1.1.Most people reject ads because most of them have little to do with them.
1.1.1.U.S. News' college ranking model stimulates wealthy and middle-class students and their families to invest heavily in college applications.
1.2.Predatory advertising is a form of mathematical destructiveness.
1.2.1.Predatory advertising seeks out inequalities and exploits them on a large scale, and the result is that existing social stratification is further entrenched.
1.3.Predatory advertising focuses on the most desperate people in society on a massive scale.
1.3.1.The marketing target group is people who are "isolated", "impatient" and "low self-esteem".
1.3.2.Single mothers with children who make a living on social assistance.
1.3.3.Pregnant women.
1.3.4.Just got divorced.
1.3.5.Low self-esteem.
1.3.6.Work in low-paying jobs.
1.3.7.I have recently experienced the death of someone close to me.
1.3.8.Experienced physical and mental abuse.
1.3.9.Recent incarceration.
1.3.10.Experience of drug addiction**.
1.3.11.Engaging in a job with no future.
1.3.12.There are no people in the future.
1.3.12.1.Pain is their biggest driver.
1.4.Misleading ad headlines are the result of the labor of an entire sordid industry.
1.5.From the perspective of predatory advertisers, the poor people's search engine query behavior and clicked coupons are actually shouting out to advertisers to pay attention to themselves.
1.6.Gradually, the advertising program will gain a deeper and deeper understanding of the target audience.
1.6.1.If this is a predatory advertising program, it will assess the shortcomings and weaknesses of the target demographic and find the most effective way to extract value from them.
1.7.Victims have little to no idea how they were selected or how advertisers were able to get that much out of them.
1.8.The rapid growth of for-profit universities has been aided by the rise of predatory advertising.
1.9.For-profit universities are far from the only ones that use predatory advertising to make huge profits, and there are many similar institutions and industries.
1.10.The payday lending industry is heavily supported by a large number of data vendors and prospect developers, many of whom can be called "scam artists."
2.1.The poorest 40 percent of the U.S. population is in deep despair.
2.1.1.Many industrial jobs disappeared and were either replaced by new technologies or moved overseas.
2.1.2.What these people really need is money.
2.1.3.They have been indoctrinated with the idea that the key to making money depends on the level of education.
2.2.The value of fragility is like.
2.3.For-profit universities are targeting another, more vulnerable group.
2.3.1.The math used by for-profit universities is extremely precise and targets the most vulnerable.
2.3.2.Mathematics, in the form of complex models, fueled the development of an entire predatory advertising industry, leading potential student clients to apply to these for-profit colleges.
2.3.3.The "bait" released is an opportunity to break through the inherent class and rise one step higher.
2.3.3.1.They provide an opportunity for education for the disadvantaged, promising them a bright future, an attractive opportunity to break out of their own classes, and as a result, students from poor families are saddled with more debt.
2.3.3.2.This "bait" also implies an underlying criticism of its target, which is that these underclasses are not making enough effort to improve their lives.
2.3.4.It is more likely to target people in poor areas, especially those who click on payday loan ads or are concerned about post-traumatic stress disorder.
2.3.4.1.Veterans are the main source of students at for-profit colleges, in part because they are more easily funded.
2.4.Customer ignorance is the key to this ***.
2.4.1.The target students are all foreign immigrants who believe that private universities are better than public universities.
2.4.2.If they mean Harvard or Princeton when they say private universities, then this is true.
2.4.3.All private universities, including for-profit universities like the University of Delure and the University of Phoenix, are better than any state university (like the University of Berkeley, the University of Michigan, or the University of Virginia) that only newcomers would believe.
2.4.3.1.Diploma Factory.
2.4.3.2.A for-profit college diploma is worth less in the workplace than a community college diploma and is about the same as a high school Chinese diploma.
2.4.3.3.The average tuition fee at these universities is 20% higher than that of the top public universities
2.4.4.Once the signs of ignorance have been confirmed, the next major job for admissions officers is to target the most susceptible ones and then use their private information to launch targeted "attacks" against them
2.4.4.1.Behind it is the foreshadowing of a whole industrial chain.
2.5.Enrolling students in all their forms is the core business of for-profit universities, and in most cases, they invest much more in this area than in education.
2.5.1.Most of the advertising money at for-profit universities goes to Google and Facebook.
2.6.For-profit universities also offer some free services in exchange for face-to-face conversation with students.
2.6.1.These universities offer free training to guide students in writing resumes.
2.6.1.1.These trainings are really beneficial to the students.
2.6.2.Among them, those poor students who provide *** will become the target of the university after the training.
2.7.The dangers of predatory advertising aided by mathematical models don't become apparent until students apply for large loans to pay their tuition.
2.7.1.For-profit colleges can increase their loan amount to 9 times the loan amount.
2.8.For-profit colleges don't bother wealthy students because they have a strong ability to distinguish between them and their parents.
3.1.A program that uses the Internet to screen target populations.
3.2.The goal is to create a list of potential customers that the middleman will give to the appropriate merchants.
3.3.Within 5 minutes of registering with the university**, the prospective student client receives the admission**.
3.4.Within a month of registration, each potential student client receives an average of more than 180 enrollments**.
4.1.Data scientists first optimize marketing funnels using Bayesian methods, which are very close to regular bonds from a statistical point of view.
4.2.Personal data is a key parameter for all mathematical lethalities**.
4.3.In a sense, computers are learning.
4.4.Models built on big data are starting to sift through the data about us on their own, finding our habits, wants, worries, and desires.
4.5.A modern version of the so-called AB test that has been used by direct mail marketing practitioners for decades.
4.5.1.If you just throw the email away without even reading it, you're giving the advertiser a valuable piece of data that the ad has no value to you.
4.5.2.The next time, they'll try a slightly different way to send the email again.
4.5.3.A 1% response rate is already a success.
4.5.3.1.The data they have is enormous.
4.6.With the rapid growth of artificial intelligence's machine learning capabilities, computers only need to be given a few basic instructions to mine data to the maximum.
4.6.1.For many jobs, machine learning is more flexible and sophisticated than traditional rule-bound programs.
4.7.Algorithms can discover patterns on their own and then relate them to an outcome based on time variables.
4.7.1.The language ability of the algorithm has improved from kindergarten to middle school students, and the language ability of some apps has improved even faster.
4.7.2.Advancements in natural language recognition algorithms have created a wealth of possibilities for advertisers.
4.8.One of the defining characteristics of math lethality is that it can endanger the lives of many people.
4.9.Some of the most efficient, and at the same time, worst mathematically lethal** can circumvent laws and regulations.