Joshua Feldman

Data Scientist @Meta

Threads:

[Joshua Feldman @feldesque]

So, Threads is a thing now. See you there?

https://t.co/xmGMVYL47g

[Joshua Feldman @feldesque]

@DontWantNoTweet @thetimes Haha, it was purely tongue-in-cheek – I would go for a crossword over Wordle any day.

[Joshua Feldman @feldesque]

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 👨‍💻: https://t.co/ooiCUnQcM2
Full-size graphic 📈 : https://t.co/TUoZsri0XH

#rstats #tidytuesday #ggplot2

[Joshua Feldman @feldesque]

@mcmullarkey The University of Bristol have a great online course on multilevel modelling (including practical lessons with R): https://t.co/zkOQoFtDql

[Joshua Feldman @feldesque]

@foodforthot_ Nooo, what. That's insane. I genuinely thought that was a picture of Putin.

[Joshua Feldman @feldesque]

@the_numerist Aw, thanks Chloe!

[Joshua Feldman @feldesque]

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

[Joshua Feldman @feldesque]

@IgorBrigadir You're right! Once you take that into account, the #1 word is actually SOARE; LARES comes in a very respectable second place.

[Joshua Feldman @feldesque]

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 👇

[Joshua Feldman @feldesque]

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.

[Joshua Feldman @feldesque]

@MeijaJuris @powerlanguish @MeijaJuris Just reran my code with the filter – I come to the same answer! #1 is SOARE and #2 is LARES. Will update my tweet, thanks for the heads up ☺️

[Joshua Feldman @feldesque]

@MeijaJuris @powerlanguish That said, I didn't know about the distinction between 'solutions' and 'herrings' in the underlying JS (I used the total Wordle dictionary as a database), so the result may be different if I filter for solutions only.

[Joshua Feldman @feldesque]

@MeijaJuris @powerlanguish I hadn't seen that actually. The approach is very similar, but it looks like the author only uses a heuristic method for the final ranking (when he says that 'right spots' are twice as important as 'wrong spots').

[Joshua Feldman @feldesque]

Here's the link to the (currently very messy) #rstats code for anyone who wants to explore further: https://t.co/XiUkqEvXMU.

I deleted my earlier tweet because I noticed a bug, but the end result was the same after fixing it.

[Joshua Feldman @feldesque]

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.

[Joshua Feldman @feldesque]

New datasets: The 100 Best Footballers in the World 2021 (scraped from the @guardian using #rstats) ⚽️📊

👨 Male version: https://t.co/1s807iyLPm

👩 Female version: https://t.co/WgdQA6dnXi

In male football, Man City have the most players featured, followed by Chelsea and PSG.