 Sep 2023

www.librarything.com www.librarything.com

As I’d mentioned, the problem is not with the first printing, when our usual press run ranges from 7,000 to 15,000 copies, but with subsequent printings of a many of our titles. In many cases, a few years after a title’s initial publication, a three to fiveyear supply can be as low as 500 copies. The cost to set up the book (called “makeready” in the industry) is so high that the printing/binding cost per book is far more than most readers would be willing to pay. To “break even” on some of these titles, we’d have to charge $100 or more in bookstores, which would decrease sales even further. As it is, we subsidize those volumes with donations and with sales of other books.
https://www.librarything.com/topic/286378
LOAs first print runs are in the 7,000  15,000 copy range. Often after initial publication the stock for a 35 year supply is about 500 copies.

 Jan 2023

www.complexityexplorer.org www.complexityexplorer.org

What it means to be a member of this or that class is a complex, interpretative matter; but tracking how many times a person has been to the opera is not. You can count the latter, and (the bargain goes) facts about those numbers may illuminate facts about the deeper concepts. For example, counting operagoing might be used to measure how immigrants move up the social class ladder across generations. Crucially, operationalization is not definition. A good operationalization does not redefine the concept of interest (it does not say "to be a member of the Russian intelligentsia is just to have gone to the opera at least once"). Rather, it makes an argument for why the concept, as best understood, may lead to certain measurable consequences, and why those measurements might provide a signal of the underlying concept.
This is a good example of the fuzzy sorts of boundaries created by adding probabilities to individuals and putting them into (equivalence) classes. They can provide distributions of likelihoods.
This expands on: https://hypothes.is/a/3FVi6JtXEe2Xwp_BIaCv5g

Signal relationships are (usually) symmetric: if knowledge of X tells you about Y, then knowledge of Y tells you about X.
Reframing signal relationships into probability spaces may mean that signal relationships are symmetric.
How far can this be pressed? They'll also likely be reflexive and transitive (though the probability may be smaller here) and thus make an equivalence relation.
How far can we press this idea of equivalence relations here with respect to our work? Presumably it would work to the level of providing at least good general distribution?

 Sep 2022

www.scientificamerican.com www.scientificamerican.com

Running this simulation over many time steps, Lilian Weng of OSoMe found that as agents' attention became increasingly limited, the propagation of memes came to reflect the powerlaw distribution of actual social media: the probability that a meme would be shared a given number of times was roughly an inverse power of that number. For example, the likelihood of a meme being shared three times was approximately nine times less than that of its being shared once.

 Mar 2019

complexityzoo.uwaterloo.ca complexityzoo.uwaterloo.ca

Special Complexity Zoo Exhibit: Classes of Quantum States and Probability Distributions 24 classes and counting! A whole new phylum of the Complexity kingdom has recently been identified. This phylum consists of classes, not of problems or languages, but of quantum states and probability distributions. Well, actually, infinite families of states and distributions, one for each number of bits n. Admittedly, computer scientists have been talking about the complexity of sampling from probability distributions for years, but they haven't tended to organize those distributions into classes designated by inscrutable sequences of capital letters. This needs to change.
