Gary Matthews1974-78.287.280.279.283.285.014 Braggo Roth1916-20.286.285.283.287.291.011 Roy Campanella1951-55.325.269.312.207.318.315 According to Fangraphs, none of the 21,214 other qualifying five-year periods1Using a minimum of 350 plate appearances in each season and including overlapping periods for the same hitters. is even close. Journeyman outfielder Nori Aoki had a total movement of 9 points between 2012 and 2016, which comes in second but is still more than double Davis’s. And only one other hitter in history finished with the same average in three straight years — Mookie Wilson for the Mets, hitting exactly .276 from 1983 to 1985.2With an average of .279 in 1982 and .271 in 1981, Wilson’s total movement in the period was 11 points. Just 178 hitters have had the same rounded average in two consecutive seasons.To get a better sense of how bizarre Davis’s consistency is, consider FanGraphs’s finding that batting average does not even stabilize until 910 at-bats. (By “stabilize,” we mean getting to the point at which a player’s batting average is roughly halfway explained by his own skill, with the other half still owed to random variance.) Of course, batters never get 910 at-bats in a 162-game season, which is why batting average has typically been the bane of projection systems. Incredibly, a player’s current batting average is actually a poor predictor of his future batting average even in the same season, never mind from season to season.So wild swings are perfectly normal. The average movement for the entire sample is about 100 points in every five-year period. A perfect example of average variance in the category is Babe Ruth from 1930 to 1934, when he hit, consecutively, .359, .373, .341, .301 and .288.But in 2018, we are witnessing history in batting average on both sides of the spectrum. The exact opposite of Davis is Bryce Harper of the Nationals. He’s tied as the third most volatile hitter ever over a five-year period. Harper’s roller coaster ride in the statistic has taken him from .273 in 2014 to .330 in 2015, back to .243 in 2016 then up to .319 last season. This year, Harper is down to .214. That represents a total movement of 325 points. Harper was bested in extreme variance only by Brooklyn Dodger Hall of Fame catcher Roy Campanella, who had a 358-point swing from 1952 to 1956 and a 338-point swing from 1953 to 1957, and King Kelly of the Chicago White Stockings and Boston Beaneaters, who had a total movement of 331 points from 1883 to 1887. Kelly is also in the Hall of Fame, and Campanella was a three-time National League MVP, an award Harper won unanimously in 2015. Khris Davis2014-18.104.22.168.247.248.004 For players with a minimum 350 plate appearances each seasonSource: FanGraphs Fred Dunlap1881-85.325.280.326.412.270.319 Bryce Harper’s batting average is on a roller coasterMost total absolute movement from season to season in batting average over a five-year span in MLB history Khris Davis’s batting average is so consistent, it’s scaryLeast total absolute movement from season to season in batting average over a five-year span in MLB history Bryce Harper2014-18.273.330.243.319.214.325 For players with a minimum 350 plate appearances each seasonSource: FanGraphs Ben Zobrist2011-15.269.270.275.272.276.013 King Kelly1882-86.305.255.354.288.388.315 Sam Mertes1901-05.277.282.280.276.279.014 Mookie Wilson1981-85.271.279.276.276.276.011 spanYear 12345total Movement Bing Miller1925-29.319.322.325.329.331.012 Tony Fernandez1990-94.276.272.275.279.279.011 Pete Browning1887-91.402.313.256.373.317.319 Yearly Batting Average Roy Campanella1953-57.312.207.322.214.171.1248 George Scott1966-70.245.303.171.253.296.315 YEARLY Batting Average Pete Browning1886-90.340.402.313.256.373.325 Roy Campanella1952-56.269.312.207.318.219.358 King Kelly1883-87.255.354.288.388.322.331 Nori Aoki2012-16.288.286.285.287.283.009 The skeptics have been proven right so far this season in refusing to believe that Khris Davis’s batting average was permanently fixed at .247 by some supernatural force. After hitting exactly that in each of the past three seasons, Davis appears to have broken free of the .247 spell: He’s hitting .248.Baseball’s measure of hitting success has always been rounded to the third decimal. Technically, the Oakland Athletics outfielder has hit .2474489796, .2468468468 and .2473498233 respectively from 2015 to 2017, and this year his average is all the way up to .2484848485. In his only other year of at least 350 plate appearances (2014), he hit .2435129741, or .244. Regardless of how you round these numbers, they make Davis the most consistent hitter in baseball history over any five-year stretch. The total movement of his three-digit average — calculated by simply adding the absolute differences from season to season across five years — is just 4 points (that’s .004 in nonbaseball speak). And the average movement of his average is an absurdly low four-fifths of a point per season. SpanYear 12345TOTal Movement Nori Aoki2013-17.286.285.287.283.277.013 So a lack of consistency doesn’t imply that a hitter is bad — though you may not want to invest in him in your fantasy baseball leagues just on the basis of last season’s numbers. The people who “owned” Kelly when he hit .288 in 1885 between two years leading the National League in hitting with an average north of .350 doubtlessly took a bath in their hypothetical, old-timey roto leagues. Harper’s owners this year are echoing their pain, 133 years later.But Davis is Mr. Reliable. You expect .247 and he gives you .247 — or maybe .248. At worst, .244. Davis is a beacon of consistency in what’s otherwise a wilderness of batting average randomness.Check out our latest MLB predictions.
More From Roadshow Electric Cars Tesla Model 3 barrels through the snow in Track Mode 2020 Hyundai Palisade review: Posh enough to make Genesis jealous 3 Tesla The other update is Sentry Mode, which is intended to provide a little more security when a Tesla is parked. When the car is set to Sentry Mode, it will display a warning on the car’s infotainment system if a “minimal threat” is detected. For a more severe security issue, such as someone breaking a window, Sentry Mode will sound the car’s alarm and begin playing music through the audio system at full volume, as well as alerting the car’s owner via the Tesla smartphone app. (Tesla doesn’t specify what music will be played, but hopefully it’s something loud and attention-getting, rather than, say, soothing classical.)In addition, when Sentry Mode is triggered, the car will retain recorded footage from its built-in cameras for the 10-minute period prior to the alarm activation. The footage can be downloaded onto a USB stick, presumably for sharing with your insurance agency or local law enforcement.It’s worth noting that Sentry Mode is not automatically activated. Owners must choose the option every time they park the car and want to use it. The software update is rolling out to Model 3 sedans today, and will soon become available on Model S and Model X vehicles built after August 2017.There’s one final safety and security upgrade that Tesla announced today. The car’s built-in dashcam function will now also record video from the car’s side-mounted cameras, in addition to the forward-facing camera. That could provide even more evidence for an insurance claim after a car accident, for instance. 2020 Kia Telluride review: Kia’s new SUV has big style and bigger value Tags Comments 50 Photos Tesla is rolling out new software features designed to help drivers of its electric cars keep their dogs safe, as well as their vehicles. CEO Elon Musk had hinted at the arrival of the Dog Mode and Sentry Mode functions earlier this week, and now both offerings are official.Keep your furry friends cool and happy while you run into the store. Tesla Dog Mode is designed for owners who might want to leave their furry companion inside a car — while running an errand, for instance — without risking the dangers of overheating cars. To use the feature, drivers pull up the car’s climate control options, select Keep Climate On and choose the Dog setting, then set a temperature preset. The Tesla will then keep the car’s cabin at a safe temperature while showing a message on the infotainment system so that passersby don’t worry about Fido’s health.Running the climate control while the car is parked will of course use some battery charge, so Tesla says that owners will receive an alert on their mobile app if the car’s battery drops to 20 percent charge while using Dog Mode. Tesla also notes that drivers should check if there are any local laws prohibiting leaving a dog in the car before using the function. Dog Mode builds on Tesla’s existing Cabin Overheat Protection function, which can activate the climate control to prevent the inside of the car getting dangerously hot to keep animals or children safe. 2020 BMW M340i review: A dash of M makes everything better Tesla Share your voice
(Phys.org) —A team of researchers working in China has found evidence to suggest that stars that exist in metal-rich galactic areas tend to explode more violently when they go supernova, than do stars that explode in less metal-rich areas. In their paper published in the journal Science, describing their research, the team details how after analyzing data from the remnants of 188 type 1a supernovas, they found that those stars that existed in metal-rich areas and maybe in younger systems, tended to produce more violent explosions and associated diverse spectral features. Citation: New study finds stars in metal-rich galactic areas explode more violently (2013, March 8) retrieved 18 August 2019 from https://phys.org/news/2013-03-stars-metal-rich-galactic-areas-violently.html Supernova progenitor found? Explore further This is the remnant of a supernova. Credit: NASA/MPIA/Calar Alto Observatory, Oliver Krause et al. © 2013 Phys.org More information: Evidence for Two Distinct Populations of Type Ia Supernovae, Science DOI: 10.1126/science.1231502ABSTRACTType Ia supernovae (SNe Ia) have been used as excellent standardizable candles for measuring cosmic expansion, but their progenitors are still elusive. Here, we report that the spectral diversity of SNe Ia is tied to their birthplace environments. We find that those with high-velocity ejecta are substantially more concentrated in the inner and brighter regions of their host galaxies than are normal-velocity SNe Ia. Furthermore, the former tend to inhabit larger and more-luminous hosts. These results suggest that high-velocity SNe Ia likely originate from relatively younger and more metal-rich progenitors than normal-velocity SNe Ia, and are restricted to galaxies with substantial chemical evolution. Scientists have come to believe that supernovas come about in a process that involves a white dwarf. But because a single white dwarf isn’t large enough to set off an explosion, they believe a second star must be involved as well—either another white dwarf as a binary system or via accretion of material by a companion star. Researchers can’t tell using current methods which was involved when studying particular supernovas. In this new effort, the researchers believe they might have found a way to do so.By studying and comparing the spectral features of 188 type 1a supernovas and the galactic geography of the area in which they exploded, the researchers discovered what they believe is a pattern that they claim hints at the nature of the progenitor star that led to the explosion—those in metal-rich areas tended to produce more violent explosions. This suggest it’s more likely that the more violent explosions are the result of a white dwarf pulling mass from a companion star—one similar to our own, or perhaps a red giant—than the result of a binary white dwarf system exploding.Understanding the nature of supernovas is critical to understanding the universe in general, as they are used to measure distances between objects—such measurements have led to the discovery that the universe is expanding, for example. For that reason, it would be helpful to know which sorts of stars lead to their creation and why they behave the way they do when they explode. This new research appears to be one more step in that direction. Journal information: Science This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.