I worry the impact this paper will have on public health perception which is why scrutiny on model choice is necessary. Further, there needs to be more discussion on data quality since the results are from 2020-2021 when surveillance efforts were changing in time.

@drugmonkeyblog If PIs should expect less from their trainees, should trainees expect more from their PIs? Per your blog:

@baym Something academics publicly scorn, but privately respect

@hsalis @ProfTomEllis So, akkermansia? Not sure I agree with that… obviously

@ClementYChow But the stated goal isn't to increase reproducibility, it's to aid communication, specifically during a talk

@baym Uh huh

@Celia_Sqe I've seen corresponding gmail addresses. Also, congrats!

@baym Clearly, this is why preprints matter

@wheezenfeld @_AlvinChristian Yeah, the *journal* club. Nerd!!

@reject_resubmit If these are indeed averages and not medians then the the skew/long tail of the distribution will lengthen the value, i.e., average becomes the long end. Bias in perception and not sample! Sincerely, a 7th year postdoc :-)

@neubadah I’m with you overall, but I disagree with the sentiment “coasting into” without “intention.” Moving somewhere new to take a low paying job signals intention to me regardless of competition for said job. Fewer PDs just means fewer PDs, not more committed PDs.

@baym Is that bone?

@wc_ratcliff What I find interesting is that we, by necessity, have operational definitions of these concepts, e.g., fitness = competition assay, species = ANI cutoff/gene flow, etc. With multiple definitions we can assess how fuzzy/robust these concepts are. Kinda empiricizes it

Are you an undergrad and love math modeling (or tolerate it and want to know more)? One week left to apply for the Workshop to Increase Diversity in Mathematical Modeling & Public Health! March 4-5, 2024 in Boston w/ @MIDAS_Network @CCDD_HSPH

@wc_ratcliff Really cool radio piece on the dynamics of social media spaces and why that "enshittification" might be inevitable:

@318Glenn @HenryYin19 Surely, you JS’d

@TheSquishyLab Cool work! We found similar patterns and considered multiple infections in phage-bacteria spatial models, albeit using agent based models instead of PDEs: