[FRIAM] What Is the Real Coronavirus Toll in Each State? - The New York Times
thompnickson2 at gmail.com
thompnickson2 at gmail.com
Fri May 8 11:51:28 EDT 2020
“Who’s that crossing my bridge!”
“tiz I, the littlest Billy Goat Gruff!”
Nick
From: Friam <friam-bounces at redfish.com> On Behalf Of Steven A Smith
Sent: Friday, May 8, 2020 9:46 AM
To: friam at redfish.com
Subject: Re: [FRIAM] What Is the Real Coronavirus Toll in Each State? - The New York Times
Glen,
I think your "spam" is very meaty and I hope you will keep it coming.
But these words,
pornographic evocation of our love for *metaphor* will only mislead us.
… now them’s, fightin’ words!
You old troll, you,
Nick
"Get off my lawn!" <shakes tiny fist> (metaphorically of course)
Nicholas Thompson
Emeritus Professor of Ethology and Psychology
Clark University
ThompNickSon2 at gmail.com <mailto:ThompNickSon2 at gmail.com>
https://wordpress.clarku.edu/nthompson/
-----Original Message-----
From: Friam <mailto:friam-bounces at redfish.com> <friam-bounces at redfish.com> On Behalf Of u?l? ?
Sent: Friday, May 8, 2020 9:11 AM
To: FriAM <mailto:friam at redfish.com> <friam at redfish.com>
Subject: Re: [FRIAM] What Is the Real Coronavirus Toll in Each State? - The New York Times
I disagree, of course. >8^D I think dividing out population and area are a misguiding distraction. The simple slopes are better. As we've discussed ad nauseum, these "normalizers" are *also* models. And all models are always wrong. So, for every derivation, you're stacking wrongness upon wrongness. If you're super careful, the stacks of wrongness *might* help you see some aspect of the situation better. But by "super careful", I mean *professional* modeling ... something that costs a lot of time, money, attention, and skill.
Our fondness for blinky lights, bells and whistles, pornographic evocation of our love for *metaphor* will only mislead us. Data first, metaphor second (or better yet, never).
On 5/8/20 8:03 AM, Steven A Smith wrote:
> Very interesting view on these three counties... numbers normalized to population count and population density are a "good start"!
--
☣ uǝlƃ
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