What is epidemiology (in ~ 7 minutes)

EXCITED to have my second science communication video out today!

This was a collaboration with ASU’s Risk Innovation Lab, as I co-wrote the script with Dr. Maynard. In addition, I used the great video making setup in the lab’s facilities (instead of suffering in my own home with a small unstable whiteboard and terrible lighting).


The Process. To produce such videos, you first need a good to-the-point succinct script. This is the toughest part for me personally. Once you have that, you need to create the drawings to go along (I enjoy this part the most, though that’s not the case for everyone). Then you’re ready to film!

If you have professional lighting equipment, great camera, and a sturdy whiteboard, you can do it in < 2 hrs, which is how long it took me  (my first video took much much longer- in fact I had to re-record sections on the next day). This part is probably the most tedious and frustratingРfor one, try writing in a straight line and with good enough handwriting!! Then you have to record the voiceover- so, read the script you wrote. This can take many tries, but it seems like the simplest part to me!

Finally, you need to edit the video- so, take your recordings and synchronize them so that the images go with the script perfectly. This is not as horrible as you might imagine (iMovie makes it straightforward), but it does take some time. Overall, this video took me about 7 hours to make. My previous one (HERE) took about 16!!

I am very happy with this work (especially the epi detective with a sizable mustache), but I wonder about one element. Originally, I wrote the p-value explanation a bit longer. We then shortened it, but I am curious which version does a better job explaining the concept. Here’s the first writeup:

One standard practice in analyzing data is to look at the P-VLUE (or probability value) to determine if the findings are true or are simply due to chance.

For this, a p-value cut off is set at 0.05: this means that the probability of findings being caused by random chance is 5% or less. P-values above this 0.05 threshold, meaning the probability of chance findings is more than 5%, are considered NOT statistically significant.

In other words: researchers across various scientific fields have arbitrarily decided that out of 100 findings, they are comfortable accepting that 5 of those will actually not be true but will be caused by random variations. And this amount of error is the most they are willing to accept (thus the 0.05 cutoff value).

So, which explanation leaves a non-expert with a better understanding (in the video, it starts at 4:13)? Let me know if you have an opinion, because I honestly can’t tell which is more effective.


Online Health Wars: Science vs. Public

Since my research includes asking questions about why people think what they do about health, I spent a lot of time reading various discussion boards and comment sections on different health topics. In the last several days I’ve had such an overload of insane online discussions about vaccines, GMOs, and diets that I almost want to quit… 10559827_1659644964260681_5735123775899498101_nAnd yet the often entertaining arguments keep me coming back! The science folks vs. lay folks debates are also interesting since I am myself an ex anti-science alternative health believer who has now “switched sides” on many issues (or as I prefer/hope to think: turned much more moderate in my views based on understanding scientific evidence better).

Have you ever seen a conversation between a “concerned mom/dad who follow their gut” and a “science proponent with experience in the lab” discussing vaccinations? It is sad and funny as you see things like these:

– science person providing links to peer-reviewed literature (really just abstracts, folks can’t access the full text most of the time), questioning¬†parent’s credentials, attempting to explain herd immunity, claiming they lack understanding of science and suggesting to take an into to epidemiology course, blaming them for increasing rates of preventable disease…and as last resorting to calling them stupid, biased, etc.

concerned parent shares links to blogs and anti-vaccine websites, calls the science person’s degree “useless”, emphasizes their credentials as a parent who “just knows” and does their research (via blogs and specific sites), and very often attacks the science guy/girl as being paid by Monsanto or FDA, being dogmatic and inflexible as their degree was provided by corrupt institutions, being stupid, etc.

10420359_1508161656068484_512410907058098671_nNobody ever appears to switch sides, understand where the other person is coming from, or take their evidence seriously. The process of reading such conversations is often sadly hilarious yet less often informative. But most importantly it shows people’s biases.

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