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"01a0d242-7062-7108-892b-a5e8b3beb89b", "title": "It’s All Relative", "url": "https://statswithcats.net/2011/03/20/it%e2%80%99s-all-relative/", "published_at": "2011-03-20T22:53:50+00:00" }, { "id": "01a0d242-7062-7108-892b-a5e8b42d4ef6", "title": "Becoming Part of the Group", "url": "https://statswithcats.net/2011/03/13/becoming-part-of-the-group/", "published_at": "2011-03-13T20:05:16+00:00" }, { "id": "01a0d242-7062-7108-892b-a5e8b4e38f45", "title": "The Data Dozen", "url": "https://statswithcats.net/2011/03/06/the-data-dozen/", "published_at": "2011-03-06T18:56:40+00:00" }, { "id": "01a0d242-7062-7108-892b-a5e8b509bbf3", "title": "Statistics: a Remedy for Football Withdrawal", "url": "https://statswithcats.net/2011/02/27/statistics-a-remedy-for-football-withdrawal/", "published_at": "2011-02-27T21:48:35+00:00" }, { "id": "01a0d242-7062-7108-892b-a5e8b5988ba5", "title": "Six Misconceptions about Statistics You May Get From Stats 101", "url": "https://statswithcats.net/2011/02/20/six-misconceptions-about-statistics-you-may-get-from-stats-101/", "published_at": "2011-02-20T20:58:48+00:00" }, { "id": "01a0d242-7062-7108-892b-a5e8b67a4653", "title": "Consumer Guide to Statistics 101", "url": "https://statswithcats.net/2011/02/13/consumer-guide-to-statistics-101/", "published_at": "2011-02-13T19:05:12+00:00" }, { "id": "01a0d242-a7ee-73ec-b809-0ce842601359", "title": "Dealing with Dilemmas", "url": "https://statswithcats.net/2011/02/06/dealing-with-dilemmas/", "published_at": "2011-02-06T20:01:51+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18aae090758", "title": "Limits of Confusion", "url": "https://statswithcats.net/2011/01/30/limits-of-confusion/", "published_at": "2011-01-30T22:16:53+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18aae3177c6", "title": "A Picture Worth 140,000 Words", "url": "https://statswithcats.net/2011/01/22/a-picture-worth-140000-words/", "published_at": "2011-01-22T16:56:29+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18aae3c9bb8", "title": "Ockham’s Spatula", "url": "https://statswithcats.net/2011/01/16/ockham%e2%80%99s-spatula/", "published_at": "2011-01-16T16:39:48+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18aaeba0689", "title": "Grasping at Flaws", "url": "https://statswithcats.net/2011/01/08/grasping-at-flaws/", "published_at": "2011-01-09T03:22:00+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18aaee3b26b", "title": "Stats With Cats Blog: 2010 in review", "url": "https://statswithcats.net/2011/01/02/stats-with-cats-blog-2010-in-review/", "published_at": "2011-01-02T22:42:08+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18aaf268211", "title": "Live Long and Publish", "url": "https://statswithcats.net/2010/12/26/live-long-and-publish/", "published_at": "2010-12-27T04:00:04+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18aaf5a5ac0", "title": "The Santa Claus Strategy", "url": "https://statswithcats.net/2010/12/26/the-santa-claus-strategy/", "published_at": "2010-12-26T17:11:08+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18aafbd0f03", "title": "You’re Off to Be a Wizard", "url": "https://statswithcats.net/2010/12/19/you%e2%80%99re-off-to-be-a-wizard/", "published_at": "2010-12-19T15:29:16+00:00" }, { "id": "01a0d242-a7ef-7358-a036-f18ab09ad7e3", "title": "The Seeds of a Model", "url": "https://statswithcats.net/2010/12/12/the-seeds-of-a-model/", "published_at": "2010-12-12T16:19:55+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61f8b9bd77", "title": "Many Paths Lead to Models", "url": "https://statswithcats.net/2010/12/04/many-paths-lead-to-models/", "published_at": "2010-12-05T01:17:49+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61f98ab502", "title": "Secrets of Good Correlations", "url": "https://statswithcats.net/2010/11/28/secrets-of-good-correlations/", "published_at": "2010-11-28T15:24:51+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61f9f8d793", "title": "Fifty Ways to Fix your Data", "url": "https://statswithcats.net/2010/11/21/fifty-ways-to-fix-your-data/", "published_at": "2010-11-21T19:11:30+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61faf682df", "title": "You Can Lead a Boss to Data but You Can’t Make Him Think", "url": "https://statswithcats.net/2010/11/14/you-can-lead-a-boss-to-data-but-you-can%e2%80%99t-make-him-think/", "published_at": "2010-11-14T14:35:49+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61fb970067", "title": "Ten Fatal Flaws in Data Analysis", "url": "https://statswithcats.net/2010/11/07/ten-fatal-flaws-in-data-analysis/", "published_at": "2010-11-07T06:00:19+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61fbc02d06", "title": "Resurrecting the Unplanned", "url": "https://statswithcats.net/2010/10/31/resurrecting-the-unplanned/", "published_at": "2010-10-31T14:53:11+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61fc37bb45", "title": "Tales of the Unprojected", "url": "https://statswithcats.net/2010/10/24/tales-of-the-unprojected/", "published_at": "2010-10-24T20:10:34+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61fcd2c5ed", "title": "The Data Scrub", "url": "https://statswithcats.net/2010/10/17/the-data-scrub-3/", "published_at": "2010-10-17T18:34:31+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61fd8d9979", "title": "Perspectives on Objectives", "url": "https://statswithcats.net/2010/10/10/perspectives-on-objectives/", "published_at": "2010-10-10T16:49:48+00:00" }, { "id": "01a0d242-cb51-7301-a3e6-2d61fe542cd5", "title": "Assuming the Worst", "url": "https://statswithcats.net/2010/10/03/assuming-the-worst/", "published_at": "2010-10-03T16:24:52+00:00" } ] posts Claim your blog

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2026

Five Eras in the Evolution of Probability and Statistics original ↗

20 Jun 2026

The Caitlin Clark Effect original ↗

12 Jun 2026

Discover Stats with Kittens and Stats with Cats original ↗

6 Jun 2026

The Stats with Kittens Song original ↗

18 Apr 2026

Stats with Cats, 2nd Edition original ↗

2 Mar 2026

2025

Stats with Kittens original ↗

30 Oct 2025

Feeling Significance original ↗

9 Apr 2025

2023

Science and Cookies original ↗

15 Jul 2023

When Science Goes Wrong original ↗

21 Apr 2023

2022

How to Tell if a Political Poll is Legitimateoriginal ↗

14 Feb 2022

2020

A Typology of Data Relationships original ↗

19 Nov 2020

The Evolution of Data Science … As I Remember It original ↗

22 Oct 2020

PII. The Great Taboo of Data Analysis original ↗

16 Oct 2020

Anecdotes and Big Data original ↗

27 Sept 2020

WHAT ARE THE ODDS?original ↗

25 Aug 2020

WHY YOU NEED TO TAKE STATS 101 original ↗

11 Aug 2020

PROBABILITY IS SIMPLE … KINDA original ↗

1 Aug 2020

What To Look For In Data original ↗

17 Jul 2020

35 Ways Data Go Bad original ↗

11 Jul 2020

The Most Important Statistical Assumptions original ↗

6 Jul 2020

The Kibble Buffet Experiment original ↗

12 May 2020

2019

What to Look for in Data – Part 2 original ↗

27 Jan 2019

WHAT TO LOOK FOR IN DATA – PART 1 original ↗

22 Jan 2019

DARE TO COMPARE – PART 4 original ↗

14 Jan 2019

2018

DARE TO COMPARE – PART 3 original ↗

1 Dec 2018

You Need Statistics to Make Wine original ↗

6 Oct 2018

Dare to Compare – Part 2 original ↗

22 Sept 2018

Dare to Compare – Part 1 original ↗

5 Sept 2018

2017

Catalog of Models original ↗

5 Nov 2017

How to Describe Numbers original ↗

10 Sept 2017

Visualizations versus Infographics original ↗

13 May 2017

How to Analyze Text original ↗

13 Feb 2017

Top 50 Statistics Blogs And Websites on the Web original ↗

28 Jan 2017

2016

Hellbent on Measurement original ↗

28 Dec 2016

Searching for Answers original ↗

26 Sept 2016

Predict the Next President of the United States original ↗

10 Aug 2016

Regression Fantasies original ↗

15 Jul 2016

How to Write Data Analysis Reports in Six Easy Lessons original ↗

11 Jul 2016

Ten Ways Statistical Models Can Break Your Heart original ↗

23 Jun 2016

Looking for Insight through a Window original ↗

10 Jan 2016

2015

It’s Hard to be a Data-Driven Organization original ↗

22 Jul 2015

https://statswithcats.net/2015/07/19/1016/original ↗

19 Jul 2015

Share Your Career with Students original ↗

23 Feb 2015

How to Tell if Correlation Implies Causation original ↗

1 Jan 2015

2014

2014 in review original ↗

30 Dec 2014

Reading Stats with Cats original ↗

29 Dec 2014

Types and Patterns of Data Relationships original ↗

26 Dec 2014

Why You Don’t Always Get the Correlation You Expect original ↗

2 Nov 2014

O.U..T…L….I……E……..R………………..S original ↗

13 Oct 2014

Stats with Cats Blog: 2013 in review original ↗

1 Jan 2014

2013

How to Write Data Analysis Reports. Lesson 6—Get Acceptance.original ↗

22 Sept 2013

How to Write Data Analysis Reports. Lesson 5—Get It Done.original ↗

22 Sept 2013

How to Write Data Analysis Reports. Lesson 4—Get Their Attention.original ↗

21 Sept 2013

How to Write Data Analysis Reports. Lesson 3—Know Your Route.original ↗

21 Sept 2013

How to Write Data Analysis Reports. Lesson 2—Know Your Audience.original ↗

20 Sept 2013

How to Write Data Analysis Reports. Lesson 1—Know Your Content.original ↗

20 Sept 2013

What Type of Data Scientist are You?original ↗

6 May 2013

All Information is Actionable original ↗

13 Apr 2013

I Can Haz Collaboration original ↗

3 Feb 2013

2012

The Foundation of Professional Graphs original ↗

18 Aug 2012

Reports vs. Analyses original ↗

20 Jul 2012

Survey Avoidance Disorder original ↗

19 Jul 2012

The Best Super Power of All original ↗

14 Jul 2012

Infauxmocracy original ↗

27 Jun 2012

Confidence Interval original ↗

22 Feb 2012

What Does a Statistician Do original ↗

17 Feb 2012

2011

Five Things You Should Know Before Taking Statistics 101 original ↗

16 May 2011

Polls Apart original ↗

8 May 2011

Regression Fantasies: Part III original ↗

2 May 2011

Regression Fantasies: Part II original ↗

25 Apr 2011

Regression Fantasies: Part I original ↗

18 Apr 2011

Aphorisms for Data Analysts original ↗

11 Apr 2011

Getting the Right Answer original ↗

3 Apr 2011

Ten Tactics used in the War on Error original ↗

27 Mar 2011

It’s All Relative original ↗

20 Mar 2011

Becoming Part of the Group original ↗

13 Mar 2011

The Data Dozen original ↗

6 Mar 2011

Statistics: a Remedy for Football Withdrawal original ↗

27 Feb 2011

Six Misconceptions about Statistics You May Get From Stats 101 original ↗

20 Feb 2011

Consumer Guide to Statistics 101 original ↗

13 Feb 2011

Dealing with Dilemmas original ↗

6 Feb 2011

Limits of Confusion original ↗

30 Jan 2011

A Picture Worth 140,000 Words original ↗

22 Jan 2011

Ockham’s Spatula original ↗

16 Jan 2011

Grasping at Flaws original ↗

9 Jan 2011

Stats With Cats Blog: 2010 in review original ↗

2 Jan 2011

2010

Live Long and Publish original ↗

27 Dec 2010

The Santa Claus Strategy original ↗

26 Dec 2010

You’re Off to Be a Wizard original ↗

19 Dec 2010

The Seeds of a Model original ↗

12 Dec 2010

Many Paths Lead to Models original ↗

5 Dec 2010

Secrets of Good Correlations original ↗

28 Nov 2010

Fifty Ways to Fix your Data original ↗

21 Nov 2010

You Can Lead a Boss to Data but You Can’t Make Him Think original ↗

14 Nov 2010

Ten Fatal Flaws in Data Analysis original ↗

7 Nov 2010

Resurrecting the Unplanned original ↗

31 Oct 2010

Tales of the Unprojected original ↗

24 Oct 2010

The Data Scrub original ↗

17 Oct 2010

Perspectives on Objectives original ↗

10 Oct 2010

Assuming the Worst original ↗

3 Oct 2010