A Positive New Report Raises the Question: Was Reeves Undermined by Dodgy Data?

 A Positive New Report Raises the Question: Was Reeves Undermined by Dodgy Data?

## Introduction: The Ghost in the Machine

Imagine steering a ship through a storm, only to discover later that your compass was broken. You made the hard calls—cutting ballast, changing course, asking the crew to pull double duty—based on readings that weren't just slightly off, but fundamentally wrong. That's the uncomfortable position Rachel Reeves may now find herself in.

A remarkable new assessment from the Centre for Economic Performance at the London School of Economics suggests the UK's productivity—the critical measure of economic strength—may have been systematically underestimated. Instead of stagnation, the report points to a "meaningful pickup" in productivity since mid-2024, with annual growth of about **1.6%** —up from an average of just 0.3% in the previous decade.

The question that haunts this revelation is simple but devastating: was Rachel Reeves undermined by dodgy data?

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## The Story That Wasn't Told

When Labour came to power, the narrative was already written. Britain was an economy in decline, beset by intractable long-term challenges. Productivity—how much output each worker produces—had been stuck in the mud since the 2008 financial crisis. The Office for Budget Responsibility (OBR) had downgraded its productivity projections from 1.3% annual growth to just 1%. The gloomy sense was that Labour was overseeing an economy that simply couldn't grow.

Reeves spent months scrambling to respond. The downgrade contributed to the size of the tax grab she needed to make in last year's budget. It forced her to raise taxes significantly last autumn to rebuild headroom against her fiscal rules and pay for Labour's welfare U-turn. It shaped her entire economic strategy.

But what if the data was wrong?

The LSE report paints a markedly different picture. Productivity is defined as how much output each worker produces. But the UK has been botching the job of sizing up the workforce for years. The beleaguered Office for National Statistics (ONS) withdrew the status of accredited official statistic from its Labour Force Survey (LFS) in 2024 as it struggled with plunging response rates. The data Reeves and the OBR relied on was, to put it bluntly, unreliable.

Instead of using the LFS, the LSE authors—including former Reeves advisers John Van Reenen and Anna Valero—used estimates from the Resolution Foundation thinktank. Their approach relies on an alternative dataset published by the ONS, based on what companies tell the tax authorities through the PAYE system.

The differences are staggering.

While the LFS records a **377,000 increase** in the number of employees since mid-2024, the tax-based measure shows a **decline of 133,000**. That's a gap of more than half a million people. The ONS doesn't seem to know who is working in Britain. And if it doesn't know who is working, it certainly can't accurately measure productivity.

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## The Real Scandal: Britain's Broken Statistics

This isn't the first time the ONS has had problems. The organisation has been plagued by issues for years:

- **2024:** The LFS was stripped of its accredited official statistic status due to plunging response rates.

- **2025:** The ONS admitted its estimates of public borrowing had been out by £200m-£500m a month since January.

- **2025:** A VAT error overstated government borrowing figures, giving Reeves an extra £2bn in budget headroom.

- **2026:** The ONS found errors in the price indices it uses to calculate GDP.

- **2026:** TD Securities argued that the ONS may be mis-measuring seasonal patterns in UK GDP, potentially overstating reported Q1 growth by as much as **0.25 percentage points**.

The pattern is clear. Britain's official statistics have been riddled with errors, inconsistencies, and methodological problems. The data that policymakers rely on to make trillion-pound decisions has been fundamentally unreliable.

But the productivity miscalculation may be the most consequential of all.

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## The Price of Bad Data

Why does productivity matter so much? Because it's the engine of long-term economic growth. Weaker productivity means weaker growth, which broadly translates to lower tax revenues and a bigger public deficit.

The OBR's productivity downgrade didn't reflect anything Labour had done. It resulted instead from the long-term failure of productivity growth to bounce back after the 2008 financial crisis. But the downgrade became pivotal because Reeves had left herself so little room for manoeuvre. Her self-imposed fiscal rules—borrowing only for investment and getting debt falling—meant that even a small change in the OBR's projections could trigger a major policy response.

So Reeves raised taxes. She increased employer national insurance contributions. She made difficult choices that shaped her political legacy. All based on data that may have been fundamentally wrong.

As Reeves returns to the back benches this autumn, she could be excused for feeling her challenges at No 11 were exacerbated by dodgy data.

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## The Human Cost

There's a human dimension to this that the numbers don't capture.

Reeves was the first woman to serve as Chancellor of the Exchequer. She was a symbol of fiscal competence in a party that had spent years being caricatured as economically irresponsible. She had left herself virtually no room for error, believing she had to prove Labour could be trusted with the nation's finances.

The productivity downgrade forced her to raise taxes in ways that were politically damaging and economically controversial. It contributed to a "gloomy sense that Labour was overseeing an economy beset by intractable long-term challenges". It made her appear less competent than she actually was.

If the LSE's new estimates are correct—if productivity has been growing at 1.6% rather than 1%—then the entire foundation of Labour's economic narrative was built on sand. The gloom wasn't real. The constraints were artificial. The tax rises may have been unnecessary.

That doesn't mean Reeves was a perfect Chancellor. There were real problems with her economic strategy. But she was operating with a broken compass. The data she relied on to navigate the storm was systematically misleading.

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## The Bigger Picture: A Crisis of Trust

The UK's statistical system is in crisis. The ONS has been struggling for years with falling response rates, methodological problems, and a reputation for unreliability. The productivity miscalculation is just the latest example of a deeper institutional failure.

The LSE report has emphasised the urgent need to appoint a new national statistician. The position has been vacant, and the lack of leadership has allowed problems to fester. The UK needs someone who can rebuild trust in the statistics that underpin the entire economy.

But even that may not be enough. The problems with the LFS are structural. With response rates plummeting, the ONS simply can't get an accurate picture of the workforce. The alternative PAYE-based measure produces wildly different results. Unless the ONS can find a way to fix its data collection methods, the UK will continue to be flying blind.

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## What This Means

For British voters, the productivity miscalculation raises uncomfortable questions. How many other policy decisions have been based on dodgy data? How many other aspects of the UK's economic performance have been systematically underestimated? How much of the gloom that has defined the past few years was manufactured by statistical errors?

The LSE report suggests that the UK's economic story may be more positive than anyone realised. Instead of stagnation, there has been a "meaningful pickup" in productivity. The economy may be stronger than the official numbers suggested. The constraints that shaped Labour's fiscal strategy may have been less binding than they appeared.

But the damage has been done. Reeves raised taxes based on the downgraded numbers. The public is more pessimistic about the economy than they should be. And the credibility of Britain's statistical system has been damaged.

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## Frequently Asked Questions (FAQs)

### 1. What was the productivity downgrade that affected Rachel Reeves?

The Office for Budget Responsibility downgraded its productivity growth projections from 1.3% annual growth to 1%. This meant weaker growth, lower tax revenues, and a bigger public deficit. The downgrade contributed to the gloomy economic narrative and forced Reeves to raise taxes to rebuild her fiscal headroom.

### 2. What does the new LSE report say about UK productivity?

The LSE's Centre for Economic Performance has found that UK productivity may have been systematically underestimated. Instead of stagnation, the report points to a "meaningful pickup" in productivity since mid-2024, with annual growth of about 1.6%—up from an average of 0.3% in the previous decade.

### 3. Why has UK productivity data been unreliable?

The Office for National Statistics has struggled with plunging response rates for its Labour Force Survey (LFS), which measures employment. In 2024, the LFS was stripped of its accredited official statistic status. An alternative tax-based measure produces dramatically different results, with a gap of more than 500,000 employees between the two datasets.

### 4. What is the difference between the LFS and the PAYE-based measure?

The LFS records a **377,000 increase** in the number of employees since mid-2024. The tax-based PAYE measure shows a **decline of 133,000**. This massive discrepancy—more than half a million people—means the ONS doesn't know who is working in Britain, making accurate productivity measurement impossible.

### 5. Was Rachel Reeves undermined by bad data?

Heather Stewart's article raises exactly this question. The productivity downgrade that forced Reeves to raise taxes was based on unreliable LFS data. If the LSE's new estimates are correct, the gloom that shaped Labour's economic strategy may have been artificial. Reeves could be excused for feeling her challenges at No 11 were exacerbated by dodgy data.

### 6. What needs to happen to fix UK statistics?

The LSE report emphasises the urgent need to appoint a national statistician. The position has been vacant, and the lack of leadership has allowed problems to fester. The UK also needs to find a way to fix its data collection methods, particularly for the Labour Force Survey.

### 7. Could the UK economy be stronger than official numbers show?

Yes. The LSE report suggests that productivity—a critical measure of economic strength—may have been systematically underestimated. If productivity has been growing at 1.6% rather than 1%, the UK economy is stronger than the official narrative suggested.

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## Conclusion: The Compass Was Broken

The story of Rachel Reeves and the productivity downgrade is a cautionary tale about the dangers of governing with broken data.

Reeves made her decisions in good faith, believing the OBR's projections were accurate. She raised taxes, imposed fiscal discipline, and tried to prove Labour could be trusted with the economy. All based on numbers that may have been systematically wrong.

The LSE's new assessment is a reminder that the UK's statistical system is in crisis. When the ONS can't measure the workforce accurately, it can't measure productivity accurately. When it can't measure productivity accurately, it can't provide a reliable foundation for economic policy. The result is a system where policymakers are flying blind, making decisions based on data that is fundamentally unreliable.

For Reeves, the damage is done. She has returned to the back benches, and her legacy is already being written. But the question that Heather Stewart has raised—"was Reeves undermined by dodgy data?"—deserves an answer. The evidence suggests she was.

The UK needs to fix its statistics. It needs a national statistician who can rebuild trust. It needs to find a way to measure the workforce accurately. And it needs to ensure that future Chancellors aren't making trillion-pound decisions based on data that is fundamentally unreliable.

Because a compass that doesn't work isn't just useless. It's dangerous.

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## Disclaimer

*This article is for informational and educational purposes only and does not constitute financial, investment, tax, or legal advice. All views expressed are based on the analysis of publicly available information, including the Guardian article by Heather Stewart, the LSE report, and other cited sources. Economic data, statistical methods, and policy decisions are subject to change. The views expressed in this article are those of the author and do not necessarily reflect the views of the Guardian, the London School of Economics, the Office for National Statistics, or any other entity mentioned. Before making any financial or investment decisions based on the content of this article, please consult with qualified professionals who can evaluate your specific situation.*