuracy and Precision
Accuracy and precision are sometimes confused with one another, but they are different. Accuracy is being able to get close to some measurable value. Accurately psychically perceiving something is like hitting the center of a dartboard. A different scenario that can happen is hitting the center of the dartboard once and scattering the darts at random points on the board. Hitting the center once was accurate; however, after that, the darts were scattered all over the board. It is like having had power in your house yesterday, but you do not have power in your house today – it randomly goes in and out. That is not very reliable. Precision is how close all of those samples are even if they are inaccurate. Being inaccurate while attempting to perceive a thing psychically, is like throwing a dart at a dartboard and missing the middle. An example of being precise but not accurate is never hitting the center of the board; instead, the darts end up clustered together at the top left.
A way to make things more consistent is to make them more objective. Objectivity is not necessarily empirical. Conventionally, making something objective means making something standard. Empirical is sometimes confused with objective. They are two different, albeit often related, things. One does not necessarily imply the other (the identity of real numbers is a perfect example: numbers are objective but not empirically measured). Whenever you interact with something psychically, you are working with data, but without turning that data into meaningful information, that data is not useful. That requires a type of consistent data structure. Fortunately, all measurable things inherently have a data structure. A spreadsheet and database friendly data structure is a schema. The creation of schemas allows for easy data analysis. Analytical methods are typically more reliable than intuitive methods. Until beginners develop accurate and precise intuition, beginners should make use of analytical methods. Veridical experiences develop reliable forms of intuition, so if there is a low amount of veridical experiences, then it is likely that intuitive judgments are not reliable. As a consequence, reliability in performance can decline.
A schema is a way of organizing data for things. Data are measurable properties that are not necessarily a posteriori or empirical that correspond to a property. For example, warm and dark are examples of data, but warm and dark is not meaningful in itself. If dark was an attribute of the property of the color of the beverage in a cup and warm was the attribute of the temperature, some organization creates meaningful information. A beverage has a temperature and a color. Abstract frameworks create structures and associations among data in meaningful ways.