Welcome to the ITNS blog, our internet home designed to help students, teachers, and others get the 
most out of Introduction to the New Statistics. For more information about the book, see the publisher’s page for ITNS here. At that page, click ‘Look inside’ to see the Contents, Preface, and Chapter 1 in full.
What will you find here?
- Blog posts from Geoff and Bob with musings and new articles related to the New Statistics and Open Science
- Information about the first book, Understanding the New Statistics
- Previous versions of ESCI: Use the ‘ESCI’ tab at the top of this page
Looking for instructor resources? These are on the publisher’s companion website for the book here.
Are you a student looking to download ESCI, data sets, flashcards, or other resources? These are on the publisher’s companion website for the book here.
- eNeuro’s new push to encourage estimation - eNeuro, one of the two journals published by the Society for Neuroscience, has revised its author guidelines to encourage estimation. That's great news. Here is: The announcement and comment from editor Christophe BernardAn accompanying commentary from us that explains estimation using neuroscience examples and provides concrete examples of how it… …
- ‘Open Statistics’: It’s All Happening in Italy - I knew good things were happening at the University of Bologna this (northern) summer. Now I know the details. The brochure is here, and this is part of the title page: What do they mean by 'Open Statistics'? As I understand it, they will be discussing statistical methods needed in… …
- The New Statistics Videos: 5 Years On - This week's news email from the APS includes this interesting item: Aha, I thought, they are giving publicity to Tamara and Bob's wonderful workshop at the APS Convention last month. Great! But the link didn't go to the materials for that workshop (which you can find here--well worth a look).… …
- To Understand (or Teach) CIs, Adopt an Estimation Mindset - Update 8 June. Some minor tweaks. Addition of the full reference for two papers mentioned. Of course I would say that, wouldn't I?! It's the basis of ITNS and a new-statistics approach. But the latest issue of SERJ adds a little evidence that, maybe, supports my statement above. The article… …
- Do People Have a Binary Bias? - For years I've been working on changing my thinking--even when just musing about nothing in particular--from "I wonder whether..." to "I wonder to what extent...". It has taken a while, but now I usually do find myself thinking in terms of "How big is the effect of...?" rather than "Is… …
- A Promising Textbook? I Don’t Think So - Updated 30 May 2019. A few tweaks to the text below. I have now had a chance to have a squiz at the book itself. Bob has also seen the book and given a quick opinion. I am confirmed in my view below that, alas, the book is not a… …
- The Cookie-Monster Study: The highly influential memory of a long-lost study - In psychology, there are a few studies so famous and influential that they have proper names: The Good Samaritan Study, the Asch Obedience Study, the Marshmallow test, etc, etc. Approaching this echelon is the "Cookie Monster Study", an increasingly-famous study of social power. If you don't already know it, here's… …
- Reply to Lakens: The correctly-used p value needs an effect size and CI - Updated 5/21: fixed a typo, added a section on when p > .05 demonstrates a negligible effect, and added a figure at the end. Daniel Lakens recently posted a pre-print with a rousing defense of the much-maligned p-value: In essence, the problems we have with how p-values are used is human… …
- The TAS Articles: Geoff’s Take - Yay! I salute the editors and everyone else who toiled for more than a year to create this wonderful collection of TAS articles. Yes, let’s move to a “post p<.05 world” as quickly as we can. Much to applaud Numerous good practices are identified in multiple articles. For example: Recognise… …
- Preregistration: Why and How - Prereg Workshop at APS Steve Lindsay usefully posted a comment to draw our attention to the Preregistration Workshop on offer at the APS Convention coming up shortly in D.C.. You can scan the full list of Workshops here--there are lots of goodies on offer, including Tamara and Bob on Teaching… …
- Judging Replicability: Fiona’s repliCATS Project - Judging Replicability Whenever we read a research article we almost certainly form a judgment of its believability. To what extent is it plausible? To what extent could it be replicated? What are the chances that the findings are true? What features of the article drive our judgment? Likely influences include:… …
- APS Publicises the TAS Articles - The APS has just released this Research Spotlight item: Suddenly it's more than 5 years since APS made some important and very early steps to promote Open Science and new-statistics practices. Back in Jan 2014, then Editor-in-Chief of Psychological Science, Eric Eich, explained in an editorial a whole set of… …
- Ditching Statistical Significance: The Most Talked-About Paper Ever? - Well, that might be a stretch, but in relation to the Nature Comment that Bob and I signed to support, Altmetric tweeted: John Ioannidis published this criticism of the Comment, with the subtitle Do Not Abandon Significance. Much of what he writes is sensible, and in agreement with the Comment,… …
- Moving Beyond p < .05: The Latest - A couple of days ago, the three authors of the Nature paper accompanying the special issue of TAS on moving beyond p < .05 sent the update below. (See below for lots of links.) We are writing with a brief update on the Nature comment "Retire statistical significance" that you… …
- Moving to a World Beyond “p < 0.05” - The 43 articles in The American Statistician discussing what researchers should do in a "post p<.05" world are now online. See here for a list of them all, with links to each article. The collection starts with an editorial: Go here to get the full editorial as a pdf. Bob… …
- Ditching Statistical Significance?! - Nature (!) has just published an editorial discussing and advocating that statistical significance should be ditched. For me, that's the stuff of dreams, but I have lived to see it happen! I'm so happy! Here's one para from the editorial: The 'call for scientists to abandon statistical significance', by Valentin… …
- Microworlds - Last month I (Bob) visited a local elementary school for a "Science Alliance" visit. This is a program in our community to being local scientists into the classroom. I brought the Cartoon Network simulator I have been developing (Calin-Jageman, 2017, 2018). This simulator is simple-enough that kids can use, but… …
- The Multiverse! Dances, and More, From Pierre in Paris - Our Open Science superego tells us that we must preregister our data analysis plan, follow that plan exactly, then emphasise just those results as most believable. Death to cherry-picking! Yay! The Multiverse But one of the advantages of open data is that other folks can apply different analyses to our… …
- Joining the fractious debate over how to do science best - At the end of the month (March 2019) the American Statistical Association will publish a special issue on statistical inference "after p values". The goal of the issue is to focus on the statistical "dos" rather than statistical "don'ts". Across these articles there are some common themes, but also some… …
- Journal Articles Without p Values - Once we have a CI, a p value adds nothing, and is likely to mislead and to tempt the writer or readers to fall back into mere dichotomous decision making (boo!). So let's simply use estimation and never report p values, right? Of course, that's what we advocate in UTNS… …
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