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#11: Is Christmas really coming earlier every year? Dr. Nathan Cunningham

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Treść dostarczona przez Niall Farrell. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Niall Farrell lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Welcome to the Christmas Special part 2. Don't forget to check out part one if you haven't already.


This is another fun chat about a very important topic – is Christmas really coming earlier every year? This is strictly speaking a statistics question but I think its one listeners of the podcast will find very interesting. I am joined by Nathan Cunningham, statistician and data scientist, who has just completed his PhD in statistics at Warwick University. In his spare time, Nathan uses the complicated statistical methods from his day job to shed some light on some of life's often overlooked, but nonetheless important, questions.


We discuss Nathan's study, which has received a lot of media attention in recent years (especially around the festive period). We discuss the methods involved and whether or not Nathan finds that Christmas is coming earlier or whether it is all in our imagination. There is something here for everyone – the data nerds will love to hear how he answers the question and, if you’re like me, you’ll also be dying to hear whether there is indeed a creep to the festive start time.


We touch on some of the other topics Nathan has covered in his spare time, including the point at which the 'golden age' of the Simpsons ended. I highly recommend checking out Nathan's blog at http://www.nathancunn.com.


If you enjoyed this episode, leave a review on itunes and tag us on Twitter or Instagram @IrishEconPod! Thanks for all the support and I hope you have a very Happy Christmas!



Hosted on Acast. See acast.com/privacy for more information.

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Artwork
iconUdostępnij
 
Manage episode 248165635 series 2543556
Treść dostarczona przez Niall Farrell. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Niall Farrell lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Welcome to the Christmas Special part 2. Don't forget to check out part one if you haven't already.


This is another fun chat about a very important topic – is Christmas really coming earlier every year? This is strictly speaking a statistics question but I think its one listeners of the podcast will find very interesting. I am joined by Nathan Cunningham, statistician and data scientist, who has just completed his PhD in statistics at Warwick University. In his spare time, Nathan uses the complicated statistical methods from his day job to shed some light on some of life's often overlooked, but nonetheless important, questions.


We discuss Nathan's study, which has received a lot of media attention in recent years (especially around the festive period). We discuss the methods involved and whether or not Nathan finds that Christmas is coming earlier or whether it is all in our imagination. There is something here for everyone – the data nerds will love to hear how he answers the question and, if you’re like me, you’ll also be dying to hear whether there is indeed a creep to the festive start time.


We touch on some of the other topics Nathan has covered in his spare time, including the point at which the 'golden age' of the Simpsons ended. I highly recommend checking out Nathan's blog at http://www.nathancunn.com.


If you enjoyed this episode, leave a review on itunes and tag us on Twitter or Instagram @IrishEconPod! Thanks for all the support and I hope you have a very Happy Christmas!



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

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