Class Notes (807,356)
United States (312,498)
CRJU 20423 (22)
Merken (22)
Lecture 3

CRJU 20423 Lecture 3: Chapter 3 - When Crime Waves

3 Pages
Unlock Document

Texas Christian University
Criminal Justice
CRJU 20423

Chapter 3: Crime Waves by the Numbers Statistics matter, encourage their perspectives and ideas about crime; get it from the media; it is easy to get information from the media, you just have to listen Three things viewers want to know about a crime: 1) if crime is increasing, 2) decreasing, 3) if it is happening around them Innumeracy and Number Numbness Innumeracy illiteracy of numbers; dont know how statistics are collected, generated, how they are interpreted Number Numbness inability to understand large or small numbers in statistics; we do not understand and think of the worse Why its a problem and why we are having issues with innumeracy Lack of rigorous mathematical education in schools Loud and proud about inability of understanding statistics Mathematics = impersonal, not fun, not emotional or full of drama or excitement, no opinions Statistics in the Raw Incidents occurring in succession; changes our perspective of what is actually going on Worsening Effect if individuals look at crimes and see that a particular one is declining, they are upset that it isnt eliminated Crime Clock Issues we cannot look at population changepopulation demographic; cant use number of seconds to determined; raw data numbers that have not been processed to be used **Emergent Crime Problems Established have culture or legal history; been around for a long time (murder, rape, theft, kidnapping, robbery) Emergent new; cybercrime, identity theft, carjacking, road rage, home invasion Problem: statistical data does not exist the guessing game Jenkins (1994) and the Serial Killer Crime Wave you cant contribute victim to serial killer Large numbers = puts issue on agenda and keeps issue in the forefront Statistical Record Keeping = Social Process Interpretation of a crime is key in terms of looking at a type of crime; skew data Misinterpretation of a crime; think a crime happened to them but it did not or think a crime didnt happen to them and it actually did Redefinitions of crime (theft, vandalism, stalking) interpretation of crime is going to be different from person to person Tolerance of a crime viewed differently Manipulation of statistical data Funding, universities, public impression
More Less

Related notes for CRJU 20423

Log In


Don't have an account?

Join OneClass

Access over 10 million pages of study
documents for 1.3 million courses.

Sign up

Join to view


By registering, I agree to the Terms and Privacy Policies
Already have an account?
Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.

Add your courses

Get notes from the top students in your class.