A perennial question on all forums about chastity and orgasm denial is “how long?” The proper answer isn’t a formula or even an average of what others are doing, but rather what is right for each couple. That said a lot of people report that they find it more exciting to have some unpredictability to when. Knowing exactly when it will be, or being able to predict, takes some of the fun and excitement out of it for a lot of couples. At the same time, most seem to want to keep the overall time frame within certain limits. In another post we’ll talk about ways to establish those limits, while avoiding falling into unconscious predictable patterns.

For today, we’ll just take a look at some of those “statistics” on denial periods. The fine people at http://www.chastity-uk.co.uk/ have a graph at their website which collected some survey data on this. I’ve participated in and set up some other surveys on Yahoo and other forums, and the results always seem to be similar. My previous comments in another post about the relative value and validity of Internet surveys still stands, but for those who are fascinated by the math I thought there were a few things we might discern from the pattern of responses.

 See Image LockInTime in Gallery

It was the regular pattern of peaks in the graph that first got my attention, and how even where the pattern seemed to break you could almost tell that it was the result of two or more patterns being superimposed. So I thought I would try to separate the patterns and see what they might tell me.

The first four spikes occur at 7, 14, 21 and 28 days, perhaps not coincidentally multiples of a week. There is a double spike at 30 and 31 days, both higher than the one at 28 days, and another at 60 days, month multiples?

To cut a long story short I identified four types of “players” and created a fifth category for those responses I couldn’t easily assign to any of the four types. Each type is characterized by the basic unit of time they use as a measure; in other words their denials are typically multiples of some period of time – days, weeks, months or years. The people who measure their denial in terms of days I called “Casuals”, while the others were less cryptic as “Weeklies”, “Monthlies” and “Annuals”. To understand the concept here think of a Weekly couple. They only have sex play on the weekends, and through some method (pure whim on her part, random chance or the earning of points, etc.) he either does or doesn’t get to orgasm. If he doesn’t his next opportunity is next weekend. The most recent denial period for these types of couples will naturally be in multiples of a week.

The fifth category I couldn’t easily fit into one of the other groups were “Random”. Noting that even at long periods there were some midweek data points that didn’t correspond to a regular multiple, I couldn’t tell if they were part of one of the other groups who had just gotten their time extended, perhaps because of bad behavior, or what. Using the average of ones that clearly didn’t belong to a cycle, I projected them through the whole data set and then started looking at the counts that could be found in each of the other patterns. I felt that this was a more conservative approach than arbitrarily assigning them to one of the other groups. However, virtually all of the Randoms occurred before the 60 day mark, so if they belong to a group it would likely be one of the first three.

Looking at the whole sample the breakout was roughly as follows with and without assigning the Randoms to the other groups:
Casuals – 11% - 14%
Weeklies – 25% - 35%
Monthlies – 14% - 22%
Annuals – 28% - 28%
Randoms – 22% - 0%

Since the Annuals seemed to be such a “hardcore” faction, and since 67% of the responses fell within the first 60 days a more representative picture for newbies to the scene might come from the first three groups in the first 60 odd day responses.

When their percentages are computed from the responses that fell in those first 60 days it looks like this:
Casuals – 20%
Weeklies – 49%
Monthlies – 31%

And a graph with groups identified might appear like this:

See Player Types in Gallery

The relative size of the groups at this level of focus seemed about right. It also seemed like a better way to think about denial periods if you first thought about how frequent were your current real opportunities for orgasm (with your partner).