TV Character Fate Flowcharts

Julia Lepetit's Chart Helps Predict TV Character Deaths

TV character deaths can be heart-wrenching, even if they aren't real. People can easily get attached to their favorite show's characters and when one of them is killed off the show, it can sometimes feel like a true loss of a friend -- I mean, you did meet up with them once a week in your living room or if you are a Netflix binger: a couple times a day.

Illustrator Julia Lepetit of Dorkly came up with a clever flowchart that depicts whether or not your favorite movie or TV show character will die; that way, you can avoid getting too attached from the get-go.

Based on "yes" or "no" questions, the reader can determine if a particular character has a bad fate. For example, if you answer "yes" to watching Game of Thrones it's inevitable that your character will die.

TV Character Fate Predictions
Adopting predictive flowcharts to forecast the fate of TV show characters can provide audiences with an early indication of potential character deaths.
Audience Engagement with TV Characters
Creating interactive tools that allow viewers to participate in predicting the fate of TV show characters can increase audience engagement and emotional investment in the show.
Data-driven Storytelling
Integrating data analysis and predictive modeling into TV show narratives can create more dynamic and suspenseful storytelling experiences.

Where This Applies

Entertainment
The entertainment industry can leverage predictive flowcharts to engage viewers and prolong audience interest in TV shows.
Data Analytics
Developing data-driven storytelling techniques can offer opportunities for data analytics companies to collaborate with the entertainment industry and provide valuable insights.
Graphic Design
Creating visually appealing flowcharts and interactive tools for predicting TV character fates can open up new design opportunities for graphic design professionals.
SCORE
1.1 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America
GENERATION
  • Gen Alpha
  • Gen Z (primary audience)
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 3%
Activity 21%
Freshness 8%