US Senate: does one party filibuster more?Tagged:
Sen McConnell claims the Democrats abuse the filibuster! (Because of course he does.) But what do the data say?
Senator McConnell was interviewed on the PBS news hour a few nights ago, by Judy Woodruff.  He made the extraordinary claim that the Republicans were innocent, but that Democrats had abused the filibuster:
Our Democratic friends in the minority last year used it frequently to stop things that we might have wanted to do. Now they’re threatening to blow the place up and turn the Senate into the House, so that they can get their way, with presumably 50 Democrats voting yes and the vice president being in the chair.
Now, that is quite startling! The Republicans have been so clearly radical, I find it hard to accept. What do the data say?
It’s hard to come by explicit data on the use of the filibuster in the US senate. That’s because a filibuster isn’t a particular legislative move or a formal filing; it’s a behavior. If you insist on talking ad nauseam, that’s a filibuster whether you say so or not. And it’s even worse nowadays: you don’t actually have to stand up there and talk. You just need to signal privately your intent to filibuster to the party leaders , and everything grinds to a halt!
However, since the early 20th century there has been a formal filing to close off a filibuster, called a cloture motion. We can track cloture motions filed versus time. On the theory that filibusters irritate people enough to try to get the votes for cloture, this might track filibusters. On the other hand, if there is not a 60% supermajority to invoke cloture, maybe nobody tries and this under-represents filibusters? I dunno, but it’s all we can get easily.
So we took the US Senate’s web page for cloture motion filings and captured them
into a tab-separated value file. 
We dropped the current (117th) senate term, since it’s only been in session for 3 months. We’re doing this by senate term, each of which is 2 years long, rather than by individual years. That’s the time granularity over which party majorities can change. So we’re starting with the 91st session (1969-1970) and ending with the 116th session (2019-2020). That’s 50 years of data, starting in 1970 when pundits seem to claim the use of filibusters took off.
You’d think it would be dead easy to get a table of party counts in each senate session, but apparently not. The US Senate’s records are presented as a big bowl of word salad , not a nice table of analyzeable data. So… a bit of hand screen-scraping was in order.
We then massaged this data in a couple of ways:
- The independents who caucus with one of the major parties were added to the count for the major party. E.g. Sen Sanders caucases with the Democrats, so for our purposes he counts toward the Democrat’s seat count.
- We eliminated the 107th session (2001-2002) since power actually shifted back and forth between Democrats and Republicans 4 times in this 2-year session! I dunno what to do with that, but I do know it looks like a huge outlier, so I dropped it.
- Sometimes the presidency party (actually the Vice President) is needed, in case a tie-breaking vote is required. That’s in the data file, but it’s only necessary in the 117th (current) and 107th session, both of which were dropped from the analysis. So practically speaking, the senate majority is always determined by senator seat counts in this particular dataset.
To analyze these data, we wrote an R script  to load the cloture & party data, then assemble them with an inner join on the senate session number to produce an omnibus dataset here delivered as a combined tab-separated value file.  In the process, there was considerable constraint checking for quality assurance purposes: the numeric fields were always positive integers, the number of senators was always 100, the majority party in the senate followed the decision rules from the seat counts and the presidency party, and so on. (The details are available for peer review in the script itself.)
First, let’s just have a look at the data:
- There is no doubt that the number of cloture attempts is increasing over the last 50 years. To the extent that cloture attempts track perceived filibusters (mildly questionable), this confirms what we think about somebody weaponizing the filibuster to require a 60% supermajority for more or less all legislation. (Though nominations are on a different track, and apparently now harder to filibuster.)
- This strong trend in time means the data from the early part of the curve is unlikely to be relevant to the later part of the curve. This will come back to bite us below when we do hypothesis testing.
- There’s no obvious excess of high numbers associated with either red dots or blue dots. Frankly, it looks like a tit-for-tat situation where one party so offends the other with their use of filibusters, that they get hit back harder when power shifts.
- The boxplot of the probability distribution of number of cloture attempts vs party is also somewhat informative: the black horizontal bar is the median, the colored box is the upper & lower quartile, and the whisker is the total range. It appears the median is higher for Republicans, but the variation makes that unlikely to be statistically significant. It appears the upper whisker goes higher for Republicans as well. So we hypothesize: there’s more filibuster/cloture action under Republican majorities, though the variation is high and the outliers dominate.
When we break down by majorit party the mean clotures, the standard deviation of clotures, and the number of years in power, we see about the same thing:
Majority Motions.Filed.Mean Motions.Filed.Sd Years
1 D 74.4 66.3 28
2 R 102.0 89.0 22
McConnell’s hypothesis is that the Democrats are somehow bad, so that should show up as some kind of difference between the two parties as far as cloture/filibuster counts. Our null hypothesis against which that will be tested is basically that there is no such difference. (Null hypotheses are almost always about “nothing going on”, “no difference”, and hence the name “null”.)
This is a simple $t$-test for whether the mean number of cloture invocations per session is different by party majority. The boxplot above leads us to predict that this will be statistically non-significant:
Welch Two Sample t-test
data: Motions.Filed by Majority
t = -0.8573, df = 17.987, p-value = 0.4026
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
mean in group D mean in group R
And with a $p$-value of 40%, it is indeed non-significant. We therefore reject McConnell’s hypothesis and accept the null hypothesis that things aren’t that different betweeen the two parties, as far as use of filibusters and as far as cloture motions track filibusters.
The results lack statistical significance, so we can’t rule out that this difference occurs just by chance. However:
- The cloture counts show a strong trend over time, so we’re comparing the low counts of the 1970’s with the high counts of the hyper-partisan 2000’s. (I used to think Reagan was hyper-partisan, and he was, but not as bad as today, apparently.)
- If we were to de-trend the data or just use the last decade, we’d have too few data points to get significance either.
- It still could be (for example) that Republicans systematically abuse filibuster, and Democrats when in power would have to invoke cloture to combat it. Since we’re not measuring filibusters, but rather clotures, this whole issue is kind of murky.
But even without statistical significance:
- The table above shows there have been, in the mean, about 1.37x more instances of filibuster related action (cloture attempts) under Republicans than under Democrats. The time trend and the standard deviation keep this from being statistically significant.
- The boxplot of cloture attempts by party shows an upper tail higher for Republicans, i.e., more instances of high-count activity.
So… it’s a bit murky, but we can say for sure that McConnell’s accusation is rejected by the data.
Notes & References
1: J Woodruff, “Sen. Mitch McConnell on COVID relief, election reform and the filibuster rule”, PBS News Hour, 2021-Mar-11. ↩
3: United States Senate, “Party Division”, senate.gov, 2021-Mar-14. NB: Data is not presented here as a table, but as text. A certain amount of hand extraction into a tab-separated data file was necessary. Results captured as 2021-03-15-filibusters-parties.tsv↩
4: Weekend Editor, “R script for analyzing senate filibusters”, SomeWeekendReading blog, 2021-Mar-15. There is also a transcript of the execution of this script, to peer-review the results reported here.↩