COVID19: Discovery of Doubt

The policies we followed were based on the expectation that we have no effective therapeutics for viruses other than vaccines. We have therapeutics to address the serious problem caused by the toxic protein. Attacking the toxic protein therapeutically for the ill is also a lot more preferable to subjecting the healthy to potential harms of a vaccine.

Dedomenocracy’s nemesis: the innovative criminal

Even including super-intelligent machines into the concept of dedomenocracy, there will remain the present-day complaint that the government needs to get lucky every day but the criminal human needs to get lucky only once. This problem will remain long after we replace democracy with dedomenocracy. The most dangerous criminal is the non-criminal who immediately acts on his newly discovered hypothesis. Even superhuman intelligent dedomenocracy may not be able to discover this hypothesis first.

Confounding variable of Ideology in interpreting political conflicts: the truth may be generational conflict

Today we are seeing a response to entrenched business where the young people are finding success in making disruptive new business plans. To be sure, these disruptive businesses take advantages of new opportunities made possible by new technologies. However, such innovations could have happened within established businesses. As implied by the word disruptive, the established businesses definitely regret not taking advantage of these opportunities for themselves. I think this missed opportunity is a direct consequence of the established businesses failing to hire sufficient numbers of young people, and more importantly to allow younger people to displace older people in positions of authority to allow innovation to happen.

Truth as a confounding variable that interferes with interpreting data

Dedomenocracy is a scaled up version of modern data science practice using big data predictive analytics to automate decision making. As a data science project, there is a need to evaluate the data in terms of how closely it represents a fresh unambiguous observation of the real world at a specific time instead of a reproduction of a past observation through model-generated dark data. Darker data involves some level of contamination with historic observations or with our interpretation of past observations. The problem with darker data is that its use of old and potentially outdated data can discount more recent observations that can tell us something new and unexpected about the current circumstances of the world.

Science of data contrasted with science

In this blog, I have been discussing a perspective gained from my specific experience working directly with a large amount of diverse data.   When I started that project, I was thinking only of the technical challenges of getting data, preparing it for the data store, and doing something useful with it.   These were…

Genesis of a Hypothesis

In earlier posts, I described a taxonomy of human activities as present tense sciences, the past-tense sciences, and the persuasive arts. Present tense science is the scientific methods (plural) of gathering new observations of the world where those observations are well documented and well controlled.   The goal of present tense science is to produce…

Dark Nothing Hypothesis

In my previous post, I lightly questioned the invocation of dark matter and dark energy to augment measured observations that otherwise cannot account for the motion of galaxies or the expansion of the universe. We might be better served by a science that simply says that there are observations that have no scientific explanation. This…