Cameron Pfiffer
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My girlfriend Grace threw a "Shitty beer off" party, where participants were tasked with drinking a shitty beer and then rating it on a scale of 1 to 10. We provided 5 beers and double-blindly asked participants to rate them.

Beers available were

We asked participants to rate each beer on the following dimensions:

Here's the data on the actual beers and the participant's ratings on the shitty beers.

using CSV, DataFrames, Plots

Average ratings

Row  │ beer_name  overall  drinkability  bubble   america  mouthfeel 
     │ String15?  Float64  Float64       Float64  Float64  Float64   
─────┼───────────────────────────────────────────────────────────────
   1 │ PBR        6.83333       7.46667  6.33333  5.66667    6.28571
   2 │ Budweiser  6.53846       7.15385  5.26923  7.76923    6.38462
   3 │ Hamms      6.375         6.75     5.4375   6.75       6.375
   4 │ Coors      4.43333       5.66667  3.93333  6.8        4.2
   5 │ Miller     4.33333       5.33333  4.33333  6.0        3.6

Takeaways:

Variance in ratings

Row  │ beer_name  overall_var  drinkability_var  bubble_var  america_var  mouthfeel_var 
     │ String15?  Float64      Float64           Float64     Float64      Float64       
─────┼──────────────────────────────────────────────────────────────────────────────────
   1 │ PBR            2.84524           3.98095     3.38095      3.95238        3.91209
   2 │ Budweiser      5.9359            5.47436     5.19231      2.69231        3.25641
   3 │ Hamms          3.58333           3.26667     4.39583      5.4            4.11667
   4 │ Coors          4.3881            9.52381     7.78095      2.74286        7.31429
   5 │ Miller         2.66667           7.66667     3.95238      4.61538        3.97143

Takeaways:

Correlation between attributes

Correlation between attributes

Takeaways:

Guessing statistics

Participants were not good at guessing the correct beer. Total accuracy was 20.37%.

This did however vary by beer. Some beers were easier to guess than others.

Row  │ beer_name  accuracy 
     │ String15   Float64  
─────┼─────────────────────
   1 │ PBR        0.636364
   2 │ Miller     0.363636
   3 │ Budweiser  0.0
   4 │ Hamms      0.0
   5 │ Coors      0.0

Most participants identified PBR quickly, which was surprising. Miller was the only other beer that was guessed correctly. Coors, Bud, and Hamms were all guessed incorrectly by everyone, though this may have been due to the fact that the participants slowly became drunker the longer they were at the party.

We can also break this down by participant. We have several observations where no name was available, so this is restricted to the participants who provided a name.

Row  │ name     accuracy 
     │ String7  Float64  
─────┼───────────────────
   1 │ anna     0.5
   2 │ emily    0.4
   3 │ david    0.333333
   4 │ conner   0.25
   5 │ ashley   0.25
   6 │ andrew   0.2
   7 │ mark     0.2
   8 │ summer   0.2
   9 │ max      0.0
  10 │ pranay   0.0

Takeaways:

Conclusion

This was a fun party! Really great idea. I strongly recommend hosting a shitty-beer off.

Go buy some PBR.

Or, well, basically any of the American craft beers, which are excellent.

– Cameron

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