Interesting and informative. Mr. Ackley inadvertently demonstrates The need for another critical human intervention to reduce the spread of infection: he touches his nose and face at least 20 times during this video.
Fantastic work! The whole presentation was brilliant and to end with the R-not was the icing on the cake. Keep these videos coming, there's a lot to learn from them. Thank you!
Can you model in that people change their behaviour only when the treat becomes visible to them? For example, today I realized that I probably only going to start wearing a mask when I see at least 10% of other people wear a mask.
Could add like 'Masked' types and work on rules for how they are created and how others react to them. Hard part is trying to keep it relatively simple.
Nice and informative demonstration of the effects and especially the goal of prevention measures. Even if it might not be accurate considering covid19 it shows that every small change in behaviour can have a big impact overall!
Flattening the curve is good, but inversely, you are also _elongating_ the curve by doing so. Even in your simulation where almost every single person became infected at some point, it only halved the deaths. So if that flattened curve were twice as long (if it were more realistic), there would have been no difference in deaths. Moreover, it's possible to have _more deaths_ from a flatter curve. Great video!
It's always very interesting to see how well your language helps in better understand and simulate real life!
Really love these demos. Thanks!
Interesting and informative. Mr. Ackley inadvertently demonstrates The need for another critical human intervention to reduce the spread of infection: he touches his nose and face at least 20 times during this video.
Yeah, it's tough. I put all the cast and crew at risk.
Dave - get a pair of disposal gloves
Fantastic work! The whole presentation was brilliant and to end with the R-not was the icing on the cake. Keep these videos coming, there's a lot to learn from them.
Thank you!
Thanks!
Awesome to see you back! Very well explained
Thanks! Been too long!
Hi Prof. Ackley, great video. Sharing on social media!
Thanks for the boost!
@@DaveAckley we're all boosting. Do you have your model available for playing with while we're all stuck at home waiting for the world to be a mess?
Hey @@marlowweston5625 ! Code's at github.com/DaveAckley/SPLATTheCurve !
Thank you! That's the best name for a repo.
"you R naught" HA
hi
5 months later
it's bad
Can you model in that people change their behaviour only when the treat becomes visible to them? For example, today I realized that I probably only going to start wearing a mask when I see at least 10% of other people wear a mask.
Masks don't stop you from getting an airborne virus. Tho they lessen the chance of you spreading the disease if u're coughing.
Could add like 'Masked' types and work on rules for how they are created and how others react to them. Hard part is trying to keep it relatively simple.
Hi professor Ackley great video, sharing to signal boost
Hey Sean thanks!
Nice and informative demonstration of the effects and especially the goal of prevention measures. Even if it might not be accurate considering covid19 it shows that every small change in behaviour can have a big impact overall!
R0 is destiny.
Very interesting, thank you Dave :-)
For an alternative version where the code is perhaps a little easier to understand: th-cam.com/video/YD4XmoH64wo/w-d-xo.html
Flattening the curve is good, but inversely, you are also _elongating_ the curve by doing so. Even in your simulation where almost every single person became infected at some point, it only halved the deaths. So if that flattened curve were twice as long (if it were more realistic), there would have been no difference in deaths. Moreover, it's possible to have _more deaths_ from a flatter curve. Great video!
Sounds like hes getting a dry cough
Will see what develops.