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Nigel Marriott's Blog

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

You are here: Home / Archives for Trend extrapolation

Voice Referendum #2 – My Forecast Reviewed

November 5, 2023 By Nigel Marriott

Australians rejected the proposed constitutional amendment known as The Voice in a referendum on 14th October 2023.  NO won the national vote by 20.1 percentage points and the state count 6-0 but the more important question is was my forecast right?

[Read more…] about Voice Referendum #2 – My Forecast Reviewed

Filed Under: Elections, Forecasting Tagged With: Australia, Brexit, Election forecasting, Forecasting model, Parliament, Politics, Referendum, trend analysis, Trend extrapolation, Voice

Voice Referendum #1 – My Forecast Explained

October 13, 2023 By Nigel Marriott

Australians will reject the proposed constitutional amendment known as The Voice in a referendum on 14th October 2023.  My forecast is for NO to win the national vote by 17 percentage points and win the state count 6-0.

This article was first published on 11th October 2023.  My forecast then was for NO to win 16 points and the state count 6-0.

[Read more…] about Voice Referendum #1 – My Forecast Explained

Filed Under: Elections, Forecasting, Polling Tagged With: Australia, Brexit, Election forecasting, Forecasting model, Parliament, Politics, Referendum, trend analysis, Trend extrapolation, Voice

Pay Gap Trends #6 – Are we there yet?

May 10, 2023 By Nigel Marriott

Has 6 years of mandatory gender pay gap reporting (GPGR) made a dent in the UK’s gender pay gap?  According to a recent BBC article, not one bit at all.  Unfortunately, too many people on social media have been taken in by this misleading article and I will be submitting a formal complaint to the BBC soon to get it amended.  I rebutted this at the time with this LinkedIn post and I will now expand on that here to show what the true trend is and whether or not mandatory pay gap reporting has had an impact.

[Read more…] about Pay Gap Trends #6 – Are we there yet?

Filed Under: Diversity, Forecasting Tagged With: Gender Pay Gap, Median, ONS, pay gap trends, trend analysis, Trend extrapolation

COVID19 Cases #1 – Latest Data and Trends for England

September 27, 2020 By Nigel Marriott

Last updated on 27th September 2020 but downloadable spreadsheet in section 3a was updated on 19th October 2020.  I will update the post when I get the time!

The latest data for COVID19 (Coronavirus) cases in England as of Saturday 26th September 2020 shows the number of people testing positive for COVID19 is up 60% from a week ago but this masks extreme regional disparities that make the national trend meaningless.  The North is in the grip of a second wave unlike the South which is not.  Unless recent trends in the North abate, the scenario of 50k positive tests per day by the end of October recently postulated by the Chief Scientific Officer remains feasible.

[Read more…] about COVID19 Cases #1 – Latest Data and Trends for England

Filed Under: Forecasting Tagged With: Coronavirus, Covid19, DHSC, England, NHS, ONS, Pandemic, PHE, Presenting data, SARS-COV-2, trend analysis, Trend extrapolation

COVID19 Deaths #2 – Are Public Health England’s Figures Misleading?

July 25, 2020 By Nigel Marriott

During the first wave of the COVID19 epidemic, the daily number of deaths published by Public Health England (PHE) has been the main headline in the news.  On 17th July, Matt Hancock, Secretary of State for Health, called for a review of this time series after a blog published by Yoon Loke & Carl Heneghan of Oxford University questioned whether definition used by this time series was appropriate.  I myself had noticed a change in the PHEr time series in my tracker of COVID19 deaths in England but I hadn’t understood why this might have been the case.  After looking at the data again in more detail, I have concluded that this time series is overestimating the number of deaths by 42 +/- 13 per day since the 23rd May and it needs to be revised otherwise it will create confusion should a second wave come.

[Read more…] about COVID19 Deaths #2 – Are Public Health England’s Figures Misleading?

Filed Under: Forecasting Tagged With: Coronavirus, Covid19, CQC, England, NHS, ONS, Pandemic, PHE, Presenting data, SARS-COV-2, trend analysis, Trend extrapolation

COVID19 Deaths #1 – Latest Data and Trends for England

July 25, 2020 By Nigel Marriott

Last updated on 25th July 2020 – future updates will be infrequent.

The latest data for deaths due to COVID19 (Coronavirus) in England as of Friday 24th July 2020 show that the first wave of the pandemic is now over when one looks as excess deaths.  People will still be dying of COVID19 for weeks yet but the overall number of excess deaths is now negative.

[Read more…] about COVID19 Deaths #1 – Latest Data and Trends for England

Filed Under: Forecasting Tagged With: Coronavirus, Covid19, CQC, England, NHS, ONS, Pandemic, PHE, Presenting data, SARS-COV-2, trend analysis, Trend extrapolation

COVID19 Deaths #2H – Estimated Excess Deaths in England up to 26th June

June 28, 2020 By Nigel Marriott

In many countries across the world, the total effect of the Coronavirus pandemic is now being measured using the concept of Excess Deaths.  However, publication of such data by the Office of National Statistics for England is up to 2 weeks slower than the daily deaths published by Public Health England.  In this post, I update my model which uses the PHE series to estimate what the ONS will publish for excess deaths in England on Tuesday 30th June.

[Read more…] about COVID19 Deaths #2H – Estimated Excess Deaths in England up to 26th June

Filed Under: Forecasting Tagged With: Coronavirus, Covid19, Forecasting model, NHS, ONS, Pandemic, PHE, SARS-COV-2, Trend extrapolation

COVID19 Deaths #2G – Estimated Excess Deaths in England up to 19th June

June 21, 2020 By Nigel Marriott

In many countries across the world, the total effect of the Coronavirus pandemic is now being measured using the concept of Excess Deaths.  However, publication of such data by the Office of National Statistics for England is up to 2 weeks slower than the daily deaths published by Public Health England.  In this post, I update my model which uses the PHE series to estimate what the ONS will publish for excess deaths in England on Tuesday 23rd June.

[Read more…] about COVID19 Deaths #2G – Estimated Excess Deaths in England up to 19th June

Filed Under: Archive Tagged With: Coronavirus, Covid19, Forecasting model, NHS, ONS, Pandemic, PHE, SARS-COV-2, Trend extrapolation

COVID19 Deaths #2F – Estimated Excess Deaths in England up to 12th June

June 15, 2020 By Nigel Marriott

In many countries across the world, the total effect of the Coronavirus pandemic is now being measured using the concept of Excess Deaths.  However, publication of such data by the Office of National Statistics for England is up to 2 weeks slower than the daily deaths published by Public Health England.  In this post, I update my model which uses the PHE series to estimate what the ONS will publish for excess deaths in England on Tuesday 16th June.

[Read more…] about COVID19 Deaths #2F – Estimated Excess Deaths in England up to 12th June

Filed Under: Archive Tagged With: Coronavirus, Covid19, Forecasting model, NHS, ONS, Pandemic, PHE, SARS-COV-2, Trend extrapolation

COVID19 Deaths #2E – Estimated Excess Deaths in England up to 5th June

June 6, 2020 By Nigel Marriott

In many countries across the world, the total effect of the Coronavirus pandemic is now being measured using the concept of Excess Deaths.  However, publication of such data by the Office of National Statistics for England is up to 2 weeks slower than the daily deaths published by Public Health England.  In this post, I update my model which uses the PHE series to estimate what the ONS will publish for excess deaths in England on Tuesday 9th June.

[Read more…] about COVID19 Deaths #2E – Estimated Excess Deaths in England up to 5th June

Filed Under: Archive Tagged With: Coronavirus, Covid19, Forecasting model, NHS, ONS, Pandemic, PHE, SARS-COV-2, Trend extrapolation

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