Council of despair

Episode Summary

Executive Summary: This episode examines how statistics can mislead without context: local government funding cuts look different depending on grant formulas, a 43-year-old David’s earnings rank changes once household income is considered, a fake correlation between phone masts and births illustrates causation errors, inflation targeting is explained as a pragmatic policy choice, and a monkey’s Ashes predictions provide a playful reminder about randomness and pattern-seeking.

Main Topics: Local government funding cuts and formula complexity (Priority: 5/5): The show explains why a 9.9% cut in grant does not equal a 9.9% cut in spending power, due to councils’ other revenues and a highly complex grant distribution formula, including damping and the role of Wokingham as the benchmark authority. Average earnings for a 43-year-old man named David (Priority: 5/5): A listener asks how his £50,000 salary compares to others. The analysis shows he is well above average on earnings alone, but closer to average when household income, taxes, and family composition are included. Correlation versus causation media hoax (Priority: 5/5): Matt Parker sends a press release claiming a strong correlation between mobile phone masts and births to demonstrate how easy it is to infer causation from unrelated correlated variables. Why the UK inflation target is around 2% (Priority: 4/5): Charles Goodhart explains the historical and practical reasons behind the inflation target: flexibility, avoidance of deflationary wage cuts, and the need for room to maneuver when interest rates hit zero. Persistent misses of the inflation target (Priority: 4/5): The discussion addresses why inflation has stayed above target, emphasizing VAT increases, volatile energy and food prices, and the Bank of England’s repeated underestimation of inflation. Monkey predictions for the Ashes (Priority: 3/5): The program revisits its earlier monkey predictor, Jack, who supposedly forecasts England’s Ashes results, using the segment to underline randomness and audience entertainment.

Key Arguments: A percentage cut in central government grant does not translate directly into the same percentage cut in councils’ spending power because councils have council tax and other income sources. The local government finance formula is so sensitive that a small change in Wokingham’s assessed need can shift tens of millions of pounds across England. Simple across-the-board cuts would disproportionately hurt authorities most reliant on government grants, which is why damping mechanisms are used. Earnings data alone can overstate or misstate how well-off someone is; household income and family circumstances materially change the picture. The 2% inflation target is a pragmatic compromise: low enough for price stability, high enough to allow wage/price adjustment and monetary policy room. Inflation misses are partly explained by tax changes and external price shocks, but the Bank’s forecasting record raises concerns about whether inflation will return to target as quickly as expected. Correlations often reflect a third variable, such as population size, rather than a causal relationship. Random pattern-seeking is a natural human tendency, which is why causation claims are often overstated in media reporting.

Data Points: Local government grant cut: 9.9% in 2011-2012; 7.3% in 2012-2013 - Government announcement on English local government funding Average spending power reduction: 4.4% - Eric Pickles’ statement in Parliament Council tax share of local government income: Around £1 in every 4 - Explaining council revenue sources Central government share of local government income: Around 75% - Explaining local government dependence on grants Number of central government grant streams: About 120 - Local government finance complexity Formula Grant total: Around £29 billion - Main grant stream for local government Wokingham grant per head: Around £125 per head - Least needy authority benchmark Hackney grant per head: Over £1,000 per head - Example of high-need authority funding Grant moved by 1% change in Wokingham assessed need: Almost £41 million - Sensitivity of the funding formula Metropolitan Police Authority change: £4.8 million increase - Example of redistribution effect from Wokingham change Hampshire change: £2.5 million reduction - Example of redistribution effect from Wokingham change Additional protection funding: £85 million this year and £14 million next year - Extra funding to reduce extreme cuts David’s salary: £50,000 a year - Listener’s earnings benchmark David’s rank among all people in work: Around the 93rd percentile / top 10% - Earnings-only comparison David’s rank among full-time working men: Around the 80th percentile - Comparison with similar workers David’s take-home income estimate: About £35,000–£36,000 a year - After taxes and council tax David’s rank by household income vs whole population: Around the 60th percentile - Family Resources Survey comparison David’s rank vs men aged 40–50 by household income: Around the 48th percentile - Age-and-gender reference group Mobile phone mast–birth correlation: 17.6 additional births per mast on average - Matt Parker’s fake press release Swansea example: 149 masts and 2,581 births - Illustrative correlation example Swindon example: 10 more masts and 178 additional births - Illustrative correlation example Inflation target band: 1% to 3% around a 2% midpoint - UK inflation target description Original inflation target: 1% to 4% with a 2.5% midpoint - Earlier RPI-based target in 1992-93 Inflation target miss duration: 11th month in a row - Recent CPI inflation data Monetary policy constraint: 0% lower bound on nominal interest rates - Reason for allowing positive inflation Ashes prediction outcome: England to win next test in Perth, Australia to win penultimate test, England to win final test; overall 3-1 England - Jack the monkey’s forecast

Pivotal Quotes: "a 9.9% fall in the government grant to lead to a 4.4% fall in average spending power" — Tim Harford / Eric Pickles context: Framing the discrepancy between grant cuts and spending power cuts "what the ASH data measures is your earnings from employment. It's only picking out one component of household incomes" — Professor Richard Dickens: Explaining why salary alone is an incomplete measure of living standards "one is causing the other. In this case, if you do think about it a little bit, the population size in all these areas controls both those variables" — Matt Parker: Explaining the fake mast-and-births correlation

Implications: Listeners should treat headline statistics carefully: formulas, household context, and underlying drivers matter more than simple percentages. For policymakers and journalists, the episode reinforces the need to distinguish correlation from causation and to explain numbers transparently.