even being out of academia for a bit, I find myself going back to some articles I had on my to-read list.

one of them was this one on shifting from a hypothesis-driven way of science to focusing on the question.

"A Critique of the Hypothesis, and a Defense of the Question, as a Framework for Experimentation" (2010)

#Science #Hypothesis #Questions #Academia

https://doi.org/10.1373/clinchem.2010.144477

#TIL a handy #RStats and ggplot2 function that would've come in handy years ago is this scales::cut_short_scale() function.

```
+ scale_y_continuous(labels = label_number(scale_cut = cut_short_scale()))
```

Using it in labels, you can automatically abbreviate large numbers with K, M, or even B. I did this manually with a fixed scaling factor of like 1000 or something. So dealing with millions always messed up my plots.

Image source: https://scales.r-lib.org/reference/label_number.html