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Economics

How wrong could America’s pollsters be?

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DESPITE POLLS being in essence tied, gamblers betting on the outcome of America’s presidential election are increasingly confident that Donald Trump, the Republican nominee, will win. Polymarket, a prediction market that has seen over $2.6bn traded on the election, gives him a two-in-three chance. Bettors are in effect gambling that polls are underestimating him for the third time in a row.

Chart: The Economist

Such an error is certainly possible. Polling averages show Kamala Harris or Mr Trump leading in each of the seven swing states by a smaller margin than a normal polling error (see chart). Democrats fear there will be a repeat of the substantial polling misses of  2016 and 2020, when Mr Trump did better than expected. But there is no guarantee that the error will be in the same direction this year: pollsters have gone to great lengths to account for previous mistakes. As The Economist’s presidential forecast quantifies, based on historical polling errors, a broad range of results are possible on election day—but polls remain the best indication of how people intend to vote.

Opinion polling works by surveying a representative sample of voters. Errors can arise in a number of ways. There is normal statistical variation, which affects all polls, especially those with a small sample size. There is the risk of last-minute swings or unexpected turnout patterns. And there is the biggest headache for pollsters—ensuring their sample is representative. Researchers work hard to do this: finding new ways of reaching voters, incentivising respondents from certain demographic groups and using “weights” to increase the relative importance of underrepresented groups.

FiveThirtyEight, a data-journalism outfit, has calculated polling averages for presidential elections going back to 1976. On average, the size of the gap between the polls’ findings and the actual margin of victory is 2.7 percentage points nationwide and 4.2 points in individual states. FiveThirtyEight currently estimates that the largest lead for either candidate in the seven swing states is just 2.0 points, for Mr Trump in Arizona.

Infamously, polls in 2016 and 2020 systematically underestimated Mr Trump’s vote, especially in battleground states. After the 2016 election, the post mortem conducted by AAPOR, a professional organisation of pollsters, pointed to a late swing towards the Republican nominee and overrepresentation of graduates in poll samples. Most firms began to weight their samples to do a better job of reflecting the education profile of voters.

In 2020 the underestimation of Mr Trump was repeated for different reasons. This time AAPOR identified non-response bias—Republican voters were less likely to respond to pollsters. One theory is that they were less likely to be at home during the covid-19 pandemic (twiddling their thumbs and responding to surveys). Another is that Republican voters distrust pollsters, which discourages them from answering surveys.

Since 2020 pollsters have been at pains to reach a representative sample. They have experimented with recruitment that appeals to certain sections of society (postcards plastered with patriotic imagery, for example) and new modes, such as text messages. It is anyone’s guess whether this will be enough to account for the Democratic bias in response rates or whether supporters of Mr Trump are still reluctant to answer polls. If the errors seen in 2020 or 2016 are repeated even to a small degree that would be disastrous for Ms Harris—she could lose all seven swing states.

Democrats aiming to soothe their anxieties may refer to a wider historical lens. It is true that there is a slight correlation between the polling error in a state at one election and the error in the next. That suggests that Mr Trump is more likely to outperform the polls than Ms Harris is. But the relationship is weak and not very useful for predicting election results. There are also plenty of plausible scenarios in which polls underestimate support for Ms Harris. For example, the errors in 2020 could have been pandemic-specific. Pollsters may have since overcorrected for them. Polls, with all their uncertainties, remain the most useful indicator of public opinion. Without them we would not be able to say with such confidence that the outcome of the election is a toss-up.

Economics

UK Has a New Prime Minister Without a General Election

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UK Has a New Prime Minister Without a General Election

On July 20, Andy Burnham has been chosen to be the next Prime Minister in UK. The appointment of a new Prime Minister in the United Kingdom often raises questions from people outside the country, especially when no nationwide election has taken place. Many wonder how a new national leader can assume office without voters casting ballots. The answer lies in the UK’s parliamentary system, where the Prime Minister is not directly elected by the public but is instead chosen based on who commands the confidence of the House of Commons.

How the UK Selects Its Prime Minister

Unlike presidential systems where citizens vote directly for the head of government, the United Kingdom elects Members of Parliament (MPs) during a general election. The political party that secures a majority of seats in the House of Commons usually forms the government, and that party selects its own leader to serve as Prime Minister.

If the leader resigns, becomes unable to continue, or is replaced by their party, the governing party can choose a new leader without triggering a general election. As long as the new leader is able to maintain the confidence of Parliament, they can immediately become Prime Minister after being formally appointed by the monarch.

Why No Election Was Required

A general election is not automatically required every time the office of Prime Minister changes hands. The governing party retains its parliamentary majority because voters elected MPs rather than an individual Prime Minister. If the ruling party chooses a new leader through its internal leadership process, the government continues to operate without interruption.

This constitutional arrangement provides stability and allows the government to continue functioning during periods of political transition. It also avoids the expense and disruption of holding a nationwide election every time party leadership changes.

The King’s Constitutional Role

After a governing party elects a new leader, the monarch invites that individual to form a government. This constitutional step is largely ceremonial and follows long-established conventions. The King appoints the person most likely to command a majority in the House of Commons, ensuring continuity of government.

Although the monarch formally appoints the Prime Minister, political power rests with Parliament and the elected representatives of the British people.

Could an Election Still Happen?

Yes. A newly appointed Prime Minister has the authority to request a general election if they believe it is politically advantageous or if they seek a stronger public mandate. Parliament can also reach a point where a government loses the confidence of the House of Commons, potentially leading to an election or the formation of a new government.

In many cases, however, a new Prime Minister continues governing until the next scheduled general election.

What This Means for the UK

The UK’s parliamentary democracy is designed to ensure government continuity while respecting the results of the most recent general election. Leadership changes within the governing party do not automatically alter the composition of Parliament, which is why a new Prime Minister can take office without another nationwide vote.

Understanding this process helps explain why political transitions in the United Kingdom can appear different from those in countries with presidential systems. While the Prime Minister may change, the democratic mandate of Parliament remains in place until voters elect a new House of Commons at the next general election.

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Economics

Global Grid Upgrades Reshape Macro Economics

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Global grid upgrades reshape macro economics

On July 21, 2026, global economic analysis shifts focus toward a defining structural macroeconomic trend: the massive expansion of public and private capital deployment into high-capacity electrical grid infrastructure. As industrial electrification, automated data center hubs, and renewable energy integration accelerate worldwide, sovereign governments and institutional investors are facing a monumental economic challenge. Updating legacy power grids to meet skyrocketing demand has emerged as a primary driver of long-term capital expenditures and industrial productivity across both developed and emerging market economies.

According to international economic policy updates released this week, grid infrastructure investments are projected to exceed multi-trillion-dollar thresholds over the coming decade. Economic planners caution that without modernized, high-voltage transmission networks, regional manufacturing sectors face severe energy bottlenecks, localized power price volatility, and operational constraints. Consequently, infrastructure spending is rapidly transitioning from passive utility maintenance into a vital component of national economic competitiveness and industrial policy.

The macroeconomic ripple effects of this capital deployment are being felt across global commodity markets and labor networks. High demand for structural industrial inputs—such as copper, aluminum, specialized electrical steel, and high-capacity transformers—has created sustained pricing support for critical material producers. Simultaneously, the specialized technical labor required to manufacture and deploy modern grid hardware is driving wage growth in industrial sectors, adding a complex new layer to central bank disinflation trajectories.

For global policymakers and strategic investors, the economics of energy grid modernization represent a double-edged sword. While massive infrastructure investment boosts short-term gross domestic product (GDP) and strengthens domestic industrial foundations, it requires disciplined fiscal allocation to prevent inflationary crowding-out of private capital. Countries that efficiently streamline grid infrastructure permitting and mobilize private investment will secure lower long-term energy costs, attracting high-tech manufacturing and reinforcing sustainable economic growth.

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Economics

Global Trade Realignment and Supply Chains in 2026

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Global Trade Realignment and Supply Chains in 2026

The international trade architecture entering the second half of 2026 is undergoing a profound structural pivot. As major sovereign economic blocs adjust to the long-term impact of unilateral tariffs and escalating regional subsidies, traditional globalized supply chains are being rapidly replaced by bilateral trade corridors and regional alliance networks. Data released in late July 2026 highlights a significant divergence: while cross-continental freight volumes between non-aligned partners have cooled, intra-regional trade throughout North America, Southeast Asia, and Eastern Europe has surged to record levels. This shift reflects a broader macroeconomic strategy wherein multinational corporations prioritize geopolitical resilience over pure cost minimization.

The primary economic catalyst behind this regionalization is the proliferation of sector-specific tariffs targeting critical industries, notably battery components, clean energy technology, and advanced semiconductor hardware. In response, global manufacturers have adopted multi-tier sourcing models that distribute production across intermediate partner nations before final assembly. While this strategy successfully bypasses primary import duties, it adds structural layers of logistical complexity and administrative oversight. Economists note that while total output remains robust, aggregate production costs have drifted upward, contributing to persistent baseline inflation across major consumer markets.

Simultaneously, currency settlement patterns within these regional blocs are experiencing a notable transformation. Sovereign central banks and commercial institutions are increasingly utilizing localized currency swap lines and digital clearing mechanisms to settle cross-border trade transactions. This transition reduces direct exposure to foreign exchange volatility and mitigates third-party liquidity constraints, further solidifying regional economic cohesion. However, for developing economies situated outside these primary trading alliances, the tightening of international trade networks presents severe challenges, restricting access to key export markets and foreign direct investment.

For corporate strategists and policy analysts navigating late 2026, success requires a thorough understanding of these emerging trade corridors. Organizations must conduct regular risk assessments of their multi-tier supplier networks, model tariff sensitivities under shifting geopolitical scenarios, and invest in real-time supply chain telemetry. As regional economic blocs strengthen their regulatory borders, supply chain agility and compliance fortitude will distinguish market leaders from vulnerable enterprises in the evolving global economy.

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