Two months ago, I was reading some quartets with a fellow violinist for fun.  At some point, I brought up my concept of “subway karma” – basically, that there was some quantity of good fortune I could build up (by waiting long times), and that it would dissipate at some point in the form of the train arriving immediately when I got to the station, ideally – and usually – when I really needed to get somewhere quickly.  I also threw out concept that when in a rush, the occurrence of either just missing or just catching a train was much higher than usual, and that this was somehow tied to some subway spirit’s judgment of me.

He of course told me this was ridiculous and that if I were really a scientist, I should prove it with data.  So I’ve done just that – I’ve recorded the majority of subway rides on the Red Line that I’ve taken in the past two months, notating the amount of time I waited (note that 0 = the train is right there as I enter the station and I’m able to board it; -1 = the train pulls out just as I’m entering the station – I did record the actual wait times for these, but those data are not presented here).

Here are the wait times for all the rides (n = 78), in chronological order.  I did not write down exactly what time I took each ride.

While it’s impossible to prove whether there’s a subway spirit or not, this looks pretty convincingly .. random.  No pattern of build-up and dissipation or anything like that.  But what about being in a rush?  Being in a rush was defined for these purposes as me having to get someplace at a set time, and that I was not leaving more than 5 or 10 minutes of extra wiggle-room in the estimated trip duration.  n=28 for being in a rush, n = 50 for not being in a rush.

What’s interesting here is how much more likely it is that I will catch a train just as it’s arriving at the station when I’m in a rush.  Most likely it’s something like the increased frequency – and increased stopping times – of trains during times when I’m likely to be in a rush (near or just after rush hour).  And it’s confounded by the fact that I can see people walking out of the station, or even hear the train pulling into the station, before I even enter the station, and make my own judgment about whether or not to book it.  But it’s interesting that my perception reflected a dimension of reality in this case, even if the magical interpretation is nonsensical.

Other notes: I never actually realized before how frequent the red line trains are, especially in comparison to the very long times I was accustomed to waiting on the green line.  My average wait time over this period was 2.6 minutes (here I’ve used the real wait times in place of the “-1” notation for missing a train), which makes sense given that I travel about half during rush hour (every 9 minutes per line, but I don’t care whether it’s Ashmont or Braintree so it’s every 4.5 minutes) and half during other times (every ~12 minutes per line, so 6 minutes per train) – the expected value of waiting would be 5.75/2 or ~2.9 minutes.  Weekend frequencies are lower, but I did not notate a lot of the weekend trips, because they were rarer and the “wait time” tickers are often shut off, so that it’s harder to keep track of how long I wait.  Overall, 62% of the time, I waited 2 minutes or less for the train.  Not too bad!

 

One Comment

  1. Richard says:

    Perhaps Subway Spirits don’t like to be measured, and the effect goes away when you try to observe it, like all the best quantum mechanics experiments…

    Also, I’m surprised you don’t use an app to reduce the frequency of “just missed it” events – I often check predictions a couple of minutes from a subway or bus stop to see if I should walk faster. (But I guess with an average wait time of 2 minutes it’s barely worth it)

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