# Ideas

## Correcting Round Investing

Strong evidence suggests that investors suffer from round number bias. I never hear an investor talking about “investing $1.69 million.” Instead, they talk about “buying 50 shares” or “selling at$10.” What if a hedge fund implement a procedure, where investors where forced to choose each digit independently: do you wish to buy 40 million? Or 41 million? 42? Would improving the granularity of judgements improve returns?

## Police Stop 🚓

Every day of senior year, I drove a 30-minute trudge down to high school along Rockville Pike. Whenever there was a police car, I was sure to be late by 20 or more minutes. Whether its an accident or a traffic violation, the arrival of the police dramatizes the situation, clogs up the roadways, and generally pisses everyone off. What are the economic costs to a police stop? Considering the benefits in terms of deterrence and assistance outweigh the harms?

## Imperceptible Weights 🏋️

So much of lifting is mental. I bench 135. 155 is way too much. No fear! Hollow out the barbell of a bench press and make a set of insertible half-pound weights. Secretly, of course. Have trainers slowly add 1 pound to the same 5x5 workout every day, and voila, underconfident lifters can steadily make progress.

## Unified Club App 1️⃣

Consulting clubs, machine learning teams, software development groups, business frats—tens of student orgs, each with their own application that says the same dumb thing in slightly different ways. Let’s strip down the app to the essentials (name, email, academics, resume) and let orgs pick out students to interview or invite to apply.

## LinkedIn Experience Effects 👩‍💼

Ulrike Malmendier is known for her study of experience effects–the unique inlfuence of personal experience on behavior above and beyond acquiring information. In a 2020 keynote, she laments not having more granular data on individual histories. Au contraire! LinkedIn provides fairly detailed employment histories of many CEOs, from GE to Netflix. If a CEO previously saw a company through declines, will they be more prudent in their current role?

## drivers license 🏁

DMVs have loosened road test requirements to reduce COVID-19 risk. In Maryland, passing the test only requires you to park your car. Do lower standards for new drivers increase risk of accidents? Does the adaptation still pass benefit-cost-analysis after considering these externalities? Are we really keeping teens like Olivia Rodrigo safe?

## Chipotle-Starbucks Pairs 🌯

There always seems to be a Starbucks next to Chipotle. Am I just imagining it? Luckily, there’s free data on Chipotle locations and Starbucks locations. Using geolocations, we can evaluate how likely Starbucks and Chipotles are to be within a given radius. To establish a baseline, we can use a random sample of general fast food restaurants.

## Jogging Wind-downs 🏃

Khaneman’s famous studies on pain demonstrated that the peak and end of an experience dominate our retrospective evaluations. In the context of jogging, that might mean that two things are important: how painful was the steepest uphill, and how smooth was the wind-down? Perhaps people would have much brighter views of jogging if they ended each jog with a slow walk, basking in endorphins.

## Debate Styles 🧥

We previously compiled a large database of wiki data, where each debater is mapped to their citations. If we treat each debater as a “document,” can we perform topic modeling on their citations and extract “types” of debaters? Would we see topics that resemble “philosophy,” “kritiks,” and so on?

## Debate-Powered Research 🔌

Debate is a research powerhouse because of the competitive incentives to find the best arguments and the collaborative nature of teams. Put together, the LD debate community probably puts together literally tens of thousands of hours of research on each topic.

## Admissions Noise Audit 🎧

In Noise, Khaneman et al. cite a study by Uri Simonsohn showing that cloudy weather induces college admissions officers to prefer and admit “nerdy” students. No surprise: the people in admissions panels are biased by arbitrary factors. But are they noisy? Could we conduct a nosie audit on a college admissions office, maybe at UC Berkeley?

## Kantian Nudges 👈

Nudges have a slight PR problem. Some libertarians and ethicists worry about the risk of paternalism in swaying people’s choices. Mark D. White’s argument is the closest I’ve seen to a well-formed philosophical argument. What would a more in depth, Kantian analysis suggest? More liberal readings of Kant, such as those articulated by Ripstein, might have a different perspective than the libertarians.

## Chinese Names 🇨🇳

Research has uncovered the impact of names on fields ranging from academic success to dating. But most of these studies were conducted on English names. Chinese (and other languages) has tones, including rising and falling tones. And, studies have shown that the inflection of speech (e.g. in Californian uptalk) can influence percieved respect. In China, does the tone of your name affect your chances of success?

## Clubs for Cubs 🏘️

A comprehensive and user-friendly UI that builds on CalLink, providing additional information such as club activities, club size, application process (if any), websites, social media, points of contact, and—perhaps controverisally—percieved ranking based on reviews. New golden bears should be able to easily find a community that suits them, without surprises.

## Dry Routing ⛱️

Have you ever had to walk home in the rain? Or across campus to a class while its pouring? When I faced the situations in the past week, the real task was dry routing: finding a reasonably-lengthed path that minimized my exposure to rain. But I’m not familiar with lots of Berkeley, and I definitely don’t remember which streets have overhangs. Google and Apple maps could be much more helpful if they could do dry routing for me, identifying which streets are most dry during a storm. Some approaches could be to use Google Street View data or to infer dry routes from pedestrian behavior (people probably walk faster in the rain, slower when dry).

## Course Evaluations 📧

Every semester, I get at least 3 emails from the Berkeley administrators yelling at me to filling out my course evaluations. It looks like this:

Peter, Your course evaluations will be closing very soon. See below to view the precise deadline for your evaluation(s). We have not yet received feedback for all of your courses. We appreciate that the end of the term is very busy and hope you can take a few minutes now to share your feedback.

We could reach out to the Learning Environment + Tools team at Berkeley Research, Teaching, and Learning with a project about raising course evaluation rates via behavioral economics-inspired tweaks to marketing emails. Imagine if the email read:

Hey Peter, You’re part of a small minority of students who haven’t turned in their course evaluations yet. We want to make your classes less stressful and more interesting, so help us help you. The form will close in 2 days, so turn in your feedback now.

## Finishing Weak 🔚

Whenever I write a review, the last fourth is always the hardest. I’m almost there, and I already have a lot of good content. Why not slack a little on notes for the last chapter? Ego depletion suggests that willpower is a limited resource that decays over time. It’s been studied extensively in lab tasks, with mixed conclusions. But what about similar tasks in the real world with a defined “endpoint?” Do book summaries get more sparse as the chapters go on? Do people document code less as they wrap up a project? Can we quantify when and how much people “slack” as they reach the finish line?s

## Chess Dataset ♟️

It must be an underused dataset. Performance in chess games can tell us a host of things about persistance, general intelligence, and executive control. For example, how many lost games until someone gives up for the day? Is the hot hand a thing in chess? Did the general public get better or worse at chess after COVID-19 hit? What about after daylight savings?

## Debater Careers 👔

What exactly do high school debaters do post-graduation? Does how they debated inform their career trajectories? Take one or more year’s worth of TOC entries. Segment them by debate type (PF/LD/Policy) and style (philosophy, policy, critical, tricks, flex). Use LinkedIn to identify their college major and internship/full-time industry. If the K debaters have it right, then LARPers/PFers should work more in finance/consulting etc. We can compile a table and make a Sankey diagram.

This is now reality!

## Market (Over?)sizing 🧺

We know that investors are overconfident, and we know how much is lost due to excessive trading. What about market researchers, who are one step away? One type of study they do is market sizing: estimating, among other things, the total available market (TAM) for a given good or service. We might expect them to be too bullish, betting that a market is bigger than it really is. But validating such an estimate is harder - many times, the TAM is never realized. Here’s how we could empirically test for overconfidence: Take an industry like education. Segment it by different features - by grade level, online vs. hybrid, public vs. private, etc. Look for estimates of both overall TAM and TAM for each segment. Compare these two when added up. As Don Moore might suggest, people who zero-in on their specific case and don’t take the outside view may end up being biased.

## Bikeshare Surge Pricing 🚲

Ride share programs are well-known for using surge pricing to adjust demand and supply across time. Bike sharing apps like Lyft should do the same, except based on location instead of time. When I try to bike around campus, there’s an annoying imbalanced of bikes. On the west of campus, there’s an abundance of bikes. On the east side, empty docks abound. The reason? The campus slopes down from east to west, so one way is a speedy, smooth glide, while the other is a pain in the ass. Lyft should price based off of location and altitude so that there’s bikes at Haas that I use to fly home.

## Bookmark Archive 🔖

Several people I know, myself included, make a folder on Chrome’s bookmarks bar called “Archive.” Whenever I stop using a set of bookmarks (say, for a short-term project), I stash it away in the archive folder. But this gets pretty annoying. You have to search an unordered dropdown and carefully hover over subfolders. There are currently ways to export and import bookmarks. Why not add a dedicated bookmark archive that let’s people easily organize and find old bookmarks?

## Urban Dictionary Names 📛

The Urban Dictionary name trend has taken over my Instagram. I noticed an interesting pattern: while most names have flattering definitions some names have neutral/negative descrptions. Moreover, it seems that more popular names (like Lauren) have more positive defitions than less popular names (like Xaviere). I suspect that it’s because the page for a name like Lauren will get more visits from people named Lauren, who drive up upvotes for positive definitions. We could use this database of first names find relationships between name popularity (and racial demographics) and the sentiment of the Urban Dictionary definition.

## Debater Overconfidence 🤭

The Dunning-Kruger effect predicts that people with the least skill will be the most overconfident. Is this true of debaters? At debate tournaments, I’ll often hear both sides walk away thinking that they’ve “definitely picked up.” It happens especially often in mid- or lower-level debates. An experiment could survey debaters right after their rounds, asking them to estimate their chance of winning. We could also test the effect of a monetary incentive: if \$5 is on the line, do they become more accurate? If they do, is there an implied “price of self-image”?

## Zipcars and Speeding 🏎️

Zipcar operates on a reservation system, which means drivers have to book a time frame in advance. One night, I could only book 90 minutes for a trip to Oakland. What would’ve been a smooth trip became rushed after I had to stop to recharge my phone. I ended up heading back with only 20 minutes left. Although I knew better than to speed, I probably subtly went a little faster than I normally would. Are there more accidents and traffic violations towards the end of a reservation? Let’s get in contact with Zipcar and offer to do the analysis for them!

## Chipotle’s Cup Fee 🥤

I fill my water cup with soda. Chipotle doesn’t like it. Yet, they recently decided to start charging ¢25 for water cups. But, as explored in the first chapter in Freakonomics, fees can often serve as moral license, crowding out intrinsic motivations. For those who didn’t steal soda on principle, the fee may empower them to abandon their moral riteousness. Since Chipotle supposedly studies soda-stealing, this is a question we could answer.

## Scoots and Steps 🛵

I used to be an adventurous one. I walked 10,000+ steps every day to get around Berkeley. Ever since I got my scooter, my daily steps have plummetted to somewhere around 2,000-3,000 steps. The Mayo Clinic recommends 10,000 steps a day for healthy adults, so the substitution may actually have tangible health impacts. With nearly everyone keeping track of their own daily steps, could we gather data points from new scooter owners to measure the decrease in walking associated with buying a scooter?

## GYST DeCal 💩

A class about getting your shit together. Just the gyst on: health, personal finance, productivity, socializing, professional development, studying, and mental wellness. Brief guest lectures from professors and professionals. Practical, take-home guides for implementing advice. Grades based on measured outcomes: Did you make your calendar? Did you actually track your personal finance? Have you meditated in the past 3 days?