1 / 15

The Application of Probability Techniques to the Selection of an Optimum Girlfriend

The Application of Probability Techniques to the Selection of an Optimum Girlfriend. SG Pickering Department of Mechanical Engineering University of Bath. Contents. Motivation Theoretical Basis Results of Preliminary Investigations Further work. Motivation.

zuwena
Télécharger la présentation

The Application of Probability Techniques to the Selection of an Optimum Girlfriend

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Application of Probability Techniques to the Selection of an Optimum Girlfriend SG Pickering Department of Mechanical EngineeringUniversity of Bath

  2. Contents • Motivation • Theoretical Basis • Results of Preliminary Investigations • Further work

  3. Motivation • PhD research with a useful application • The “Could I do better?” mindset • Are you fulfilling your potential • Applicable to both male and female relationships • The complex mathematical reasoning will confuse your girlfriend and hopefully stop her from crying when you tell her that you know you can do better

  4. The Law • Try 1/e (37%) of those Young Ladies whom you can pull (To assess the general quality of the population). • Calculate a ranking for each of these girls. • Try the remaining c.63% one by one. • Stop as soon as you rank the current young lady higher than any of those tested in Part 1. • She is probably the best girlfriend (in your world).Don’t tell her that she was chosen by a mathematical formula.

  5. Theoretical Basis

  6. Filling the Gaps • How many girls could you realistically pull? • How do you rate the girls whom you pull?

  7. Population Space • Assuming 2 visits/week to a night club • Pull probability 33% (adjust as required) • Maximum # of pulls / year • 1 night relationship (cursory examination) 29 girls/year • 4 week relationship (basic info) 11 girls/year • 12 week relationship (advanced info) 4 girls/year

  8. Rating Your Girlfriend: Subjective Metrics • Attractiveness • Face, breasts, legs, arse, hair colour, height, nationality, camel, body shape • Skills • Cooking, cleaning, talking, BJ, sexual abilities & adventurousness • Miscellaneous • Quality of her friends, her ‘reputation’

  9. Subjective Rating Scale

  10. Rating Your Girlfriend:Objective Metrics • Intelligence • Wealth • Shopping or preferably lack thereof (except at Christmas/Birthday time) • Ironing ability • Does she approve of your friends?

  11. Preliminary Investigations • A study was carried out by the author with the Help of Mr. Ball • During the past 2 weeks • Population size of 150 girls

  12. Subject A The Good

  13. Current Work • Obtaining more test data • Trying to not obtain bad data • …

  14. Further Work • Comparison of The Law with a normal (random) approach • Application of technique:

  15. Contact Details Simon Pickering MEng Dept. of Mechanical EngineeringUniversity of Bath Bath, BA2 7AY 01225 383314 S.G.Pickering@bath.ac.uk

More Related