KQED61%

What Does It Take to Get a H-1B Visa? This Video Game Shows Just How Complicated It Is 0%

By Azul Dahlstrom-Eckman29%

3/19/2026, 2:00:15 PM

BS Summary: This article contains 10 faulty reasoning types, including Anecdotal, Politically Left Leaning Bias, and Appeal to Authority, with Appeal to Emotion as the most egregious example at 13.8% saturation with 101 hits. Analysis detected 408 faulty-reasoning hits from 734 analyzed words, generating a BS Score of 0% and a BS Rank of 0% (0 of 16,813 articles). This article is better (less manipulative) than 100.00% of the article peer group.

For Allison Yang, the founder of the video game studio Reality Reload, the H-1B visa process has all the basic elements of a game. 
Time, skill, strategy and a lot of rules. 
Players have a certain degree of control, but other aspects are pure luck  similar to the roll of dice. 
“The player is usually the one who has the least power, but they are the one who has to play through. 
So, that tension is something we wanted to focus on,” Yang said. 
These elements  along with a desire to highlight the United States’ shifting immigration policies and their impact  inspired Yang to release a prototype of h1b.life, which aims to simulate the H-1B visa application process. 
“We wanted to build a life simulation of people who are going through this process,” said Yang, who recently showcased the game at a game developers conference in San Francisco. 
The H-1B visa allows immigrants in a number of professional fields to legally work in the country. 
Tech companies in Silicon Valley have long used the program to recruit top talent from around the world. 
Every year, hundreds of thousands of people apply to the lottery, which is capped at 85,000. 
In h-1b.life, players take the role of an immigrant trying to get and maintain H-1B status. 
Playing on a smartphone, the top half of the screen has life scenarios, and the bottom half shows a series of choices. 
“You are a 20-year-old exchange student from Shanghai, and this is your first time in the United States,” reads the opening lines of the prototype. 
“During high school, you spent hours and hours on your laptop, binging Gilmore Girls on shady, unauthorized streaming websites. 
Everything in your drowsy new town reminds you of the show.” 
These storylines are drawn from around 20 interviews with H-1B applicants, according to Yang. 
She said h1b.life aims to show the uncertainty of immigrants trying to keep their visa status. 
In the game, players succeed by maintaining four core attributes: intelligence, wealth, social support and burnout rate. 
If any of these run out, it triggers a “roll the dice” feature where different gods decide players’ fates. 
One of these characters, known as “orange god,” bears a strong resemblance to President Donald Trump. 
The Trump administration’s ongoing immigration crackdown has imposed several new rules on the H-1B visa lottery. 
Under the latest regulations, employers seeking to sponsor an H-1B applicant could be subject to a $100,000 fee, as well as more selection factors, such as salaries, and limitations on visa appointment locations. 
“Getting selected is a feat that some individuals spend years hoping to achieve, and many are disappointed and they are not able to successfully make it through, and they have to leave even after putting down roots in this country,” said Sophie Alcorn, an immigration lawyer based in Palo Alto, whose clients primarily include H-1B applicants seeking to gain authorization to work in Silicon Valley. 
Alcorn said a video game representation of the H-1B process makes sense. 
“There’s randomness, there’s luck, there’s skill, there’s strategy, there’s positioning yourself, there’s trying to go around and collect badges and items to upskill to be able to get to the next level, just like in a game,” she said. 
At a recent showcase of the h1b.life demo at San Francisco’s Asian Art Museum, Donduk Dovdon, a H-1B recipient from China who gained U.S. citizenship two years ago, tried the game. 
He said it was too accurate, even triggering. 
“It’s a very long path, and you sacrifice so much personal time, especially with your family,” said Dovdon, adding that he didn’t go home to see his parents for ten years while he was pursuing citizenship. 
Dovdon said he thought the game was “too niche” to have widespread commercial success, but thought it could be useful in other applications, like corporate diversity training. 
Software engineer Krish Chowdhary also played the game. 
He immigrated to San Francisco from Canada on a different work visa, and said what the game does get right is the way it depicts immigration status as a series of choices. 
“When I meet other folks who are on a visa, it’s like one of the first things people talk about. 
Because it weighs on a lot of your other decisions,” he said. 
Confirmation Bias
5.4%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
1.2%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
0%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
2.2%
Straw Man
0%
Appeal to Authority
8.9%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
1.9%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
13.8%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
9.5%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
2.2%
Indoctrination
0%
Politically Left Leaning Bias
9.3%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
1.2%

734 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.