The dataset of the Statistical "Which Character" Personality Quiz (SWCPQ) includes characters from the fictional universe of Silicon Valley. The SWCPQ can operate as a "What Silicon Valley character are you?" test, click the link above to access it. This page aggregates the crowd sourced data that the quiz is built upon.
| Notability | Name |
|---|---|
| 78.05 | Richard Hendricks |
| 63.1 | Gavin Belson |
| 61.75 | Bertram Gilfoyle |
| 48.35 | Dinesh Chugtai |
| 47.5 | Monica Hall |
| 43.4 | Jared Dunn |
| 43.35 | Erlich Bachman |
| 35.9 | Jian-Yang |
| 35.6 | Peter Gregory |
| 27.05 | Nelson Bighetti |
To see how each character was rated by users, view their individual page.
As part of the survey where they rated characters, users were also asked the question "How do you rate Silicon Valley?". The distribution of their responses are below.
| # | Response | Count |
|---|---|---|
| 1 | It's the worst | 31 |
| 2 | It's bad | 18 |
| 3 | It's okay | 432 |
| 4 | It's good | 1829 |
| 5 | It's my favorite | 328 |
This gives it an average score of 3.91 / 5. Making it 186th out of the 369 universes in the dataset ordered by rating.
The average rating may be hard to generalize, though; the users of one online personality quiz could not be representative of the population in important ways. And there are some very obvious things you can point to: users of this quiz are more likely to be young and more likely to be women.
There are several different ways that average ratings can be broken down. Here are average scores by gender:
| Gender | Average rating |
|---|---|
| Male | 3.98 |
| Female | 3.85 |
The responses to the personality quiz can also be cross referenced with the universe ratings to see how personality affects it. The table below shows the correlation between a user's response to a specific self report item and their rating of this universe.
| Item | Correlation with rating | n |
|---|---|---|
| nerd (not jock) | 0.1174 | 2689 |
| skeptical (not spiritual) | 0.0949 | 2759 |
| masculine (not feminine) | 0.094 | 2774 |
| scientific (not artistic) | 0.0925 | 2024 |
| disarming (not creepy) | 0.0846 | 2676 |
| nurturing (not poisonous) | 0.081 | 2676 |
| genuine (not sarcastic) | 0.0779 | 1965 |
| genius (not dunce) | 0.068 | 2712 |
| reclusive (not social) | 0.0616 | 2674 |
| logical (not emotional) | 0.0603 | 2751 |
| meek (not bossy) | 0.0598 | 2686 |
| tame (not wild) | 0.0591 | 1941 |
| reasonable (not deranged) | 0.0588 | 2690 |
| arcane (not mainstream) | 0.0583 | 2680 |
| orderly (not chaotic) | 0.0567 | 2723 |
| slovenly (not stylish) | 0.056 | 2715 |
| high-tech (not low-tech) | 0.05 | 1962 |
| indulgent (not sober) | 0.0482 | 2672 |
| awkward (not charming) | 0.0479 | 2772 |
| angelic (not demonic) | 0.04 | 2672 |
| haunted (not blissful) | 0.0387 | 1929 |
| obedient (not rebellious) | 0.0387 | 2704 |
| sheriff (not outlaw) | 0.0385 | 2672 |
| beta (not alpha) | 0.0382 | 2673 |
| loyal (not traitorous) | 0.0362 | 2765 |
| gracious (not feisty) | 0.0359 | 2671 |
| stinky (not fresh) | 0.0333 | 2676 |
| deep (not shallow) | 0.0319 | 2731 |
| mature (not juvenile) | 0.0293 | 1925 |
| lenient (not strict) | 0.0286 | 2744 |
| ivory-tower (not blue-collar) | 0.026 | 2674 |
| conventional (not creative) | 0.026 | 2776 |
| frugal (not lavish) | 0.025 | 2669 |
| altruistic (not selfish) | 0.0179 | 2676 |
| intimate (not formal) | 0.016 | 2707 |
| stick-in-the-mud (not adventurous) | 0.0114 | 2676 |
How these items predict the ratings for this universe can be compared to how the same items predict the ratings of other universes. The universes with the most similar patterns on the predictors are: