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How Superhuman Built an Engine to Find Product/Market Fit | First Round Review
The product/market fit definitions I had found were vivid and compelling, but they were lagging indicators — by the time investment bankers are staking out your house, you already have product/market fit. Instead, Ellis had found a leading indicator: just ask users “how would you feel if you could no longer use the product?” and measure the percent who answer “very disappointed.”
After benchmarking nearly a hundred startups with his customer development survey, Ellis found that the magic number was 40%. Companies that struggled to find growth almost always had less than 40% of users respond “very disappointed,” whereas companies with strong traction almost always exceeded that threshold.
Life's transitions easier with a sense of a well-rounded ending -- ScienceDaily
"Starting a new life phase in a positive and constructive way is often challenging, so we examined methods that could help people find a good start to a new job, a new relationship, or a new home," explains Gabriele Oettingen, a professor in New York University's Department of Psychology and the senior author of the study, which appears in the journal Motivation Science. "We observed that how people end their previous life periods makes a difference. In fact, the more people feel that they have done everything they could have done, that they have completed something to the fullest, and that all loose ends are tied up, the happier they are later on, the less they are plagued by regrets, and the more constructively they enter the next life phase."
25 is 'golden age' for the ability to make random choices: At their peak, humans outcompete many computer algorithms in generating seemingly random patterns -- ScienceDaily
"This experiment is a kind of reverse Turing test for random behavior, a test of strength between algorithms and humans," says study co-author Hector Zenil. "25 is, on average, the golden age when humans best outsmart computers," adds Dr. Gauvrit.
The study also demonstrated that a relatively short list of choices, say 10 hypothetical coin flips, can be used to reliably gauge randomness of human behavior. The authors are now using a similar approach to study potential connections between the ability to behave randomly and such things as cognitive decline and neurodegenerative diseases.
How aerobic exercise enhances neuroplasticity in the brain
A brief but intense period of aerobic exercise immediately reduces GABA, the main inhibitory neurotransmitter in the brain. GABA play an important role in regulating the brain’s capacity to undergo change or neuroplasticity. We observed reduced excitability of GABA-mediated networks in the motor cortex, which may explain findings from previous studies where enhanced neuroplasticity is observed after aerobic exercise.
Our findings may have implications for individuals after stroke, where GABA is a promising target for promoting neuroplasticity to promote recovery of motor function.
Kids should pay more attention to mistakes, study suggests -- ScienceDaily
The children then took a fast-moving accuracy task on a computer while their brain activity was recorded. The task: Help a zookeeper capture escaped animals by pressing the spacebar when an animal appeared -- unless it was a group of three orangutan friends, who were helping capture the other animals, in which case they had to withhold their response.
Within half-of-a-second after making a mistake, brain activity increases as the person becomes aware of and pays close attention to what went wrong. Essentially, a bigger brain response means the person is focusing more on the error.
Children with growth mindsets were significantly more likely to have this larger brain response after making a mistake in the study. In addition, they were more likely to improve their performance on the task after making a mistake.
