Joshua Feldman (@feldesque) header
Joshua Feldman (@feldesque) profile picture

Data Scientist @Meta Threads: https://xitter.gq/t.co/1V0gLpm2QY

London, England
Joined December 2012
Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)Photo by Joshua Feldman (@feldesque)
So, Threads is a thing now. See you there? threads.net/@feldesque
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Crosswords – Wordle for boomers? Here's a crossword of the 20 most common answers in @thetimes crossword. The clues are samples from previous editions. Code 👨‍💻: github.com/joshua-feldman/ti… Full-size graphic 📈 : github.com/joshua-feldman/ti… #rstats #tidytuesday #ggplot2
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The University of Bristol have a great online course on multilevel modelling (including practical lessons with R): bristol.ac.uk/cmm/learning/o…
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I ❤️ 90s sitcoms (esp. Friends, Frasier and Seinfeld), so I looked into which was most popular at the time. It blew my mind that Seinfeld had higher ratings than Friends in the US (at least during its later seasons). A true master of its domain. FYI @JerrySeinfeld #rstats
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Update! I learned via @MeijaJuris that Wordle only uses a subset of words as possible solutions. If we take this into account, LARES is only #2 – SOARE is #1, which is the same conclusion that @bertrandom came to.
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Here's the link to the (currently very messy) #rstats code for anyone who wants to explore further: github.com/joshua-feldman/wo…. I deleted my earlier tweet because I noticed a bug, but the end result was the same after fixing it.
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The word LARES is that which – on average – reduces the solution space the most, specifically from 10k to 300. In general, good first guesses are those that use common letters but do not repeat them.
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Of course we don't know the answer in advance (and therefore which letters will turn green/orange/grey). BUT we can loop through all possible answers and calculate how much each guess reduces the solution space in that instance. Then we take the average reduction for each guess.
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The colours that the game shares for each letter – green, orange and grey – are signals as to how to reduce the solution space. E.g. if you guess CHASE and the letter C turns green, the solution space reduces from 10k to 1k (i.e. the number of words that begin with C).
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Ultimately, Wordle is a game about reducing a solution space from ~10k possible 5-letter words to just one, by process of elimination. The optimum first guess is therefore a word that reduces that solution space as much as possible from the outset.
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So I was playing Wordle by @powerlanguish and I wondered – what's the optimal first guess, i.e. the word that maximises your chances of winning? As I'm self-isolating and apparently have nothing better to do, I figured out that word is LARES. Rationale and #rstats code below 👇
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New datasets: The 100 Best Footballers in the World 2021 (scraped from the @guardian using #rstats) ⚽️📊 👨 Male version: github.com/joshua-feldman/gu… 👩 Female version: github.com/joshua-feldman/gu… In male football, Man City have the most players featured, followed by Chelsea and PSG.
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