Steroid era stats

Haha he's tripping. I like Wlad too and believe he is one of the best boxers. Who he can't match with skill he can out might and vice verse. But what I would not say is that Wlad is better beyond comparison to anybody else. Saying he dominated Haye isn't doing anything to improve credibility for Wlad or the era (or his opinion). Quite frankly it's time he investigated the worthiness, pros/cons and match ups of the more than dozen other boxers that I consider would have also given Wlad hard fight. Love to see how he spins Lennox/Wladimir. He could not use stats to prove anything conclusive there or rely on observtions to save golden boy.

The win has long since been killed , eulogized, and buried, but there’s a reptilian sliver inside my analytical brain that still pulsates for lofty pitcher win totals and arbitrary round numbers. Barring a holistic change to either the structure of baseball pitching staffs or the definition of a win, Denny McLain’s 1968 campaign will remain the majors’ last 30-win season. The league-wide adoption of five-man rotations and expanded bullpen workload has rendered 25-game winners just as rare: The last pitcher to reach even that total was Bob Welch in 1990, when Kershaw was 2 years old.

60. Apocrypha, Part IV: Prior to the 1926 World Series, 11-year-old Johnny Sylvester was hospitalized after falling off a horse. A friend of his father brought him autographed baseballs from the Yankees and a promise from Ruth that he would hit a home run for him. Ruth homered four times in the Series against the Cardinals and visited the boy in the hospital after it was over. Sylvester eventually recovered from his injuries. That sequence of events gave birth to a myth in which Ruth visited a dying boy in the hospital and promised he would hit a home run for him that afternoon and the boy experienced a miraculous recovery after Ruth delivered.

One drawback to Brennan’s study is that, unlike Kouri’s, there was evidence of attempted deception.  Several people had to be excluded from the non-users’ group because they were either definitely on steroids (they failed the urine test), or probably on steroids (in the researchers’ words, they had “implausibly high muscularity and low body fat despite denial of AAS use”).  However, even if a couple of users slipped in, they probably didn’t skew the data too much.  The sample size for nonusers was big enough (131 people) that a few bad apples wouldn’t spoil the whole bunch, and the researchers were excluding suspiciously jacked people anyways, so if a few users did slip in, they apparently weren’t swole enough to raise any red flags.

Steroid era stats

steroid era stats

One drawback to Brennan’s study is that, unlike Kouri’s, there was evidence of attempted deception.  Several people had to be excluded from the non-users’ group because they were either definitely on steroids (they failed the urine test), or probably on steroids (in the researchers’ words, they had “implausibly high muscularity and low body fat despite denial of AAS use”).  However, even if a couple of users slipped in, they probably didn’t skew the data too much.  The sample size for nonusers was big enough (131 people) that a few bad apples wouldn’t spoil the whole bunch, and the researchers were excluding suspiciously jacked people anyways, so if a few users did slip in, they apparently weren’t swole enough to raise any red flags.

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