UnHerd69%

Andy Burnham will take Britain backwards on AI 81%

By Peter Franklin0%

7/3/2026, 12:00:51 PM

BS Summary: This article contains 32 faulty reasoning types, including Negativity Bias, Optimism Bias, and Unattributed Quote, with Biased Writer Voice as the most egregious example at 58.3% saturation with 317 hits. Analysis detected 1,583 faulty-reasoning hits from 544 analyzed words, generating a BS Score of 72.4% and a BS Rank of 81% (4,242 of 21,887 articles). This article is worse (more manipulative) than 80.60% of the article peer group.

If Andy Burnham doesn’t deliver economic growth as prime minister, his honeymoon period will be very short indeed. 
You’d think, then, his people would have something positive to say about one of Britain’s brightest prospects for the future: its tech sector. 
However, that’s not the impression given in comments made to the Financial Times this week by an unnamed adviser. 
We’re told that “Burnham’s team is planning to revamp the UK’s AI strategy.” 
According to the FT, they want to pivot “away from what they claim is a US-centric model” pushed by Peter Mandelson. 
Any Mandelson involvement is obviously unfortunate, but to whom exactly do Burnham’s advisors want Britain to pivot? 
Together, the US and China dominate global AI, accounting for approximately 90% of the world’s computing power and 75% of its AI investment. 
Further to this, 40 of the world’s most important AI models in 2024 came from America, 15 from China and just three from the whole of Europe. 
While talking about domestic capabilities is admirable, the investment and expertise for developing AI technology at home will have to come from somewhere. 
And while the US tech giants aren’t the only option, most of the alternatives are ultimately controlled by the Chinese Communist Party. 
Anti-Americanism is not a luxury we can afford. 
The good news is that, by some counts, the UK’s AI market is the third-biggest in the world  though a long way behind China and America. 
The latest figures show that Britain also has the third-highest number of “unicorn” businesses, and other advantages include its language, its time zone, its universities and the City of London. 
Added to this is the fact that Britain is not held down by the regulatory burden of the EU, which still labors under the illusion that Europe can regulate its way to tech sovereignty. 
But Britain’s potential will be wasted without a government willing to embrace it, which is why negative briefings from his team on AI won’t help anyone. 
Consider, for instance, the comment made that “unfettered tech boosterism is a vote loser”. 
This is hard to believe. 
How much of Labour’s lost support since the last election is down to Keir Starmer’s relentless promotion of the machine god? 
Amazingly, that wasn’t the most ridiculous opinion shared with the FT. 
Rather, that was reserved for one of the most promising applications of AI: fully automated vehicles such as Waymo. 
London is currently leading most of Europe in trialing these cars, but the FT’s source was skeptical: “What’s the point and who’s it for?” 
The point is to give Britain a stake in one of the most transformational technologies of the 21st century. 
That’s before we get to the immense economic opportunities that will come to those countries that actively welcome the driverless car. 
Yet Team Burnham thinks we need a “plan for dealing with the constituency of people that will be impacted by their introduction, including black cab drivers and Uber drivers”. 
One wonders whether the British governments of the early 20th century had a plan for the blacksmiths, saddlers and coaching inns impacted by the introduction of the horseless carriage. 
Or did a free economy find a million ways to adapt and prosper? 
Article reasoning-pattern comparisonThis article: 0.0%Peter Franklin: 3.3%Unherd: 6.6%Confirmation Bias0.0%This article: 0.0%Peter Franklin: 1.1%Unherd: 0.4%Anchoring Bias0.0%This article: 9.7%Peter Franklin: 5.0%Unherd: 3.5%Availability Heuristic9.7%This article: 5.0%Peter Franklin: 1.2%Unherd: 1.8%Representativeness Heuristic5.0%This article: 5.3%Peter Franklin: 1.3%Unherd: 1.4%Hindsight Bias5.3%This article: 0.0%Peter Franklin: 1.1%Unherd: 2.7%Overconfidence Bias0.0%This article: 0.0%Peter Franklin: 6.3%Unherd: 5.1%Framing Effect0.0%This article: 1.5%Peter Franklin: 0.4%Unherd: 0.3%Loss Aversion1.5%This article: 4.2%Peter Franklin: 1.1%Unherd: 0.6%Status Quo Bias4.2%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.2%Sunk Cost Effect0.0%This article: 18.9%Peter Franklin: 10.8%Unherd: 1.3%Optimism Bias18.9%This article: 4.8%Peter Franklin: 1.6%Unherd: 3.0%Pessimism Bias4.8%This article: 37.5%Peter Franklin: 16.5%Unherd: 10.7%Negativity Bias37.5%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.7%Self-Serving Bias0.0%This article: 3.9%Peter Franklin: 1.0%Unherd: 1.8%Fundamental Attribution Error3.9%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.2%Actor-Observer Bias0.0%This article: 0.0%Peter Franklin: 4.3%Unherd: 1.6%In-Group Bias0.0%This article: 4.0%Peter Franklin: 3.0%Unherd: 1.8%Out-Group Homogeneity Bias4.0%This article: 12.5%Peter Franklin: 4.5%Unherd: 1.7%Halo Effect12.5%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.2%Horn Effect0.0%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.0%Dunning-Kruger Effect0.0%This article: 3.9%Peter Franklin: 1.0%Unherd: 1.3%Recency Bias3.9%This article: 4.4%Peter Franklin: 1.1%Unherd: 0.4%Primacy Effect4.4%This article: 0.9%Peter Franklin: 0.2%Unherd: 0.1%Blind-Spot Bias0.9%This article: 3.1%Peter Franklin: 3.3%Unherd: 2.2%Ad Hominem3.1%This article: 0.0%Peter Franklin: 4.1%Unherd: 1.6%Straw Man0.0%This article: 2.6%Peter Franklin: 0.6%Unherd: 3.2%Appeal to Authority2.6%This article: 8.1%Peter Franklin: 5.1%Unherd: 3.1%False Dilemma8.1%This article: 0.0%Peter Franklin: 0.4%Unherd: 2.0%Slippery Slope0.0%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.3%Circular Reasoning0.0%This article: 12.7%Peter Franklin: 9.2%Unherd: 13.8%Hasty Generalization12.7%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.3%Red Herring0.0%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.5%Bandwagon0.0%This article: 5.7%Peter Franklin: 3.8%Unherd: 4.6%Appeal to Emotion5.7%This article: 7.0%Peter Franklin: 3.1%Unherd: 1.3%Begging the Question7.0%This article: 7.7%Peter Franklin: 1.9%Unherd: 3.9%Post Hoc (False Cause)7.7%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.4%Tu Quoque0.0%This article: 3.1%Peter Franklin: 0.8%Unherd: 0.5%Burden of Proof3.1%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.3%Appeal to Nature0.0%This article: 5.5%Peter Franklin: 1.4%Unherd: 0.8%Composition/Division5.5%This article: 12.7%Peter Franklin: 3.2%Unherd: 4.2%Anecdotal12.7%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.3%No True Scotsman0.0%This article: 3.9%Peter Franklin: 1.0%Unherd: 1.9%Ambiguity (Equivocation)3.9%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.1%Middle Ground0.0%This article: 0.9%Peter Franklin: 0.5%Unherd: 0.1%Personal Incredulity0.9%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.1%Special Pleading0.0%This article: 0.0%Peter Franklin: 1.0%Unherd: 0.4%Genetic Fallacy0.0%This article: 18.2%Peter Franklin: 16.1%Unherd: 2.1%Unattributed Quote18.2%This article: 9.4%Peter Franklin: 3.2%Unherd: 1.0%Quote-first Misdirection9.4%This article: 58.3%Peter Franklin: 31.1%Unherd: 13.9%Biased Writer Voice58.3%This article: 1.5%Peter Franklin: 2.3%Unherd: 2.3%Indoctrination1.5%This article: 3.9%Peter Franklin: 1.0%Unherd: 1.9%Politically Left Leaning Bias3.9%This article: 10.3%Peter Franklin: 13.2%Unherd: 1.5%Politically Right Leaning Bias10.3%This article: 0.0%Peter Franklin: 0.0%Unherd: 0.3%Attempt to Sell a Product or S…0.0%

544 words analyzed.

Speakers

1speaker8.3%attributed speech499writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 100.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageFinancial Times • 21 words • 0.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 34 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 11 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageFinancial Times • 24 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 29 words • 100.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 13 words • 100.0% coverage
Selected voice

Financial Times

100%flagged-word coverage
45 attributed words100% of attributed speech96% writer coverage
0%32.5%65.0%Biased Writer Voice-63.5 ptsWriter: 63.5%Financial Times: 0.0%0.0%Quote-first Misdirection+47.9 ptsWriter: 5.4%Financial Times: 53.3%53.3%Unattributed Quote+38.3 ptsWriter: 15.0%Financial Times: 53.3%53.3%Politically Right Leaning -11.2 ptsWriter: 11.2%Financial Times: 0.0%0.0%Politically Left Leaning B-4.2 ptsWriter: 4.2%Financial Times: 0.0%0.0%Indoctrination-1.6 ptsWriter: 1.6%Financial Times: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.