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Nigel Marriott's Blog

An independent statistician using data to understand our world and to predict the future

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UK Economy Tracker #10 – 2022 Q3

November 16, 2022 By Nigel

UK Inflation has risen sharply since the start of 2022 and dominates the media and politics today.  It is now having knock on effects, most notably on wage rises which are lagging behind inflation.  The aftermath of the COVID19 induced recession continues to be considerable economic uncertainty.

[Read more…] about UK Economy Tracker #10 – 2022 Q3

Filed Under: Forecasting, Misc Tagged With: Economy Tracker, Presenting data, Trackers, UK Economy

UK Economy Tracker #9 – 2022 Q2

August 22, 2022 By Nigel

UK Inflation has risen sharply since the start of 2022 and dominates the media and politics today.  It is now having knock on effects, most notably on wage rises which are lagging behind inflation.  The aftermath of the COVID19 induced recession continues to be considerable economic uncertainty.

[Read more…] about UK Economy Tracker #9 – 2022 Q2

Filed Under: Forecasting, Misc Tagged With: Economy Tracker, Presenting data, Trackers, UK Economy

UK Economy Tracker #8 – 2022 Q1

May 31, 2022 By Nigel

Whilst COVID19 was ravaging the world in 2020 & 2021, I felt there was little point in updating my quarterly UK Economy Tracker.  Now the pandemic over in the UK, it’s time to see how much damage the pandemic did to the economy.  Going forward, the future is very uncertain but I hope by placing the latest data in the context of the past, I can discern what pointers I should keep an eye on.

[Read more…] about UK Economy Tracker #8 – 2022 Q1

Filed Under: Forecasting, Misc Tagged With: Economy Tracker, Presenting data, Trackers, UK Economy

Coronavirus #1 – Useful Data and Links

May 14, 2020 By Nigel

Updated on 14th May 2020.  New and modified links are italicised.

The Coronavirus Pandemic is a worldwide challenge many of us will have not experienced before.  It is natural to want to seek information on the risks and in our world today, it has never been easier to find data, analyses and opinions.  Unfortunately, a lot of what you will read out there is either unhelpful or actively misleading.  As an independent statistician with 30 years experience of explaining statistics to non-statisticians, my contribution to this crisis will be to try and sort the good from the bad hence this post. [Read more…] about Coronavirus #1 – Useful Data and Links

Filed Under: Misc Tagged With: Coronavirus, Covid19, Data journalism, data quality, Epidemic, Epidemilogy, Epidemiologist, Evidence, Imperial College, Pandemic, Presenting data, SAGE, Sampling, SARS-COV-2, Testing, UK Government, Uncertainty, WHO

Coronavirus #3 – How many people have died of COVID19 in the UK?

April 24, 2020 By Nigel

The Financial Times (FT) has estimated the true number of COVID19 related deaths in the UK as of 20th April 2020 is 42,000 not 17,000 as published by the Department of Health & Social Care (DHSC).  In this article, I show that the FT headline is incorrect and is the result of either the FT comparing apples with pears due to a misunderstanding over what the various data sets measure or the FT attempting to estimate a number that can never be verified.

[Read more…] about Coronavirus #3 – How many people have died of COVID19 in the UK?

Filed Under: Misc Tagged With: Coronavirus, Covid19, Data journalism, data quality, DHSC, NHS, ONS, Pandemic, PHE, SARS-COV-2

Coronavirus #2 – What sample size does Boris need to lift all restrictions?

April 2, 2020 By Nigel

April Fools day 2020 saw the hive mind of social media asking what the sample size should be to measure the extent of the Coronavirus in the UK.  I could see that many people responding were reaching for standard methodologies which are usually are based on specifying a desired confidence interval.  In doing so, they were overlooking a much more effective and relevant alternative based on the methodology of Acceptance Sampling, first developed by the US Military in World War 2.

[Read more…] about Coronavirus #2 – What sample size does Boris need to lift all restrictions?

Filed Under: Misc, Polling Tagged With: Acceptance Sampling, Bayes rule, Binomial Distribution, Coronavirus, Covid19, Probability, Sample size, Statistical Training

Stats in the News #3 – Did I change Bath’s Clean Air Zone plans?

July 15, 2019 By Nigel

The city of Bath is among a number of cities in the UK tasked with reducing Nitrogen Oxide (NOx) emissions.  NOx pollution is thought to contribute to poor health and the government has required clean air plans from the relevant local authorities to be in place before 2021.  I had no idea that this would result in my statistical expertise being needed to answer a political row over the BathBreathes2021 plans to charge cars driving into Bath and you can read my report to see what my answer was!

[Read more…] about Stats in the News #3 – Did I change Bath’s Clean Air Zone plans?

Filed Under: Forecasting, Misc Tagged With: BathBreathe2021, Evidence, Expert Witness, Forecasting model, Pollution, Spatial Statistics

The Fat Tail of Kim Kardashian

July 20, 2018 By Nigel

Which is the odd one out from the 3 figures shown below?  All are the average number of Americans to die each year from these causes.

  • A – 69 from Lawnmowers
  • B – 31 from Lightning
  • C – 9 from Islamic Terrorists

Do think about your answer before you read on!

[Read more…] about The Fat Tail of Kim Kardashian

Filed Under: Misc, Stats Training Tagged With: Data journalism, Fat Tails, Risk, Risk Communication

Stats in the News #2 – Who reads fake news?

April 15, 2017 By Nigel

Fake news has entered the political dictionary over the last year.  Suddenly, politicians and commentators are worried that elections are being influenced by false stories being circulated that appear to be genuine.  Social media platforms are under pressure to filter out such stories raising the old questions of censorship and “who guards the guards?”  However, evidence on the extent and influence of fake news is thin on the ground.

A recent article from the BBC website “The rise of left wing, anti-Trump fake news” has provided some firmer evidence which I think makes a good case study for my evidence hierarchy or circle.

[Read more…] about Stats in the News #2 – Who reads fake news?

Filed Under: Misc Tagged With: Evidence, Evidence Hierarchy, Fake news, Stats in the news

Stats in the News #1 – Science & Technology March 2017

March 25, 2017 By Nigel

Welcome to my first post where I put my Evidence Hierarchy or Circle into practice and show you what is behind the headline.

Today I am concentrating on science and technology related articles from the BBC website since that is accessible to nearly everyone.  As always, I am critiquing the article more than the research since I have not read the research papers that motivated the article.  The 3 articles are:

  1. “Fruit shaped sensor can improve freshness“.
  2. “Robots to affect up to 30% of jobs“
  3. “Dinosaurs may have UK origin“

[Read more…] about Stats in the News #1 – Science & Technology March 2017

Filed Under: Misc Tagged With: Data journalism, Evidence, Evidence Hierarchy, Stats in the news

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