Critical Analysis and Reasoning Skills
(CARS)
Version 1
Disclaimer: This exam does not include previously used MCAT exam questions. The
questions included here are personally made questions designed to reflect the material
covered in MCAT examinations. The goal of this resource is to guide the study of
prospective students.
,Table of Contents
Introduction to the MCAT .......................................................................................... 3
SECTION 2: Critical Analysis and Reasoning Skills (CARS) ........................................... 4
Answer Key (Self-Marking) ...................................................................................... 27
Conclusion & Score Estimation ............................................................................... 33
,Introduction to the MCAT
The Exam Structure
The Medical College Admission Test (MCAT) is a 6-hour and 15-minute marathon
consisting of 230 questions across four sections. Each section is designed to test not
just what you know, but how you apply that knowledge to complex, novel scenarios.
Section Questions Time
Chemical and Physical Foundations of Biological 59 95
Systems Minutes
Critical Analysis and Reasoning Skills (CARS) 53 90
Minutes
Biological and Biochemical Foundations of Living 59 95
Systems Minutes
Psychological, Social, and Biological Foundations of 59 95
Behavior Minutes
Scoring Overview
• Raw Score: The number of questions you answered correctly (there is no penalty
for guessing).
• Scaled Score: Each section is scored on a scale from 118 to 132.
• Total Score: The sum of the four sections, ranging from 472 to 528. The midpoint
is 500.
, SECTION 2: Critical Analysis and Reasoning Skills (CARS)
Time: 90 Minutes
Questions: 53
Format: 9 passages with 5–7 questions each.
Note: CARS is a test of critical thinking and reading comprehension. Unlike the
science sections, no outside knowledge is required. All answers must be
supported by the text provided.
Passage 1 (Questions 1-6)
The rise of "surveillance capitalism" represents a fundamental shift in the nature
of the digital economy. In its infancy, the internet was envisioned as a
decentralized utopia of free information. However, as the initial "dot-com"
bubble burst, tech firms pivoted from providing tools to harvesting "behavioral
surplus"—the vast trails of data left by users as they navigate online spaces. This
data is not merely used to improve service, but is processed into "prediction
products" sold to advertisers to anticipate and influence future behavior.
Critics argue that this creates an asymmetric power dynamic. Users are
"nudged" by algorithms designed to maximize engagement, often at the expense
of their own autonomy or psychological well-being. Proponents, however,
contend that this model is the only reason the modern web can remain "free" to
the user. They argue that personalized advertising is a service in itself,
connecting consumers with products they genuinely desire.
Yet, the danger lies in the "black box" nature of these algorithms. When the logic
of a decision—be it a credit score, a job application, or a news feed—is hidden
behind proprietary code, accountability vanishes. The erosion of privacy is not a
byproduct of this system; it is the necessary raw material. To reclaim digital
sovereignty, we must move beyond the "opt-out" culture and demand structural
transparency in how behavioral data is commodified.