The title is a play on words from the analogy of the supposed hierarchy structures of wolf packs with alpha males, beta males, and omega males where roughly speaking the alpha males lead the pack and get first choice of resources, the beta males are cooperative and share resources more equitably, and the omega (or…
Unlike skepticism of knowledge or of ability to know the truth, the modern skepticism is a skepticism of having enough data.
IQ data is similar to bright ultraviolet light: it can provide very good illumination (with compatible sensors) but it must be used with abundant caution. Fine-resolution IQ discrimination must result in major implications for the culture, if that discrimination is occurring. I believe it is occurring with the emerging social specialization of an emerging human hive.
The above video presents four eras of human communication from an evolutionary perspective where there was a long time when humans only gestured and grunted, then there was a long time when humans spoke but did not write, then a long time when people wrote. The useful information is the progression of information content possible with each era. The unnecessary information is evolutionary explanation. For this discussion to work, there doesn’t have to be a specific period of time when human culture flourished with illiterate people fluent in verbal languages. There are clearly expansions of content starting with gestures, then adding verbal languages, then adding written languages. The Internet era allows us to publish and retrieve information separately from the story-telling.
With big data, we end up with deep historical data from distant events. There will be something needed to fill in the gaps that were mysteries at the time. That gap filler will be spontaneous data whether we acknowledge it or not. Even if we as humans leave the gap unfilled, we can’t be sure that our data analytics or machine learning algorithms won’t fill it. When it does, how can we be sure it won’t come up with a supernatural explanation that it keeps to itself?
For those who were surprised by this recent election, be prepared to be even more surprised by the next one.
The advantage of data on read strategy is that it separates the processes of data collection from the processes of applying a schema in order to interpret the results. We can learn more easily that our prior knowledge was wrong when we get prior knowledge out of the data store.