Prediction Markets Let You Bet on Anything. That’s a Problem


In late May, federal authorities charged a Google software engineer with insider trading after he won $1.2 million on the prediction-market website Polymarket. The 36-year-old Michele Spagnuolo allegedly placed bets that musician D4vd and rapper Kendrick Lamar would top Google’s most-searched list. The bets paid off, prosecutors said, because Spagnuolo had access to confidential company data. 

The popularity of prediction markets, where you can bet on thousands of real-world outcomes across nearly every facet of modern life, is spreading faster than governments can keep up. Even Mark Zuckerberg, Meta’s chief executive, is reportedly developing a standalone prediction market app to compete with the most popular platforms, Kalshi and Polymarket

You may have even been tempted yourself to put down cash on your favorite pop-culture hunch. But the recent Google case highlights just one of the biggest concerns for a multibillion-dollar industry prone to abuse. Numerous insider trading cases have prompted federal regulators to intensify scrutiny, cracking down on the illegal use of classified information for betting. 

A New York Times investigation in May flagged more than 11,000 Polymarket accounts for suspicious, high-profit trading patterns, often involving perfectly timed bets on geopolitical events, and flawless, loss-free track records. And it’s not just corporate employees; it’s also military personnel and government officials manipulating classified information. 

blue image of polymarket

With Polymarket, users trade shares using cryptocurrency to bet on the outcomes of real-world events. 

Adobe Stock

A US Army special forces soldier allegedly received a payout of $400,000 by “predicting” the capture of Venezuelan president Nicolas Maduro. Former Congressman George Santos allegedly won tens of thousands of dollars by betting he wouldn’t be at Trump’s State of the Union address, despite posting on X that he would be.

Just last week, a Wall Street Journal investigation revealed that Polymarket ran a deceptive, secret marketing campaign by paying social media influencers to film fake trades and stage massive winnings on lookalike dummy websites to draw people in.

“This industry is growing fast and will continue to grow as long as courts and regulators allow it,” Columbia University professor of economics Rajiv Sethi told CNET.

People generally have strong opinions surrounding prediction markets, and many (like me) feel a bit icky about them. But how the industry shakes out will depend on several regulatory battlegrounds. Prediction markets are facing intense pushback from lawmakers over insider trading, highlighted by a congressional probe and a proposed bill to ban prediction-market bets by service members. Yet because no one can agree whether betting markets are legitimate financial tools or just a glorified form of gambling, they’re causing a massive headache at the state and federal levels. 

Kalshi logo displayed on phone with another phone behind it with stock lines

Kalshi lets users trade contracts on events ranging from politics and economic data to weather and sports. 

Adobe Stock

How prediction markets work

To any casual observer, Polymarket and Kalshi seem like virtual casinos, except you’re betting against other participants, not against “the house.” You can buy and sell contracts about anything: the weather, geopolitical events, election results, sports, entertainment awards, ad nauseam. 

Several high-profile predictions over the past several months involved the US attacking Iran, Michael B. Jordan winning the Oscar for Best Actor and bitcoin topping $125,000. You can even predict if someone is going to utter a certain word in a speech or news conference in what are called “mention markets.” 

With a mainstream boom in prediction market platforms over the last few years, other companies have joined the fray: Robinhood, PredictIt, Metaculus and even traditional sportsbooks FanDuel and DraftKings

These types of “idea futures” aren’t new, though. Informal information markets date back hundreds of years, as seen in the 1500s in Italy, where people predicted who the next pope would be.

Today’s prediction markets claim they aren’t technically gambling or akin to trading stocks, even though you’re risking money in hopes of a profit. In essence, you’re predicting something will or won’t happen. For every “share” you buy for that event outcome, you get $1 if you’re right and nothing if you aren’t. The markets don’t set the “odds,” and neither do the platforms — the traders do.

The amount of shares you’re able to buy for a certain outcome depends on how many shares are being sold for the opposite outcome by other traders. For example, if you wanted to buy 500 shares of a Yes outcome on France winning the World Cup, there would have to be 500 corresponding shares of No on France winning. 

Though the basic unit for prediction markets is only $1, business is booming for Kalshi and Polymarket, which collect transaction fees for each trade. Together, they’ve crossed $150 billion in lifetime trading volume.

Polymarket weather screenshot

Polymarket offers predictions on the weather and a lot else.

Polymarket/Screenshot by CNET

A personal look inside

I’m not a bettor. I suck at poker, I still can’t understand a Daily Racing Form, and don’t get me started about March Madness brackets. So, I’m not about to test my luck (yet) with Kalshi or Polymarket, but I did want to take a peek under the hood.

Kalshi and most other prediction markets are available for customers in all 50 states, but Polymarket, a cryptocurrency-based company, is restricted in the US and several other countries, at least for now. Some people try to bypass geographic restrictions using a VPN, even though Polymarket says it blocks VPN IP addresses.

Kalshi and Polymarket both offer a dizzying array of exchanges. Kalshi has basic event categories, from the California governor race to the price of a gallon of gas. It also has some rather off-the-wall ones, like the “Scary Tomatoes” score on Rotten Tomatoes and the US government’s disclosure of aliens. 

The mention markets on Kalshi were even stranger. Will someone say “road trip” or “meals for two” during the next Cracker Barrel earnings call? What will the hosts say during Love Island Aftersun? I’ll pass.

Columbia professor Sethi advises anyone interested in trading prediction markets to tread lightly at first.

“Most novice retail traders lose money, so my advice to those who want to experiment is to focus on events about which you know something about the topic, and keep bets small to begin with, until you get a feel for your likely performance,” Sethi told CNET.

The hard truth is that prediction market traders are far more likely to lose than to win. The Wall Street Journal reported in May that 0.1% of all Polymarket accounts won 67% of the profits. That translates to 2,000 top traders netting more than $500 million, while 1.1 million Polymarket customers didn’t make a profit.

Moreover, given the difficult task of preventing insider trading, I’d say “buyer beware” when trading in these speculative markets. 

Kalshi prediction market screenshot

There are thousands of events to predict on with Kalshi.

Kalshi/Screenshot by CNET

Social function or political tool

Another fundamental question I have is whether these markets serve a socially useful purpose. 

Better Markets, a nonprofit focused on financial and economic justice, argues that prediction markets lack real value. While traditional financial contracts help institutions manage risks, prediction markets do not. Unlike the stock market, they fail to fund businesses or help investors build long-term wealth.

Amanda Fischer, chief operating officer at Better Markets, said that bets around elections or war in Iran “serve no function but to degrade our democracy and encourage insider trading.” According to Fischer, prediction markets look more like gambling, especially since over 90% of bets on those platforms are related to sporting events. 

In response to scandals around insider trading, Kalshi says it is aggressively self-policing by tracking suspicious activity and requiring some of its users to disclose their employers. Kalshi also says its safeguards against politicians and athletes are stricter than those of traditional stock exchanges.

US President Donald Trump and Donald Trump Jr. walk on the south lawn toward the White House in Washington, DC

Donald Trump Jr. (left) holds official advisory roles at both Kalshi and Polymarket. 

Mandel Ngan/AFP/Getty Images

Meanwhile, Polymarket’s decision to maintain user anonymity has drawn heavy criticism from financial experts, who argue it leaves the platform vulnerable to fraud. Without strict identity verification, the platform allows insiders to exploit nonpublic information while enabling bad actors to “spoof” trades and trick ordinary people into following fake trends, according to Sethi, who wrote an opinion piece for the Financial Times titled “Polymarket Anonymity Must End.”

As prediction markets continue to face security concerns over fraud and insider trading, they have a powerful shield from the federal government and President Trump, who has aggressively pushed back against state-level restrictions. 

This political alignment is further complicated by the president’s son, Donald Trump Jr., who reportedly has an eight-figure investment in Polymarket and serves as an adviser to Kalshi. Although his involvement has sparked intense suspicion of a conflict of interest, Trump Jr. maintains that he does not trade on the platforms or lobby the government on their behalf.

A regulatory dilemma 

At its core, the regulatory mess stems from an identity crisis. Prediction markets are hard to classify, straddling the line between commodity contracts and security-based investments. This has triggered a massive turf war over jurisdiction, as the federal government attempts to override state and tribal gaming laws that view these markets as illegal sportsbooks trying to bypass local restrictions.

green kalshi advertisement on a train in DC says its rule is to ban insider trading

Kalshi says it strictly prohibits insider trading and actively screens users who trade on confidential data. 

Daniel Heuer/Bloomberg/Getty Images

Several US states and even private citizens have sued Kalshi, claiming the company has violated state gambling laws. Native American pueblos and a tribe in New Mexico have also sued Kalshi, alleging the company is violating gaming agreements and federal law.

Sandia Pueblo Gov. Stuart Paisano, one of the plaintiffs, in a statement, said, “The use of prediction markets for gambling purposes diverts essential revenue away from our governments, provides an end-run around regulation of gaming on our lands, and allows gaming by underage people.”

At the federal level, prediction markets are formally categorized as commodities and derivatives, placing them under the jurisdiction of the Commodity Futures Trading Commission, or CFTC. 

Kalshi CEO Tarek Mansour, who, along with fellow MIT graduate Luana Lopes, founded the company in 2018, says prediction markets aren’t traditional sportsbooks but more like open marketplaces. Mansour says Kalshi’s event contracts are financial derivatives, just like common futures, options and swaps, and should be appropriately regulated by the CFTC.

But some legal scholars and financial reform advocates argue that prediction markets should fall under the purview of the Securities and Exchange Commission, or SEC.

According to Better Markets’ Fischer, the CFTC has fewer tools to police insider trading in prediction markets. As an agency tasked with specifically overseeing agricultural and certain financial derivatives, it was only recently self-appointed as a gambling regulator. “As a result, there are some gaps and ambiguity in the CFTC’s legal framework,” she said. 

Fundamentally, the CFTC’s rules on insider trading are historically much weaker than the SEC’s. “The SEC has 90 years of law and legal precedent, which have created a robust set of rules around insider trading,” said Fischer. 

logo of Commodity Futures Trading Commission (CFTC) displayed on a smartphone in front of abstract background on phone screen.

The CFTC is supposed to act as the federal watchdog over Kalshi and take direct legal action against insider trading and market manipulation. 

Timon Schneider/SOPA Images/LightRocket/Getty Images

The CFTC is also chronically understaffed, according to Fischer. The agency has cut more than 20% of its staff during the second Trump administration.

Fischer said CFTC’s enforcement is a “drop in the bucket” compared with the enormous volume of trades being transacted at Kalshi. “The CFTC has only been able to identify and prosecute the most egregious cases, and in many other instances, has delegated enforcement to firms like Kalshi, whose only tool is to kick users off the platform,” Fischer said.

Do we really need this?

The danger of prediction markets is the financialization of our society at large, where “every opinion is a tradeable asset,” wrote Jathan Sadowski, associate professor at Monash University in Melbourne, Australia.

There’s also a risk if prediction markets define “truth” as simply a publicly verifiable consensus. If, as Sadowski noted, “the market is the ultimate arbiter of what’s valuable and true,” that leads to a “world that creates endless incentives for arbitrage, manipulation, collusion and exploitation in the pursuit of profit extraction.”

In an episode of Last Week Tonight on prediction markets, comedian John Oliver asked if we’ll be able to believe our eyes when future events occur. “When something unexpected happens in the world, it would be really nice not to have to automatically question whether it’s only because someone is trying to move a market.”

At the end of the day, I keep coming back to why these tools exist in the first place. Prediction markets shouldn’t just be a playground for day traders looking for their next fix. But to prove that it’s not just another corrupt form of speculative gambling, the industry has some massive hurdles to clear. 

CNET’s Laura Michelle Davis heavily contributed to and edited this story.





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Cyber Security VS Software Engineering – Table of Content

What is Cyber Security?

The cyber security industry is a fascinating field in the IT sector and apt for those who are ready to accept the challenges. The term cyber security can be defined as it is a type of IT application that designs and implements secure network solutions specially designed to act as a shield against hackers, persistence attacks, and any cyber-attacks.

Cyber security engineers are those who involve in designing and implementing security solutions to defend against various threats, cyber-attacks, and malware attacks. They are also involved in testing and monitoring the system devices to make us assure that all the system devices are up-to-date and ready to defend against any type of attack.

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What is Software Engineering?

Software engineering is also known as a Software architect or programming engineer, which involves analyzing the specific needs and creating the tools that are required to build software-related applications as per your or your client’s requirement.  The software engineer should have knowledge of software design, computer programming skills, such as python, Java, JS, Ruby, and other operating system knowledge like UNIX, and LINUX.  

Software developers are those who create software applications from already existing software applications whereas Software engineers are those who create the frameworks on the new software product which you are going to build.

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Cyber security VS Software Engineering:

In this section, we explain the major differences between cyber security and software engineer as per a few categories. Let’s start;

1. Cyber security VS software engineering: Roles and responsibilities

 First, start with knowing the roles and responsibilities of aby cyber security engineer:

  •   Cyber security engineers or we can call them cyber security analysts they involve in implementing and creating plans, security portals to protect the computer network integrity, mobile devices from any kind of malware attacks or ransom attacks.
  • They are responsible for creating software and updating the computer hardware devices to implement security-related plans.
  • The information security analyst must involve in the constant monitoring of the networking devices to have a security breach.
  • They must involve in creating security incident responses to help minimize the damage caused by any type of malware attack.
  • Experienced cyber security professionals involved in communicating the plans or protocols to work enough to detect the intruders.
Software engineering roles and responsibilities:
  • Software engineers are responsible for building, maintaining, evaluating, and testing the new software.
  • They should have a deep understanding of information systems,  information technology, and programming. 
  • Sometimes they involve in developing the applications and should have a piece of knowledge in mathematics, and algorithms.

2. Cyber security and software engineering skills and qualifications:

Cyber Security Skills and qualifications:

  • Candidates must hold a bachelor’s degree in computer science, and IT system engineering.
  • They should possess a minimum of two years of work experience in cybersecurity-related roles such as incident detection, responses, and forensics. 
  • Should have experience with the functionalities, operations, and maintenance of firewalls and various forms of endpoint system device security.
  • Must have proficiency in languages and tools such as C++, Java, Node, Python, Go, Power shells, and Go.
  • They should have the ability to work in fast-paced work environments, often under some work pressure.
  • Posses the right eye for details and must have outstanding problem-solving skills.
  • Must have a piece of up-to-date knowledge of cyber security industries, trends, and hacker tactics.
Software engineers skills and qualifications:
  • Strong knowledge in engineering, computer science, and mathematics.
  • Should have strong experience in software development.
  • Should have proven programming experience (various programming language skills).
  • Experience in using different kinds of tools and techniques the software development.
  • Creative and adaptive at problem-solving.
  • Deep knowledge of concepts and algorithms.
  • Strong coding knowledge is a plus.

3. Cyber security and software engineers salary:

Cyber security engineer salary:

According to ziprecruiters.com, an average salary for any cyber security engineer earns $49, 750 and a software security architect earns $135,800.

Software engineer salary:

According to indeed.com, an average salary for any software engineer earns $50, 000 and an experienced software architect earns $111, 430.

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4. Cyber security and software engineers: career path

Cyber Security Career path

In the cyber security field, you will get to see various kinds of specializations. Let us know them;

  • Cyber security analyst: should have a piece of strong knowledge of analytical and thinking. They must be creative problem solvers.
  • Cyber security engineers: they should have experience in different operating systems and strong experience in various database platforms.
  • Cyber security managers or administrators: should have a strong experience with firewalls, and a basic understanding of proxy servers, packet shapers, and load balancers.\
  • Cyber security consultants: must have an in-depth knowledge of IT security measures and protocols, and methods to detect intruders. Must have experience in finding and repairing the damages. 
  • Information security Analyst: Experience in providing IT support, and have an organized or in-depth knowledge of intrusion detection systems. Effective problem solver, organized, and detail-oriented.
Software engineer career path:

Below are the few niches where you can get specialized;

  • System engineers: should have a basic understanding of principles and techniques. They must be able to use databases and MYSQL.
  • Full-stack engineer: must have a strong coding knowledge, able to manage both front-end and back-end development tasks. Understanding of system protocols and techniques. 
  • Software engineers: a deep understanding of the developments, coding, building, and deploying applications. Should be proficient with various and multiple coding knowledge. Must have hands-on experience in software-oriented architecture. Able to work independently and must involve in team building. 
  • IT security specialists: must have an in-depth knowledge of IT security tools, anti-virus software management, content filtering, and firewalls. Should have experience with coding, and be able to identify any malicious attacks.
  • Cloud engineers: able to create roadmaps that take you into the storage capacity, and should be a problem solver. Should be able to communicate with all the levels of employees.
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5. Cyber security and software engineers: Certification lists

Cyber security engineer certification lists:

Below is the list of major cyber security engineer certifications:

  • COBIT 5 control objectives for information and related technologies.
  • COBIT 5 Professional certification.
  • CompTIA security+certification -SYO-601.
  • CISA certification and training
  • CND – certified network defender
  • CHFI – Computer hacking forensic investigator certification
    CISSP certification
Software engineer certification lists:

Below is the list of major software engineer certification lists:

  • Certified secure software lifecycle professionals.
  • Certified software development professionals
  • Certified software engineer
  • CIW web development professionals
  • C programmer certification
  • C++ certified associate
  • MYSQL Oracle certification
  • Microsoft fundamental certifications 
  • aws associate certification
  • Salesforce fundamental certifications

Which career is best for you?

Here we are going to list out a few reasons to choose the best career;

You should consider cyber security if;

  • You intend to get a 4-years of degree
  • You can handle anxiety or work pressure
  • You can communicate verbally and orally.
  • You enjoy solving puzzles
  • You can multi-task 

You should consider software engineer if;

  • You like to learn things hands-on (real-time).
  • You have a genuine interest in programs or coding
  • You are a self-learner 
  • You are a good team handler 
  • You are unique, creative, and innovative.

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Final words:

It is very difficult to say which one is the best without determining the parameters for that. If you are someone who has a desire to get a college degree, then we must say the cyber security profession is the easy choice for you. Suppose if you are more interested in self-learning, then cyber security would be a difficult field for you. If you are someone who has a desire to learn to code, then you can choose the software engineering field. But both careers require mathematical knowledge, and how the algorithm works. So our advice is to choose the right profession based on your priority, and educational background. We must say it’s a wise decision to take! In this Cybersecurity VS software engineer post, we have mentioned important differentiations based on a few parameters. Hope you found this information helpful.

Related Articles:

  1. 1.Cyber Security VS Data Science
  2. 2.Cyber security Technologies
  3. Quickbooks Interview Questions



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