Sublime

The idea in MCMC is to do a random walk, like the proverbial drunkard, jumping from state to state of the network in such a way that, in the long run, the number of times each state is visited is proportional to its probability. We can then estimate the probability of a burglary, say, as the fraction of times we visited a state where there was a bu

add a filter constructed as follows: we’ll assign the variable “x” a +1 value whenever two closes in a row are in the same direction, up or down. If it’s an up followed by a down or vice versa, then x=0. If over a given number of days, x is greater than or equal to a given threshold, we’ll activate our basic breakout entries.

Kierkegaard and Marx are not only Hegel’s most trenchant critics but also his most important appropriators.

coalescing

Markov chains tell you the statistically likely future without knowing the past; blockchains enable the real-life future by indelibly recording the past.

By adding these links between notes, Luhmann was able to add the same note to different contexts. While other systems start with a preconceived order of topics, Luhmann developed topics bottom up, then added another note to his slip-box, on which he would sort a topic by sorting the links of the relevant other notes.