Hafar1014
Diamond Member
- Sep 1, 2010
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So just to clarify: you're using a single paper, written about a reproducibility crisis in biomedical research, to argue that all of science, including climate science, is unreliable?
That same paper literally cautions against overinterpreting individual studies, especially in fields with small sample sizes, low signal-to-noise ratios, few replications, and high flexibility in statistical modeling, none of which apply meaningfully to climate science.
Climate science, by contrast, is a global, multi-disciplinary field grounded in massive data sets, direct observation (e.g. satellites, ice cores, temperature records), and predictive models validated across decades. The effects being measured are large, persistent, and replicated across independent lines of evidence.
And even then, you’re not citing the study’s methodology or argument, just its title and its abstract, as if that’s sufficient to dismiss an entire body of empirical work.
I appreciate the effort, but this isn't even close to a convincing application of that research. It’s a misreading, applied out of context, to support a sweeping ideological claim the author himself never makes.
If anything, your post illustrates the kind of "bias-driven interpretation" Ioannidis was warning against. So, no I'm sorry, but this doesn't work on me. I read the links provided, and I understood was what said in this one.
Also, here is a talk by Ioannidis himself (around 25:00 minutes) where he explains how many significant results can indicate flawed data. He also shows that geosciences, which includes climate science, have some of the lowest rates of such problematic findings. So, your claim about the entire field being unreliable is contradicted by the very data the author presents.
Google it yourself there are many studies. Climate change is trhe lie of the century and today no one cares about it except fir the green energy industrial complex and they are DOA today as well