[HN Gopher] Understanding onset of hot streaks in artistic, cult...
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Understanding onset of hot streaks in artistic, cultural and
scientific careers
Author : bookofjoe
Score : 41 points
Date : 2021-09-13 14:18 UTC (8 hours ago)
(HTM) web link (www.nature.com)
(TXT) w3m dump (www.nature.com)
| Jerrrry wrote:
| "Hot hands are a myth," said a statician, who then spent 200
| pages redefining what it meant, until it existed.
| protomyth wrote:
| This is one of those things that keep getting quoted but it
| really shows the difference between someone in academia and
| people who use the term in practice. As you say, the "hot hand"
| is only a myth when you get to redefine the meaning.
|
| It is amazing looking at a stat sheet from when you felt
| amazing versus when you felt like crap or even average. It is
| basically the sports equivalent of a programmer being in the
| zone.
| jimhefferon wrote:
| https://statmodeling.stat.columbia.edu/2015/07/09/hey-
| guess-... is interesting.
| smaddox wrote:
| Quite a clever approach to quantifying and collecting evidence
| for a fairly intuitive hypothesis.
| kfarr wrote:
| Agreed it's intuitive, but also this research provides (for me
| at least) more support that this type of "problem space
| exploration" is not necessarily procrastination, but it's
| instead a key and necessary component in creative productivity.
| hyperbovine wrote:
| > We find that across all three domains, individuals tend to
| explore diverse styles or topics before their hot streak, but
| become notably more focused after the hot streak begins.
| Crucially, hot streaks appear to be associated with neither
| exploration nor exploitation behavior in isolation, but a
| particular sequence of exploration followed by exploitation,
| where the transition from exploration to exploitation closely
| traces the onset of a hot streak.
|
| "Intuitive" is putting it mildly...
| abetusk wrote:
| Some relevant quotes:
|
| """ Building on recent advances in computer vision we use a
| transfer-learning approach to construct an embedding for artworks
| using deep neural networks. We generate a 200-dimensional
| embedding of each artwork and identify art styles through
| clusters on the 200-dimensional embedding space, allowing us to
| trace the evolution of art styles over the course of their
| careers """
|
| """ We find that when exploitation occurs by itself, not preceded
| by exploration, the chance that such episodes coincide with a hot
| streak is significantly lower than expected, not higher, across
| all three domains. """
|
| """ ... we find that when the episode of exploration is not
| followed by exploitation, the chance for such exploration to
| coincide with a hot streak again reduces significantly. """
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(page generated 2021-09-13 23:01 UTC)