What do you think?
Neil Perkin had some smart thoughts on the role of AI in workplace learning. Now that we can crack The Da Vinci Code in an instant, what does development and knowledge acquisition look like?
Included in his box of tricks is a 2x2 grid to help find the right role for AI and this reassuring line of thought:
“I think (or at least hope) that leaders will increasingly sense the difference between someone who has thought through a problem and someone who has merely looked up an answer. The former will carry with it a kind of authority and distinctiveness that the latter lacks. The question ‘what do you think?’ becomes more potent, not less, when AI can tell us what everyone else thinks.”
The paradox of plenty
We’ve got more data than we can shake a MaxDiff at. But does more data mean more accurate decisions? Alas, the mighty Shotters think perhaps not:
“Slovic found that the accuracy of predictions stayed the same, no matter how many variables the professionals had access to. The benefits of extra information was offset by the professionals being distracted by metrics of limited importance [...] Slovic's other finding was that confidence was dramatically affected by data levels - the more variables the handicappers saw, the more confident they became. Any more than 5 variables and they became wildly overconfident.”
A picture is worth a thousand yellow stickers
For retailers looking to win on price, it’s crucial that they highlight their best promotions with pictures. Because, according to Tony Durham, they’re more memorable and thus more likely to drive price perception:
“Pictures attract attention and memory is stronger of things associated with pictures, so if you want to change your price perception it’s good to use pictures of recognised brands when you have a great price on your promotion displays [...] so doing your best promotions with pictures, and “just ok” promotions with the price alone, maximises your long price perception as only your best deals are remembered.”
How about that?
Rene Almeling gave my brain a tickle with her piece on the benefits of asking ‘how?’ instead of ‘why?’. How did I not think of that before?
“Why are you working at your current job? Compare that to this one: How did you come to work at your current job? [...] “how” questions can evoke more wandering responses that often include crucial information about social processes, history, networks, decision-making, and uncertainty [...] You’ll have a deeper understanding of how individuals and organizations behave the way they do, and, as a result, will probably be able to identify new, previously unappreciated opportunities for intervening and creating positive changes"
And finally…
Name Age Calculator estimates the most likely age for someone given their first name. And is also an excellent way to see how ahead/on/behind the curve your parents were 😁
The most likely age for American males named Jude is between 6 to 16 years old. However, this 2 year old Jude has more snooker talent in his left ear than most could ever dream of.
London taxi drivers who pass The Knowledge (a test whereby they have to memorise 25,000 streets in central London) see the structure of their brains physically change and grow as a result. So if you’re ever in a London black cab, know that your driver has a larger posterior hippocampus than you. I’ll be trying my best not to feel inadequate about it.
Bon weekend,
Fran