As seen on DatingRatio.com, statistics show that for the most part 60% of the women on the most popular dating sites are swiping almost exclusively on the top 15% of men. This means that approximately two-thirds of the women are NEVER saying yes to the vast majority of guys on the site! And of the remaining women, chances are they grow tired of swiping after twenty or thirty matches and they quite trying.

So let's imagine that there are ONE THOUSAND women on a particular dating site who are:

• In the same metropolitan area
• Actively searching for a guy
• Swiping at least 100 men a day

If there are one thousand of these women, then on even the best dating apps with the most favorable ratios there will be at least three thousand men in the same region.

If we deduct 60% of the women that only swipe the top 15% that brings us to 400 women. Of those perhaps half are in the man's filter radius, or 200 women (and to be fair let's take out half the men that are in that same radius).

Even if these remaining women swiped-right on ten percent of the guys they see (very unlikely) that would equate to around 10 right-swipes per woman - assuming they grow tired after 100 profile reviews - as they already have too many matches. This equates to 2000 yes-votes to distribute over the 1500 men. Pretty good, right?

But wait... These 40% of women, while not swiping exclusively on the top 15%, are still swiping mostly on the top 15%. Let's be generous and say that the "sixes and down" get one vote every time the "sevens and up" get three votes. Overlooking that this is also highly improbable, this would leave a resulting 500 right-swipes to share across all 1500 men.

And we're not done. Of those 500 right-swipes, many of them are duplicates where multiple women swiped on the same man. So, assuming a liner progression here, let's say that the "average and below" men share one yes vote every time the "above average" men get two votes and that the duplicate vote overlap (two women swiping the same guy) is very low, perhaps one-in-five being a duplicate.

That's 125 distinct "average" guys getting swiped. Out of 1500.

We are now down to 125 non-duplicate right-swipes to share across 1500 men in this dating radius. In other words, we should already expect that 1,375 (about 92%) of the men out of this group are going to get no right-swipes from any women at all.

We could go further and eliminate the cases where, although 125 average men did get right-swiped, luck with have it the man did not right-swipe the woman, or the algorythm never presented the chance for him to do so. We also haven't accounted for whether the man has a paid account with enough swipes, desire and endurance to right-swipe on hundreds of women, night after night, when receiving virtually no matches in return.

That's 125 distinct "average" guys getting swiped. Out of 1500.

Not to twist the knife, but there is a myriad of other concerns that have not been taken into account including fake profiles, scammers, women who swipe-right and then never follow through... There are countless reasons why this estimate might still indeed be a bit high.

With numbers like 8% of average-looking men maybe getting one match while 92% of men getting nothing at all it becomes rather disheartening to argue the details. While some people might disagree with some of the logic in this approach, any way you slice it the probability of a normal, average guy finding a legitimate match on any given night approaches zero.

And rememeber...

Even if the "average" man is lucky enough to be in the 8% that find a match... That's ONE match. And now he still has to pass the test in the messaging round, competing for attention with the hundreds of other guys flooding the woman's inbox!

It's amazing the dating apps haven't imploded by now. It's quite similar to gambling in Las Vegas casinos; as long as there's one jackpot going off for everyone to see, thousands of others will keep dumping their cash into the machine to feed the empire.