The Path to Biological Numeracy
book.bionumbers.org
book.bionumbers.org
It's not dissimilar to the general order-of-magnitude of speeds associated with various computer components (RAM, CPU, Cache, HD seek, network latency, etc.). But there are many more components in a biological system, and their interactions up and down the physical scales are sometimes not obvious.
A simple example of intuition: once you've sequence your DNA, how would you go about changing it? Which DNA? Is the 'sequence' you got back an average sequence across just those cells that were sampled? Is the DNA you would want to change both copies, in each cell, in every tissue?
Another example is running through how a PCR reaction works. The actual result of the process often trips people up the first time because it's not immediately clear that there is an infinite pool of each component in the system to permit self-reactions in later steps of the process. Once a component is used in the first part of the process, it's still there in later parts of the process.
I argue that that biological numeracy is a prerequisite (and a consequence) of having a properly scaled biological intuition. And those examples test that intuition.
It's basically chunked powers-of-ten, so two 1000x frames ("micro view" um->mm, and "nano view" nm->mm) get you down to 'atoms look like sand'. It seems to provide useful scaffolding - a place to hang some flavors of rough-quantitative knowledge. It seems to at least sometimes work nicely with bionumbers "how big is a X" searches, as "N um"-like answers permit "oh, so it's about this (tactile kinesthetic) big - so it's bigger than Y and smaller than Z and about the same size as W - hmm, so I wonder how many X's there are in a mumble - new search: 'how man X in a mumble'". But that's purely anecdotal, and from very limited experience.
There's an enormous market for pre-med/MCAT/med-school training. And surprisingly little for actually understanding biology.
As I very fuzzily recall, the bionumbers site grew out of a graduate student shifting domains, and realizing: they had little clue; they needed a rough-quantitative understanding to functionally understand and work in the domain; existing educational content didn't have that as a goal. So they started collecting numbers, and it escalated.