How play shapes future thinkers 52%

5/21/2026, 10:23:03 AM

BS Summary: This article contains 25 faulty reasoning types, including Appeal to Authority, Anecdotal, and Post Hoc (False Cause), with Attempt to Sell a Product or Service as the most egregious example at 15.7% saturation with 173 hits. Analysis detected 1,416 faulty-reasoning hits from 1,103 analyzed words, generating a BS Score of 51% and a BS Rank of 52% (10,663 of 21,886 articles). This article is worse (more manipulative) than 51.30% of the article peer group.

In a room full of excited children, six-year-old Annabelle Howard is deeply engrossed in play. 
She and her father, Harry, have been invited to a product-testing session to try out a new playset from the LEGO®. group. 
But this one is different from the sets the company is known for. 
Rather than just following instructions to build a gadget, or playing freely with bricks, Annabelle has been presented with a problem to solve: can she save an animal by inventing something to see it safely across a gorge? 
Meanwhile, 14 other children in the room are happily formulating 14 different responses to the same challenge. 
“The beauty of it is that there is no right answer, it’s your answer,” says Harry. 
“Every single child in that room came to a solution. 
I didn’t hear a single tantrum or, ‘I can’t do it’.” 
What made this challenge so effective and engaging is that it has been engineered by LEGO’s designers to tap into the fundamental mechanisms of how children’s brains learn through play. 
Neuroscientists and developmental psychologists have spent decades identifying these mechanisms, which are vital for helping children develop the cognitive capabilities they need to thrive in the 21st century. 
Brain sculpting 
Research in animals suggests that play is a powerful brain-sculpting force that operates at every level, from genes to cell biology to behaviour. 
In rats, for example, play refines the neuronal connections in an area of the brain known as the medial prefrontal cortex, which is involved in coordinating movement and is key to helping the animal interact socially with other rats. 
Play also stimulates the production of signals known as growth factors that boost neuron development and survival, and even short bouts of rough-and-tumble play in rats can markedly alter gene activity in several areas of the brain. 
While these findings help us understand how rats learn through play, extrapolating them to children is not easy. 
Human play is hugely complex and variable, and neuroscience studies of children are scant, says Kathy Hirsh-Pasek, Professor of Psychology and Neuroscience at Temple University in Philadelphia and a senior fellow at the Brookings Institution, a think-tank in Washington, D.C. 
“Our measures of brain stuff in kids is not as sophisticated as the behavioural measures yet,” she says. 
“We can’t pinpoint a [brain] area for you right now and say, ‘This should light up in play’.” 
Cognitive boost 
Instead, developmental psychologists like Hirsh-Pasek rely on behavioural studies, noting how children’s cognitive abilities are affected after the introduction of a particular factor, such as playing with blocks. 
And what these show, she says, is that the defining characteristics of play are also the components of how human brains learn. 
Children learn best when they are active participants, rather than passive recipients; when learning is engaging and meaningful, in that it makes connections between new knowledge and things a child already knows. 
They also learn when the process is socially interactive, and when it is “iterative”, allowing the child to repeatedly generate and test hypotheses. 
Finally, and importantly, children learn if they find the experience joyful. 
These conditions are all met in a kind of play called guided play, where an adult sets the goal of the learning, but children have freedom and agency to explore. 
For example, child psychologists have studied how primary-age schoolchildren tackle maths problems. 
One option is to teach the children how to solve problems first. 
But it turns out they are better at solving new problems when they are able to explore different possible solutions before being taught how to tackle them. 
And four- and five-year-olds build more complex block structures and interact with each other more in a guided play rather than a directed play situation. 
“If we could teach in the way that human brains learn, then children would learn more,” says Hirsh-Pasek. 
She is currently working with LEGO Education in the US on a project to coach teachers in “active playful learning” (essentially, guided play) in classrooms. 
Creative innovation 
This “active playful learning” is in stark contrast to the didactic, instruction-based learning taking place in most schools. 
And it helps develop skills that children will need to thrive in the modern world, says Hirsh-Pasek. 
These skills are collaboration, communication, content or knowledge creation, critical thinking, creative innovation; and finally the confidence to learn through failure. 
So unlike traditional education that rewards rote learning, play cultivates flexible, creative thinkers who generate original ideas, ask better questions, and bring human empathy to their work. 
“If you want to outsmart robots, then you need a suite of skills that isn’t just memorisation,” says Hirsh-Pasek. 
And active playful learning is not just for children. 
“It works no matter how old you are,” she says. 
“I’m seeing it work in college.” 
Back in the product test, the children have created a wealth of inventive solutions for their animals: ladders, bridges, even zipline carriages. 
The challenge was Annabelle’s favourite part. 
“It was now about interacting with that environment with your own free will,” says Harry. 
“I think it’s really fundamentally important that we challenge our children like that in a safe environment. 
And, that they get used to the fact that the answer is not always going to be given to them.” 
Find out more about LEGO Education’s new STEM sets at: 
www.LEGO.com/LEGOEducation 
Research into how children’s brains learn is at the heart of the design behind LEGO Education’s new “build-solve-invent” sets. 
Each starts with a science-related theme that sparks a child’s curiosity, such as how a reindeer’s fur changes with the seasons. 
Then the build presents a problem that the child has to solve. 
And finally, in the third stage, a child can invent something entirely new. 
Curiosity gap 
The crucial point is sparking curiosity—creating what is generally known as a “curiosity gap” that draws learners in with questions such as, “I wonder how this works?”, says Bo Stjerne Thomsen, head of educational impact at LEGO Education and a research affiliate at the Massachusetts Institute of Technology’s Media Lab. 
This uncertainty activates a system of connected brain regions known as the salience network, which detects important stimuli that need attention. 
This then interfaces with two further brain systems: the default mode network, where imagination and reflection happen, and the executive function network, where focus and problem-solving reside. 
Traditionally, education jumps straight to problem-solving—the executive function network— but effective learning needs all three networks working together, says Thomsen. 
“Essentially, we’re trying to make that a flow of how you use the whole brain, says Thomsen. 
“If you don’t activate the full brain, the brain will not consolidate that knowledge.” 
Article reasoning-pattern comparisonThis article: 5.2%New Scientist: 1.8%Confirmation Bias5.2%This article: 0.0%New Scientist: 1.0%Anchoring Bias0.0%This article: 5.3%New Scientist: 2.1%Availability Heuristic5.3%This article: 4.0%New Scientist: 0.5%Representativeness Heuristic4.0%This article: 2.4%New Scientist: 0.2%Hindsight Bias2.4%This article: 5.8%New Scientist: 2.6%Overconfidence Bias5.8%This article: 5.9%New Scientist: 5.8%Framing Effect5.9%This article: 0.0%New Scientist: 0.3%Loss Aversion0.0%This article: 1.8%New Scientist: 0.2%Status Quo Bias1.8%This article: 0.0%New Scientist: 0.0%Sunk Cost Effect0.0%This article: 8.3%New Scientist: 6.6%Optimism Bias8.3%This article: 0.0%New Scientist: 0.6%Pessimism Bias0.0%This article: 1.0%New Scientist: 1.9%Negativity Bias1.0%This article: 0.0%New Scientist: 0.2%Self-Serving Bias0.0%This article: 0.0%New Scientist: 0.1%Fundamental Attribution Error0.0%This article: 0.0%New Scientist: 0.1%Actor-Observer Bias0.0%This article: 0.0%New Scientist: 0.6%In-Group Bias0.0%This article: 0.0%New Scientist: 0.1%Out-Group Homogeneity Bias0.0%This article: 6.9%New Scientist: 7.3%Halo Effect6.9%This article: 0.0%New Scientist: 0.0%Horn Effect0.0%This article: 0.0%New Scientist: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%New Scientist: 0.4%Recency Bias0.0%This article: 0.0%New Scientist: 0.3%Primacy Effect0.0%This article: 0.0%New Scientist: 0.2%Blind-Spot Bias0.0%This article: 0.0%New Scientist: 0.0%Ad Hominem0.0%This article: 0.0%New Scientist: 0.0%Straw Man0.0%This article: 13.5%New Scientist: 13.9%Appeal to Authority13.5%This article: 5.2%New Scientist: 0.9%False Dilemma5.2%This article: 1.6%New Scientist: 0.6%Slippery Slope1.6%This article: 1.5%New Scientist: 0.1%Circular Reasoning1.5%This article: 6.9%New Scientist: 3.2%Hasty Generalization6.9%This article: 0.0%New Scientist: 0.0%Red Herring0.0%This article: 0.0%New Scientist: 0.7%Bandwagon0.0%This article: 1.4%New Scientist: 5.1%Appeal to Emotion1.4%This article: 5.4%New Scientist: 0.9%Begging the Question5.4%This article: 8.8%New Scientist: 1.4%Post Hoc (False Cause)8.8%This article: 0.0%New Scientist: 0.0%Tu Quoque0.0%This article: 0.0%New Scientist: 0.1%Burden of Proof0.0%This article: 3.4%New Scientist: 0.1%Appeal to Nature3.4%This article: 2.4%New Scientist: 0.1%Composition/Division2.4%This article: 9.2%New Scientist: 0.8%Anecdotal9.2%This article: 0.0%New Scientist: 0.0%No True Scotsman0.0%This article: 2.3%New Scientist: 1.0%Ambiguity (Equivocation)2.3%This article: 0.0%New Scientist: 0.0%Gambler’s Fallacy0.0%This article: 0.0%New Scientist: 0.0%Middle Ground0.0%This article: 0.0%New Scientist: 0.0%Personal Incredulity0.0%This article: 0.0%New Scientist: 0.1%Special Pleading0.0%This article: 0.0%New Scientist: 0.0%Genetic Fallacy0.0%This article: 0.0%New Scientist: 0.6%Unattributed Quote0.0%This article: 0.0%New Scientist: 0.4%Quote-first Misdirection0.0%This article: 2.7%New Scientist: 3.7%Biased Writer Voice2.7%This article: 1.8%New Scientist: 1.9%Indoctrination1.8%This article: 0.0%New Scientist: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%New Scientist: 0.0%Politically Right Leaning Bias0.0%This article: 15.7%New Scientist: 20.0%Attempt to Sell a Product or S…15.7%

1103 words analyzed.

Speakers

3speakers32%attributed speech745writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 5 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageHarry • 16 words • 0.0% coverageHarry • 10 words • 0.0% coverageHarry • 11 words • 0.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 39 words • 0.0% coverageWriter's voice • 37 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageKathy Hirsh-Pasek • 40 words • 0.0% coverageKathy Hirsh-Pasek • 18 words • 0.0% coverageKathy Hirsh-Pasek • 18 words • 0.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageKathy Hirsh-Pasek • 22 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageKathy Hirsh-Pasek • 18 words • 0.0% coverageWriter's voice • 25 words • 100.0% coverageWriter's voice • 2 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageKathy Hirsh-Pasek • 17 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageKathy Hirsh-Pasek • 19 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageKathy Hirsh-Pasek • 10 words • 0.0% coverageKathy Hirsh-Pasek • 6 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageHarry • 15 words • 0.0% coverageHarry • 17 words • 0.0% coverageHarry • 20 words • 100.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 1 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 13 words • 100.0% coverageWriter's voice • 2 words • 0.0% coverageBo Stjerne Thomsen • 50 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageBo Stjerne Thomsen • 20 words • 0.0% coverageBo Stjerne Thomsen • 17 words • 0.0% coverageBo Stjerne Thomsen • 14 words • 0.0% coverage
Selected voice

Bo Stjerne Thomsen

100%flagged-word coverage
101 attributed words28% of attributed speech70% writer coverage
0%25.0%50.0%Attempt to Sell a Product +33.0 ptsWriter: 16.5%Bo Stjerne Thomsen: 49.5%49.5%Biased Writer Voice-4.0 ptsWriter: 4.0%Bo Stjerne Thomsen: 0.0%0.0%

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

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Analysis

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