Tag: mathematics

Posted on

#BlogTour: Principles Of (E)motion by Sara Read

For this blog tour, we’re looking at a strong, layered romance with an atypical lead. For this blog tour, we’re looking at Principles Of (E)motion by Sara Read.

Here’s what I had to say on the review sites (Hardcover.app, TheStoryGraph, BookHype, Goodreads):

Strong, Layered Romance With Atypical Lead. Up front, I’m a guy that got a degree in a mathematics related field (Computer Science) and because of the quirks of the way I attended college (also, as our lead here, at 16yo,fwiw) I came within just a couple of semesters of getting two other separate mathematics related degrees at the same time. Like our lead, I too had a flash of utter brilliance at that young age (well, in my case I was 20 yrs old) that is now, 20 yrs later, seemingly being realized in the real world. (Damn I wish I had applied for a patent, but I thought nothing of it other than as a paper for a Bachelor’s Degree level class – even if Senior Year.) And yes, like our lead, I’ve also known close friends of that era later struggle with various legal issues. So maybe the book worked so well for me *because* I am in a rare position of having a similar enough background to *really* feel it. Perhaps. But I also think these issues and situations are still prevalent enough and general enough that even if you’ve never been in or near situations with these exact particulars, you’ve been in or around similar *general* situations (strains on parental relationships, lonely, questioning yourself even as a 30+ yr old adult who is “supposed” to “know what you’re doing” by now, etc).

And that is what makes this book particularly great. Yes, it is messy. Yes, it can be convoluted at times. Yes, it may or may not feel particularly “swoon worthy” romantic at times. Hell, there are times when it feels like our lead exists for little more than sex. (That is rare, btw, but yes, “clean”/ “sweet” crowd… you’ve now been warned that this may be a bit racy for your tastes.) But all of this, to me, makes it feel all the more “real”. Because let’s face it, our lives rarely feel any of those things all the time (thank God, really).

And while some may scream at me “But I don’t read romance to feel REAL!!!!! I *WANT THE FANTASY DAMMIT!!!!*”, my argument here is that because this *is* more real, *knowing* that this book fulfills all romance requirements I am presently aware of means that despite the realism, *you still get the fantasy as well*. You still get that happy ending – at least one that works for this couple in this story in this world. You still get that “awww” and that catharsis that everything works out in the end, no matter how shitty and messy it gets in between.

And to me, that makes the story *stronger*. *Because* it was more real and more heartfelt.

This was my first book from this author. It very likely will not be the last.

Very much recommended.

After the jump, an excerpt from the book followed by the “publisher details” – book description, author bio, and social media and buy links.
Continue reading “#BlogTour: Principles Of (E)motion by Sara Read”

Posted on

#BookReview: Escape From Model Land by Erica Thompson

Astrology == Mathematics. For Sufficiently Large Values Of 2 While Imagining Spherical Cows. Thompson does a truly excellent job here of showing how and where mathematical models of real-world systems can be useful, and where they can lead us astray – perhaps a bit *too* good, as at times she has to jump through a few mental hoops to excuse the inadequacies of preferred models such as those related to climate change and the spread of COVID. On climate models in particular, she actually raises one of the several points Steven Koonin did in 2021’s Unsettled – namely, just how wide each cell of the model is by necessity and how much variation there is within these cells in reality yet models must – again by necessity – use simply an average value throughout the cell. But she discusses a wide variety of models in addition to climate, and again, she truly does an excellent job of showing their benefits and how they can harm us. One star is lost due to the extremely short “future reading” section in place of a more standard bibliography (20% or so is fairly standard in similar nonfiction titles). The other star is lost because this book does have a robust discussion of the numerous COVID models and *I DO NOT WANT TO READ ABOUT COVID*. I am waging a one-man war on any book that references this for any reason at all, and the single star deduction is truly the only tool I have in that war. Still, again, this book really is quite good – as a narrative alone, indeed better than the three star ranking would seem to indicate. Very much recommended.

This review of Escape From Model Land by Erica Thompson was originally written on July 15, 2022.

Posted on

#BookReview: Partial Truths by James C Zimring

Solid Exposition Of Its Premise. This book is pretty well exactly what its title says it is: an examination of cognitive biases, with fractions as the common access point to all of them. Thought of in this manner, the book is solid, though on its overall points – many political, including repeated attacks on the 45th President of the United States – your mileage will vary considerably. Indeed, on many of the issues Zimring examines, his overall consideration of the issue at hand is actually limited by his devotion to fraction-based thinking, at least within the confines of this text. Ultimately, this book is more a rare take on cognitive biases than anything truly mathematical, and the math here really is simplified such that pretty well anyone capable of reading the text itself can follow the math easily enough. The bibliography clocks in at around 20% of the overall text, which is close enough to the average of similar texts in my experience to be acceptable. Recommended.

This review of Partial Truths by James C Zimring was originally written on April 27, 2022.

Posted on

#BookReview: Making Numbers Count by Chip Heath and Karla Starr

Useful, Engaging, And Exceedingly Well Documented. As a software engineering professional who has a mathematics-related degree (Computer Science), very nearly got two others at the same time (Mathematics, Secondary Mathematics Education), spent a year in the middle school/ high school classroom, and who has been engaged in talking about politically-oriented numbers off and on for over a decade now… this is one helluva book. While I would have preferred fewer leftist-leaning number communication examples (attacks on “the 1%” and Jeff Bezos in particular are a common refrain), overall the points raised here are truly so spot-on, to the level that I personally can’t think of any better or any way to really refute them. Further, the writing style here is very engaging and written in a style that can be read straight through, referred to as a common reference guide, or even taught in chapter form via an actual class itself. For those reading straight through, this is a very quick read due to both the book’s overall brevity – barely 250 pages – and because of its exceedingly thorough documentation – clocking in at roughly 42% of the text of this Advanced Reader Copy. Very much recommended.

This review of Making Numbers Count by Chip Heath and Karla Starr was originally written on September 19, 2021.

Posted on

#BookReview: Bernoulli’s Fallacy by Aubrey Clayton

Lies, Damn Lies, and Statistics. On the one hand, if this text is true, the words often attributed to Mark Twain have likely never been more true. If this text is true, you can effectively toss out any and all probaballistic claims you’ve ever heard. Which means virtually everything about any social science (psychology, sociology, etc). The vast bulk of climate science. Indeed, most anything that cannot be repeatedly accurately measured in verifiable ways is pretty much *gone*. On the other, the claims herein could be seen as constituting yet another battle in yet another Ivory Tower world with little real-world implications at all. Indeed, one section in particular – where the author imagines a super computer trained in the ways of the opposing camp and an unknowing statistics student – could be argued as being little more than a straight up straw man attack. And it is these very points – regarding the possibility of this being little more than an Ivory Tower battle and the seeming straw man – that form part of the reasoning for the star deduction. The other two points are these: 1) Lack of bibliography. As the text repeatedly and painfully makes the point of astounding claims requiring astounding proof, the fact that this bibliography is only about 10% of this (advance reader copy, so potentially fixable before publication) copy is quite remarkable. Particularly when considering that other science books this reader has read within the last few weeks have made far less astounding claims and yet had much lengthier bibliographies. 2) There isn’t a way around this one: This is one *dense* book. I fully cop to not being able to follow *all* of the math, but the explanations seem reasonable themselves. This is simply an extremely dense book that someone that hasn’t had at least Statistics 1 in college likely won’t be able to follow at all, even as it not only proposes new systems of statistics but also follows the historical development of statistics and statistical thinking. And it is based, largely, on a paper that came out roughly when this reader was indeed *in* said Statistics 1 class in college – 2003. As to the actual mathematical arguments presented here and their validity, this reader will simply note that he has but a Bachelor of Science in Computer Science – and thus at least *some* knowledge of the field, but isn’t anywhere near being able to confirm or refute someone possessing a PhD in some Statistics-adjacent field. But as someone who reads many books across many genres and disciplines, the overall points made in this one… well, go back to the beginning of the review. If true, they are indeed earth quaking if not shattering. But one could easily see them to just as likely be just another academic war. In the end, this is a book that is indeed recommended, though one may wish to assess their own mathematical and statistical knowledge before attempting to read this polemic.

This review of Bernoulli’s Fallacy by Aubrey Clayton was originally written on April 5, 2021.

Posted on

#BookReview: The Way Out by Peter Coleman

Conflicts as Advanced Mathematics and Theoretical Astrophysics. I gotta admit, as a more “hard” science / numbers guy, when I saw that Coleman’s solution here was based in the realms of advanced mathematics and theoretical astrophysics – gravity wells, complexity theory, etc – I was astonished to see someone put into words ideas I’d long thought of in conflicts in my own life. Though the way Coleman is much more systematic and systemic about them is simply phenomenal bordering on the profound. Yes, the man is an admitted progressive and yes, some of his throw away level comments are solidly from that perspective, but if you’re of a type who would normally throw a book down in disgust just over those points alone (or if you’re the type who would do those if he were an admitted conservative making similar comments)… you’re pretty well exactly who needs to read this book anyway. 😉 Pretty spectacular, and a *needed* read pretty well right this second – I write this review at the beginning of US Presidential Inauguration Week 2021, nearly six full months before the book’s scheduled publication at the beginning of June. Something tells me the book will be at least as relevant as it currently is at that point, and you should absolutely read and strongly consider Coleman’s points as soon as you can. Very much recommended.

This review of The Way Out by Peter Coleman was originally written on January 17, 2021.