The Mathematics Used to Solve Crime

The video explores various mathematical approaches to crime analysis, including Kim Rossmo's formula for predicting criminal residences, the role of human randomness in crime, and the application of graph theory in social network analysis. It also covers bloodstain pattern analysis in forensic investigations, highlighting the importance of mathematics in solving and preventing crimes.

What is the primary purpose of Kim Rossmo's formula in crime analysis?

• To identify the criminal's accomplices

• To find the likely residence of a criminal

• To determine the criminal's motive

• To predict the next crime location

How does Rossmo's formula balance probabilities to create a 'hot zone'?

• By increasing probabilities with distance

• By balancing probabilities based on distance from crime scenes

• By ignoring distances altogether

• By focusing only on the closest crime scene

In what way was Rossmo's formula depicted in popular media?

• As a technique to solve financial fraud

• As a tool used by a mathematician in a TV show

• As a method to predict future crimes

• As a strategy for political campaigns

Why are humans generally poor at generating random sequences?

• They tend to repeat certain numbers more often

• They use complex algorithms

• They rely on computers for randomness

• They prefer even numbers

What did the analysis of the 2009 Iranian election reveal about human randomness?

• The election results were entirely random

• Certain numbers appeared more frequently than expected

• Humans can perfectly mimic randomness

• Humans prefer odd numbers

What is the significance of 'betweenness' in graph theory?

• It measures the popularity of a node

• It indicates the shortest path through a node

• It determines the node's distance from the center

• It shows the total number of connections

How can graph theory help in identifying key individuals in a network?

• By analyzing the degree of each node

• By focusing on isolated nodes

• By calculating betweenness and closeness centrality

• By counting the total number of nodes

What does a high 'closeness centrality' score indicate in a network?

• The node is central to spreading information

• The node is least connected

• The node is isolated

• The node has the most direct connections

What can bloodstain pattern analysis reveal about a crime scene?

• The angle and velocity of blood impact

• The criminal's identity

• The motive behind the crime

• The exact time of the crime

How did bloodstain pattern analysis contribute to the conviction of Brittany Norwood?

• By proving the bloodstains were from a standing fight

• By showing the bloodstains were from a high angle

• By indicating the bloodstains were from a low angle

• By demonstrating the bloodstains were from a gunshot