Ooh, this looks like part of my Personal Expertise: "Modeling Life on Mars" by Erica Dietlein (@ericadietlein) is my next #SoCIA18 talk!
Begins with some fun paradoelia (sp?) examples - humans seeing patterns where there are none.
Which leads, of course, to the Canals of Mars. Original Italian "canali" can mean Canal or Channel (natural or artificial).
And lo, we see patterns in Mars rocks that maybe look like life-related patterns in rocks on Earth.
So when we talk "Earth Analogues" as models, we mean ~geological features on Earth that resemble features on other Earth-like planets, which we use to enhance our understanding of the other planet's structures/processes.
These can be plenty useful in abiotic cases, but dangerous once you start looking for life. Is Mars an appropriate target for these kinds of analogies at all? Do we really understand what Earth Analogues *are*?
EAs are models from historical sciences (sciences that explain past events using traces left behind, e.g. evolutionary biology, many Earth sciences). All EAs entail this.
Unlike other scientific models (e.g. animal models), these aren't experimentally testable.
In historical science explanations, variables are interdependent & hard to separate, so you have to try to wrap your head around the nature of those dependencies. Unlike constructed analogues (e.g. simulated space missions) or testable models (e.g. animals).
To understand the (any) model, you need to understand the relationship between its variables. To translate: you need to know which part of the model is interesting/relevant, and which parts are like/unlike the thing being modeled!
Forex, why is this Mars rock being compared to this particular Earth rock? Sure, it looks like the comparison-rock, but you need to really explain/understand why that's your comparison.
Otherwise you're just rock-matching, and drawing meaningless parallels. "Mars Rock A looks like Earth Rock B." is not interesting if all you've done is find a visually similar picture.
P.S. The correct word is pareidolia.
I think my "You need to know which part of the model is interesting/relevant, and which parts are like/unlike the thing being modeled" is the key.

It's akin to post-hoc hypotheses in science: whatever data you have, you can find SOME hypothesis to fit them.
Additional worry: expertise makes us want to apply it everywhere. (To a hammer, every problem etc.) Which just makes this problem happen more often.
This talk was not about the kind of analogues I was thinking, but that's ok, it just means it wasn't actually in my expertise-zone!
And now, lunch break. Back around 1:30 Nevada time.
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More from @BenCKinney

Aug 13, 2018
Handedness comes in two groups, "right handed" and "not right handed." Most people use their right hands for almost all precision movement, but the other group is a broad spectrum from weakly-right to strongly-left. baen.com/handedness
The way we describe and define handedness creates the effect @CStuartHardwick rightly notices. Culture defines how we talk about it - but the behavior is mostly genetic. The % of righties has remained constant across continents and milennia.
Hand dominance is a more squirrelly thing than most people realize. For example, righties are better at *some* things with their left hand... and *some* of these asymmetries flip in lefties. Take a few minutes on #LeftHandersDay to learn more!
Read 4 tweets
Aug 8, 2018
Quick heads up on the #BlackSpecFic report: the story counts for @escapepodcast @Pseudopod_org and @PodCastle_org are incomplete, and revisions will be forthcoming.
But you should read and learn from the #BlackSpecFic report anyways! The missing data is due to idiosyncrasies of the @EAPodcasts model, and has no impact on any other magazine's numbers.
Long story short, we treat reprints very differently from other magazines. For @escapepodcast specifically, they were ~45% of our 2017 stories, and our editorial process has one unified pipeline for originals + reprints together.
Read 4 tweets
Jul 23, 2018
Regretting organizing my two Worldcon panels this year. It means I'm not free to throw up my hands in frustration and give up on programming. The last 24hrs have been the last worst icing on a bad cake that's long been baking.
I mean, my panels will be awesome. But if you're skipping programming because you don't trust the con, you've made a sensible choice.
There are always more people who want to be on programming than can fit. There's no way to make everyone happy. I get that. But this weekend's screwups come in the context of a long chain of trust-erosion.
Read 4 tweets
Jul 13, 2018
So glad this one came out! "After Midnight at the Zap Stop" by @ouranosaurus is an awesome story - full of late-night grease, and the luckless & the worthy. But also because it's a #neuroscience teaching opportunity. Might even be a #NeuroThursday!
One offhand line explains a technology as "stimulating a particular set of mirror neurons." Which works as a story element just fine. It sounds plausible and authoritative! But as a neuroscientist, I have strong opinions about #mirrorneurons. I don't think they're real.
To be clear, mine is a controversial opinion. Many neuroscientists would disagree. But it's a hill I'm willing to fight on, especially given how often "mirror neurons" crop up in popular science.
Read 14 tweets
Jul 8, 2018
This Lindsey Sterling + Evanescence concert has been going for 3 minutes and it is already amazing.
Update: she is simultaneously dancing, playing violin, and kicking skeletons.
P.S. She too is a skeleton. Hard to be sure at this distance but I believe she has glittery bones.
Read 14 tweets
Jul 4, 2018
This phenomenon - when you look away from a moving thing, and you briefly see illusory motion in the other direction - is the "Motion Aftereffect," and it comes from some very basic brain maneuvers. Who wants to join me on going full #NeuroThursday here? en.wikipedia.org/wiki/Motion_af…
Most neurons in the brain (and elsewhere) do this thing called "adaptation," where they accept whatever's going on as the new normal. For example, if you sit down with your laptop on your lap, you'll soon stop noticing the weight.
This can arise from the crudest single-cell level: some ion channels in the cell membrane have negative feedback loops that self-dampen.
Read 14 tweets

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