Congratulations to Michael Paul Coder, the winner of the dream research contest I posed last week. Michael correctly identified the gender, age, and dream type of six sets of dreams using only word search frequencies and my baseline hypotheses to make his inferences. He also correctly identified the bonus questions of which sets of dreams came from the same person. Best of all from my point of view, Michael showed me his work so I could see how he applied the baseline hypotheses to the word search frequencies. The correct answers are below.
Perhaps it should not be surprising to learn that Michael is a talented and experienced software architect with a website, Lucid-Code, offering a variety of technologies for exploring consciousness in dreaming.
His success is encouraging because it shows that an essentially automatic process of word frequency analysis can reveal meaningful patterns in dreaming. It should give us additional confidence that this kind of approach to dream research can provide quick, accurate, and reliable results.
What other aspects of dream meaning can be illuminated by this method? That’s an open question….
Set 1: Female, younger than 18, MRDs.
Set 2: Male, older than 18, MRDs.
Set 3: Male, older than 18, MRDs.
Set 4: Male, older than 18, MRDs.
Set 5: Female, younger than 18, MRDs.
Set 6: Male, older than 18, MRDs.
Bonus question: Sets 1 and 5 come from the same person, and Sets 3 and 4 come from the same person.