J.Peutert

[J.Peutert @peutert]

Can applying three key moneyball strategies to Government have the same Cinderella story effects that the Oakland As were able to create? An interesting article looking at how the US Government could do better with this strategy. #jsgs807fall2020ws10
https://t.co/b2ESPy4PEN

[J.Peutert @peutert]

Charts, graphs, and infographics can be incredibly helpful when breaking down data to get an idea of what it's telling you. They can also unfortunately be extremely misleading, sometimes intentionally or misinterpreted by the reader. #jsgs807fall2020ws9
https://t.co/0SVbjrP79B

[J.Peutert @peutert]

Both the 2016 and 2020 US elections struggled to have accurate predictions of how things would go. This article takes a look at how predictive analytics has its limitations and how the election in 2016 highlighted that. #jsgs807fall2020ws8
https://t.co/2wISAMDm7t

[J.Peutert @peutert]

Trying to make it as an Uber driver. #jsgs807 #simulations #ubergame

https://t.co/MpHHlHejwo via @wordpressdotcom

[J.Peutert @peutert]

One of the most common statistics we use as an indicator is GDP. This article has an interesting spin to remind us that although GDP is economically useful it doesn't necessarily indicate a country or its citizens' overall wellbeing. #jsgs807fall2020ws7
https://t.co/maQVoOxOYY

[J.Peutert @peutert]

The covid-19 scenarios released in the beginning of the pandemic was a new strategy to me. It was interesting to go through the scenarios but there was a lot of misconception around predictions vs planning for from the public. #jsgs807fall2020ws6
https://t.co/MyCkolAHzp

[J.Peutert @peutert]

First time writing any type of code and testing out thingtweet. The dew point threshold in Winnipeg was met. See https://t.co/VnyhV3fBIx #JSGS807 #IoT

[J.Peutert @peutert]

Our dew point threshold was met.

[J.Peutert @peutert]

Our dew point threshold was met.

[J.Peutert @peutert]

In our digital world there is more data being created in a single day than would have been imaginable not too long ago. Now the question becomes what do we do with it and how much of it is the public entitled to? #opendata #jsgs807fall2020ws5 https://t.co/vZfb7eRwoI

[J.Peutert @peutert]

Statistical Analysis of the University of Regina's open data of salaries over $100,000. https://t.co/EPi5xWclcN via @wordpressdotcom #JSGS807 #opendata

[J.Peutert @peutert]

Do you take the time to take polls that are used to determine public opinion on policy matters? Do you consider public polls a reliable source? A great article that covers the good, bad and ugly of polls and how that data can be used. #jsgs807fall2020ws4
https://t.co/l7UImMKFCq

[J.Peutert @peutert]

A struggle in AG is reminding people that correlation does not mean causation. People love to share the most scandalous graph that shows correlation about GMOs etc. to tell their chosen narrative. Check out this article to clear it up #jsgs807fall2020ws3
https://t.co/thkrGh2vDd

[J.Peutert @peutert]

This article shares a simple analogy of how descriptive statistics can help us to compare, but also reminds us that they are limited in the fact that we don't get the full picture behind that statistic. https://t.co/UJPcNj7tRK #jsgs807fall2020ws2 #statistics

[J.Peutert @peutert]

Check out my new blog at https://t.co/Lm043bJb89 to follow along as I progress through #JSGS807 if you are into #statistics and #publicpolicy @JSGSPP

[J.Peutert @peutert]

A warning of "bad data". In today's world of having an abundance of information at our finger tips it is becoming more and more important that we know how to sort through all this data to make informed decisions. #jsgs807fall2020ws1

https://t.co/DG1PxEhUj1

[J.Peutert @peutert]

Just joined @Twitter as part of my @JSGSPP course #JSGS807. Looking forward to great conversations around #publicpolicy which I will be tweeting about over the next few months.