Category Archives: simulation

14Apr / 2020

Simulation of droplets while social distancing

Using 3-D simulation data from the Kyoto Institute of Technology, The New York Times shows how droplets from a sneeze or a cough can spread in a space. In a nutshell, six feet is the recommendation while in public areas, but the farther you away you can stay away the better. Go to the end, and there’s also an augmented reality segment that puts a six-foot range around you.

I may never set foot in a crowded place again.

See also: how different cough coverings can change the spread of droplets.

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Posted by in coronavirus, droplets, Infographics, New York Times, simulation, social distancing

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30Mar / 2020

Simulating an epidemic

3Blue1Brown goes into more of the math of SIR models — which drive many of the simulations you’ve seen so far — that assume people are susceptible, infectious, or recovered.

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Posted by in 3Blue1Brown, coronavirus, epidemic, simulation, Statistical Visualization

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19Mar / 2020

✚ Simulating the Unknown; Working From Home – The Process 081

We don't know what's going to happen in the future, but we can look at what we do know and make our best guess. Read More

Posted by in coronavirus, simulation, The Process

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18Mar / 2020

How to Flatten the Curve, a Social Distancing Simulation and Tutorial

Using R, we look at how your decreased interaction with others can help slow the spread of infectious diseases. Read More

Posted by in animation, R, simulation, Tutorials

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15Mar / 2020

Simulations for virus spread with social distancing

Social distancing is the game plan these days. Try to stay at home and avoid contact with others as much as you can. But why? For The Washington Post, Harry Stevens used simplified simulations of an imaginary virus to show how social distancing can flatten the curve.

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Posted by in coronavirus, Harry Stevens, Infographics, simulation, social distancing, Washington Post

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02Mar / 2020

Super Tuesday simulator

With Super Tuesday on the way, there’s still a lot of uncertainty for what’s going to happen. FiveThirtyEight has their forecast, but even with results expressed as odds and probabilities, the outcome almost seems static and concrete. So FiveThirtyEight has a different way of poking at their forecast. Pick the winners in each state, note how the conditional probabilities change as you go, and see what might happen in the rest of the primary given your picks.

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Posted by in election, FiveThirtyEight, simulation, Statistical Visualization, Super Tuesday, uncertainty

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10Sep / 2019

A sim to show self-driving car challenges

On the surface, driving a car might seem fairly straightforward. Follow the rules of the road, don’t crash, and watch out for others. So why not just let a computer do all of the work? The Washington Post provides an interactive simulator to put you in the passenger seat and see for yourself.

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Posted by in game, Infographics, self-driving, simulation, Washington Post

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07Jun / 2019

Simulation of fan emotions during a basketball game

During a game, the range of emotions can vary widely across a crowd. Will Hipson, making use of some emotion dynamics, simulated how that range can change through a game:

What I’m striving to simulate are the laws of emotion dynamics (Kuppens & Verduyn, 2017). Emotions change from moment to moment, but there’s also some stability from one moment to the next. Apart from when a basket is scored, most fans cluster around a particular state (this is called an attractor state). Any change is attributable to random fluctuations (e.g., one fan spills some of their beer, maybe another fan sees an amusing picture of a cat on their phone). When a basket is scored, this causes a temporary fluctuation away from the attractor state, after which people resort back to their attractor.

I want to simulate emotion dynamics for all the things now.

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Posted by in basketball, emotion, simulation, statistics

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15May / 2019

Interactive explainer for how disease and ideas spread through a network

Kevin Simler uses interactive simulations to explain how things — ideas, disease, memes — spread through a network. It always looks like concentrated chaos to begin, but then the things infect quickly. Adjust variables, press play, and watch them go.

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Posted by in diffusion, network, Network Visualization, simulation

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16Oct / 2018

Optimized bubble tea consumption

When you drink bubble tea, ideally you’d like to finish with the same proportions of boba and tea that you started at. Krist Wongsuphasawat took care of the math and provides a simulator for this ever important challenge:

This article simulates an optimized sip based on amount of boba and tea in the straw before sipping (method adopted from this post). The simulation assumes that all bobas sit in the bottom of the cup and stack on top of each other nicely. If you put a straw straight down when there are n layers of bobas, you will get n bobas in the straw. The rest of the straw up to the drink’s height is tea. The drinker sips until all n bobas are in his/her mouth then stop. After each sip these n bobas and tea inside the straw are gradually reduced from the cup.

The final recommendations: use a slim cup, minimize ice, and drink strongly. Mess around with variables here.

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Posted by in boba, simulation, statistics

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