‘I haven’t done this for any other games,’ said the developer. ‘This one was just to see how it works.’
Hacking the HQ trivia app has been a white whale in the development community since its meteoric rise became the subject of New York Times profiles and late night show segments.
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Over
one million people tune in to play the quiz app daily, but no one has
successfully hacked HQ in order to gain a significant advantage.
The
person who has come closest, however, is a 33-year-old dad and web
developer in Canada, who found a way to plug into the HQ’s back end and
spit out likely answers—before the question even appears on most users’
screens.
In a few Daily Beast tests, it correctly answered about
90 percent of the questions. In the most recent test on Tuesday night,
after we asked HQ about bots on its platform, that dropped to 40
percent.
HQ Trivia Assistant accesses the app’s API via a proxy
connection with the user’s computer. It then pulls in and displays each
question seconds before the host, Scott Rogowsky, announces it on screen
and spits out a list of the answers with percentage points next to
each, showing how likely each query is to be correct.
The result is a screen that looks like this for each question:
The
bot accomplishes these results by grabbing each question from the app’s
transcript via its API, simultaneously searching the question via both
Google and Yahoo search, then scraping the preview text on each link for
words contained in each answer.
The bot is not without flaws and far from guarantees a win. In fact,
Mike Almond, the creator, said he hasn’t won once with the bot's
assistance.
One web developer who tested the bot made it all the
way to question 11 with the bot's assistance one day, then was
eliminated on the third question the next day.
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Part of that is
because the bot has trouble handling certain queries. If all all three
answers have the same word in them for instance, or if the answers
include numbers, dates, or ranges it throws the program for a loop.
Almond
said there were probably ways to fix these bugs, but he hasn’t had the
time. He created the bot more for his own entertainment and to better
understand how the app worked than to game the system or win serious
cash.
“I haven’t done this for any other games,” he said, “this
one was just to see how it works. I am not into making money or anything
out of it, I like to see things how work and I use it as a teaching
moment.”
The
bot currently works best as a helpful tool for when users aren’t
completely sure of the answer to a specific question rather than a
silver bullet solution to the app.
It will sometimes return
results with an even split, each query receiving a near 33 percent
chance. In other cases the Google and Yahoo results will conflict with
each other. (Strangely, as Almond told us, Yahoo tended to be more
definitive and also more correct.) Or the answer it gives will be
straight up wrong.
The bot got nine out of 11 answers correct on
Tuesday afternoon’s game. (Only one of the questions was fully wrong. We
counted one return, where each answer had an equal chance of being
correct, as wrong, and the bot disconnected for one of the questions.)
In a particularly tough test, the bot figured out a seeming trick question in the game’s final round.
The
correct answer to the question “What car is sung about by Will Smith,
Charli XCX, and Janis Joplin?” was “Porsche”—and not “Mercedes Benz,” a
famous Janis Joplin song. Only 33 people worldwide got that question
right—and the bot was one of them.
When The Daily Beast leveraged
the bot on Tuesday afternoon’s game, we were eliminated on the sixth
question. On a later test that evening, the bot produced wrong answers
for eight of the 12 questions.
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That night, when asked “What are
the names of the Rice Krispies mascots?” the bot suggested the incorrect
answer of “Pinky and the Brain.” Then, when asked “What animal is
‘Charlotte’ in Charlotte’s Web?” The bot suggested “A dodo bird.”
When
reached for comment on Tuesday evening, an HQ spokesperson said that
the company “expressly reserves the right to disqualify any entries that
it believes in good faith are generated by an automated means or
scripts.” Any entries that are found to be generated by script will be
marked as void.
Almond said that the bot works best as a tool to
double check your gut response or to allow you to better guess on
questions where you have no idea about the right answer.
If he’s
not out picking up his kids or running to a meeting, Almond and his
co-workers often play the game together at 3 p.m. using the bot’s
assistance via a large projector screen at the office.
“It’s quite likely other people are making bots to [win].”
He
said building the app took him a total of only eight hours and once he
placed the code for the app on Github word of his creation began to
spread in the web development community.
“We’re all web developers
so we wanted to see how this thing works,” he said. “I thought it would
be a fun thing to do in my spare time. I threw it together when I got
home from work and over the past month or so it’s been getting more
accurate.”
After weeks of both users and winners increasing each
day, HQ users in the embedded comments section have for weeks blamed the
surge in users with perfect scores on bots. That in turn has led to
split purses and rapidly dwindling prize money.
One viral video from earlier this month showed a woman crying with excitement after winning $11.30
on the app. Users who win can’t withdraw their winnings without earning
a total of $20, meaning she’d have to achieve another perfect game
before cashing out.
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Almond believes a secret army of bots like are
likely his are at least aiding winning players. He’s seen similar
implementations of his HQ Trivia Assistant, but ones that use a method
that is inherently much slower. Those apps take a snapshot of the
question using OCR, or optical character recognition, then spit back
probable answers just in time for the user to decide.
Nobody until Almond had developed a piece of software that plugs into the back end of the app itself. At least not publicly.
“It’s
quite likely other people are making bots to [win],” he said. “The idea
that I’m going to automate it so that we had 20,000 different bots is
probably unlikely. But I’m sure someone’s tried it.”
Because of
the technical nature of his program, Almond said he’s had several people
reach out to him and ask how to implement it. He acknowledges that
getting the bot set up is not easy for those who aren’t intimately
familiar with the way computers work.
Almond said he encourages
others to refine his code and fix the glaring problems—namely, what to
do when all of the answers have the same word in them—but he’s run into a
much bigger problem: He’s a 33-year-old dad, and he doesn’t really have
time to mess with his game show app hack at the moment.
“I think well if someone can make a better or fix the weird thing with dates or numbers by all means go nuts,” he said.
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