I have seen that too. Probably because most people collect data and so know it's hard but often I hear people say modelling and programming is easy for us. I don't know why they say that as it's the same group who don't think it's easy when they have to do it.
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Replying to @o_guest @shravanvasishth
Both are hard, but experiments are riskier: you can spend years breeding and training animals and end up with nothing at all, not even an uninteresting or null result. It would take spectacularly bad planning for that to happen while modeling.
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Replying to @prokraustinator @shravanvasishth
I don't understand what you all mean when you say this, so I have at least 4 modeling projects over the past decade which are unpublished, some unpublishable. And I know many modelers in similar situations.
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Replying to @o_guest @shravanvasishth
I spent a year and a half training a monkey to perform a fairly complicated behavioral task. It died (of unrelated natural causes) before I had collected more than a handful of cells.
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That’s much different, IMHO, from working on something for a while, deciding its uninteresting, and moving on.
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Replying to @prokraustinator @shravanvasishth
I didn't say it's uninteresting. I said I can't publish it. Anyway, I don't understand why we have to talk like data collection is harder, riskier, etc. I don't think it's a comparison that makes sense.
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Replying to @o_guest @shravanvasishth
It’s not a total order or contest. I’m trying to explain why experimentalists are often a bit...protective of data—it feels like there’s a lot more room for things to go randomly and catastrophically wrong at any moment, wiping out all our effort so far.
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It would take years and $$$ to recover from a few TB bacteria in the animal house. OTOH, barring a worldwide collapse, I can reboot all of our analysis and modeling stuff with a ‘git clone’ and a coffee.
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Replying to @prokraustinator @shravanvasishth
Recovering code isn't the same as recovering computational experiments nor the same as publishing them. All I asked is why people think modelers are harming you, it's not zero sum AFAIK, when it's modelers who are at a disadvantage in terms of authorship and recognition?
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Why do non-modelling people feel the need for example to tell me that modelling is easy? When they are probably from the same group who say modelling is hard? Why? I don't say anything is easy about data collection.
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Also debugging and designing complex code isn't easy...
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