The Einstein Puzzle REBOOTED
Dave Dickson ??
?? International Privacy Advocate and Cybersecurity Consultant (Available for immediate consulting engagements)??
How does a puzzle from the early 20th century impact GDPR, AI, Deep Learning, Forensic investigation and more? Read on and see. Then watch the accompanying video (Puzzle and Solution together). Be careful though as the solution is included. Click here for a stand alone video of the Puzzle and here for a stand alone video of the solution.
The following is a revisit to this puzzle allowing you to try again using ONLY YOUR MIND.
- There are 5 houses in five different colors.
- In each house lives a person with a different nationality.
- These five owners drink a certain type of beverage, eat a certain food and keep a certain pet.
- No owners have the same pet, eat the same food or drink the same beverage.
The question is: Who owns the horse?
Possible Nationalities
- Scottish
- Canadian
- American
- Swiss
- French
Possible House Colours
- Blue
- Green
- Purple
- Yellow
- Red
Possible Beverages
- Coffee
- Milk
- Tea
- Water
- Soda
Possible Food
- Apple
- Orange
- Banana
- Carrot
- Cucumber
Possible Pets
- Fish
- Dog
- Horse
- Cat
- Bird
Some hints were provided in the original so here they are updated;
- the Scott lives in the blue house
- the Swiss keeps a fish as a pet
- the American drinks coffee
- the yellow house is on the left of the purple house
- the yellow house's owner drinks milk
- the person who eats cucumber has a dog
- the owner of the red house eats apple
- the person living in the center house drinks tea
- the Canadian lives in the first house
- the person who eats banana lives next to the one who keeps a bird
- the person who has a cat lives next to the person who eats an apple
- the person who eats orange drinks water
- the French person eats carrot
- the Canadian lives next to the green house
- the person who eats banana has a neighbour who drinks soda
Have fun and let me know how you do.
David Dickson is a Consulting C.E.O./C.I.O and owner at DKS DATA (www.dksdata.com).
Disambiguation Specialist
5 年Hi Dave - I came at this from a geometric perspective... kind of a Tetris approach. Have a look at the graphic and let me know what you think. Also, a question for you that revisits some of the material we covered in our coffee chats... Are any of the individual data points - just single words - considered personal information in GDPR? :D
Head of Finance, FCA, BSc Mgt. (SP)
6 年Hi Dave.. this looks great. Thanks for sharing. Will check the video and understand the logic ??
TOGAF? (Enterprise Architecture) - Senior Technical Learning Specialist
6 年Brilliant example of inference and aggregation from mined data. We leave a massive digital footprint. Laws like GDPR are needed more than ever now in era of big data and Ai.
Terrifying.
Great Dave - probably have a go tonight..