4 ms·
> Yet another datapoint to suggest the gp post that academia strongly correlates with dishonesty. There's no dishonesty here! They are reporting data to the s
by light_hue_1 4y ago
> Yet another datapoint to suggest the gp post that academia strongly correlates with dishonesty.
There's no dishonesty here!
They are reporting data to the standard of their community. We need to raise the level of rigor and convince people to drop the entire concept of statistically significant as meaning anything at all. This all taking far too long unfortunately.
Statisticians made a terrible terrible mistake that doomed science to this bullshit for nearly a century now. People like Pearson and Fisher had good intentions, but the language they used for their methods makes them sound too attractive. So people interpret their methods to be something they are not. We need an overhaul of teaching throughout statistics to excise this cancer now, and that's going to just be very slow.
So no. Authors are doing what they were taught, what is likely best practices in their textbook. It's just that the textbook has been wrong for far too long.
- origin_path 4y agoWilling to bet you're an academic. Hiding the fact that their textual claims don't match their data using various tricks is bog standard academic dishonesty, you see it all the time in anything social or related to public health. It's an endemic problem. Trying to blame prior generations for defining P thresholds that are "too attractive", or just doing what they were taught, instead of blaming the current authors for doing the wrong things is absurd. No textbook is telling these people to use MTurk or not to draw proper graphs!