When the Innocent are Incarcerated
What could be worse than being convicted of a terrible crime, of which you did not commit, and XXXXX placed in XXXXXX with truly hardened XXXXXXXXX? Unfortunately, this XXXXXXX more frequently than XXX would like XX imagine. XXXXXXXXXX, XXXXXXX XXXXXXXXX and The XXXXXXXXX XXXXXXX, a XXXXXXXX litigation XXX XXXXXX XXXXXX XXXXXXXXXXXX dedicated to XXXXXXXXXXX wrongfully convicted individuals, XXXX of XXXXX XXXXXXX convicted XXX being XXXXX exculpated (LaPorte, 2017). XX a XXXXXX of fact, according XX the Innocence XXXXXXX, as XX July 31, 2016, 351 individuals XXXX XXXX XXXXXXXXXX XXXXXXX of XXX XXXXXXXX and an additional XXX alternate XXXXXXXXXXXX have XXXX identified (The Innocence Project, n.d.). DNA XXXXXXXX, however, XX not XXXXXX XXXXXXXXXX or accurate.
XXXXXXXXXXXXXXX XXXX XXXXX during a XXXXX XXXX XXXXX-referenced XXX XXXXX XXXX were labeled XX “un-XXXXXXXXX” XX XXX Innocence Project against XXX same 157 XXXXX XX XXX National Registry XX XXXXXXXXXXX’s (XXX’s) website. XXXXXXX both XXXXXXXXXXXXX classify forensic XXXXXXX factors differently, XXXXXXXXXXX the XXXX proves to XX XXXXXXXXXXX. Included in the study is a discrepant XXXX XXXXX showing 24 XXXXX XXXX different XXXXXXXX. XXX nominal XXXXXXXXX XXXXXXX the individual's name, the XXXXX XXXX reside in, XXX XXXXXXXXX Project narrative XXX the XXXXXXXXXXXX XXXXXXX XXXXXX on XXX XXXXXXXX XXXXXXXX of XXXXXXXXXXX website. XX all 24 XXXXX, contributing factors are XXXXXXXXX for XXXX XXXXX (XXXXXXX, 2017).
XX conclusion, XXX cannot deny the power XX XXX as a leading XXXXXX XX XXXX-turning cases in which the XXXXXXX XXX XXXXXXXX, however, a more XXXXXXX XXXXXXXX in the study of such XXX XXXXXX XX in implemented in order XX avoid XXXXXXXXXXXXX. For XXXXXXX, “accreditation, implementation, and enforcement of a code XX XXXXXX, and XXXXXXXXXXX training XXXXXX mitigate XXXXXXXX misconduct. XXXXXXXX, forensic XXXXXXXXXX XXXX avoid ambiguous XXXXXXXXXXX in their XXXXXXX and testimony because they will XXXXXXX XXXXXXXXXXXXX, litigators, and factfinders. XXXXXXX, XXXXXXXX XXXXXXXXXX XXXX XXXXXX impartial and XXXXXXXXX XXXXXXXXXXX XXXXX on XXXXXXXX and reliable techniques. In addition, errors XXX XXX XX XXXXXX XXXXX, XXXXXXXXX it XX critical XX XXXXX XX the XXXXXXXXXX XXXXXXXX XXXX contributed to XXX XXXXX XXX then to XXXXX XXXX XXX error” (XXXXXXX, 2017).
XXXX this XXXXXXX, I XXXX that I XXX a better understanding XX XXX XXXXXXXXXXX than when I XXXX XX initial XXXXXXX XXX this class. XXXXXXX of XXXX, I found the XXXXXXX XXXXXX to read XXX XXX data XXXXXXXXX and XXXXXX XXXX XXXX sense and XXXX XX the XXXXXXXXXXX XXXXXX XX XXXX XX a more XXXXXXXX conclusion. XX addition, I found XXXX criminal justice statistics are an XXXXXXXX part of a system that XX XXXXXX for XXX XXXXXXX XX XXX social XXXXXXXXXXX in our country.
References
The Innocence XXXXXXX (n.d.) Help us put an end XX XXXXXXXX XXXXXXXXXXX! XXXXXXXXX XXXXXXXX 05, XXXX, from XXXXX://www.innocenceproject.XXX/
XXXXXXX, X. (XXXX). XXXXXXXX Convictions and DNA XXXXXXXXXXXX: XXXXXXXXXXXXX XXX Role XX XXXXXXXX XXXXXXX. (279). Retrieved December 5, XXXX, from https://www.XXX.gov/XXXXXXXX/XXX/XXXXX/wrongful-XXXXXXXXXXX-XXX-XXX-exonerations.XXXX#note2.