The goal of this blog is to integrate and relay powerful, beautiful concepts from science and philosophy.
While new discoveries continually push the creative process in new directions, sometimes causing coherence to suffer, the posts are intended to be read linearly, like a book.
Eventually, in some future, I hope to create something like a virtual museum for these concepts to be displayed, where the connections between ideas can be explored as though they were physical objects.
Until then, I hope the long, winding road to a Menimagerie can be interesting in itself.
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- OTOOP Part II.II: From Hierarchies to Networks 2016-01-10
- OTOOP Part II.I: The Redundant Scientometrician 2016-01-10
- OTOOP Part I: Book list 2016-01-10
- OTOOP Part I.XII: Different Statistical Approaches 2016-01-05
- OTOOP Part I.XI: The Normal Distribution 2016-01-05
- OTOOP Part I.X: Surface Tension – The Philosophy behind Statistics 2016-01-05
- OTOOP Part I.IX: Science as Information-Processing 2015-08-29
I study psychology and computing science in Glasgow but am originally from Sweden. I like drawing and popular science. Please don't hesitate to contact me at firstname.lastname@example.org
Category Archives: Okategoriserade
Towards the close of childhood, there typically comes a moment of realization that our time is finite while the knowledge out there isn’t. It becomes harder and harder to nourish our pet hobbies, and sustain any youthful obsessions with dinosaurs, … Continue reading
Within a library’s soaring atrium, beneath its latticed skylight roof and the crown lace of a sycamore, young scholars lay supine in its dappled, purple shade, careful not to bother the familiar presence of an elderly woman, who perched on … Continue reading
The research behind the first room of the Menimagerie – the Entropical Conservatory – was very labor-intensive and very eclectic. The idea was to start with the impressionistic ideas of hierarchy theory and see how it underlies information theory, probability theory, … Continue reading
The Bayesian Approach A Bayesian analysis of the data from a simple experimental design is straightforward. Recall that the theorem implies that the posterior is the likelihood weighted by the prior. Because a hypothesis corresponds to a hypothesized probability distribution, … Continue reading
Populations and variables There would not be much point to science unless it produced knowledge that was otherwise not available to us. The goal of science is to generalize into the past, present and future so as to reliably infer … Continue reading
The Post Hoc and the A Priori If you ever find yourself forced to summarize the ideas of western philosophy in a single metaphor, then the concept of a “self-modifying filter” may be your safest bet. Observation and measurement, according … Continue reading
Information theory introduced the image of system boundaries as implicitly projecting “input categories” upon reality, parsing it into “variables” with an associated space of possible outcomes. Metaphorically, a system queries Nature, asks it a yes/no-question, the answer of which constitutes … Continue reading