#chamionships

[frostythefrostedfox]

Man has beaten the bottling allegations for the night, lets see if this a one off or he finally got good.

Lovely race, masterfully crafted, lots of strategy, the 10 car undercut from Sainz was amazing, pretty great strat, ferrari could have fucked it up or played it safe, but they took a risk and it paid

The McL championship is real. I think that Ferrari skimmed a few points out of RB too

-8 to Verstappen's lead, which is shrinking fast, we have a championship, which might end in the last race, just like Max's, what a load of karma that would be

[collegefootballcountdown]

SEVEN

[vamppeach]

i am doomed to be enraptured by mediocre media

[dream-this-nightmare-over]

does anybody know if tickets for euro24 will have name of buyer on them? if so it means that no one can buy for someone else a ticket? if i buy for a friend a ticket will my name be on ticket so they wont be able to get in stadium?

[worldlibertytv]

See ERROL SPENCE JR. VS. TERENCE CRAWFORD NY Press Conf-2023 in our World Liberty TV Boxing Blog @ https://www.worldlibertytv.org/errol-spence-jr-vs-terence-crawford-ny-press-conf-2023/

[stolemyhheart]

well this. aged.

[gemgem084]

I once had someone try to bring their dog in the museum and when we said no they were like but your websites says you can. When the website says service dogs only which is why I started my question when they walked through the door is it a service dog.

Also all the cars at the museum have do not touch signs on them. I have seen someone open a car and say I wasn't going to get in when I politely said you can't touch the cars. Like touching includes opening a car not just sitting in the damn thing, you didn't just open it telepathically my dude. Same when they honk the car horns like my dude that is 100 years old keep your filthy hands off, not only is it annoying you can break the leather.

Also when people try to come in with dripping Mr whippy ice creams when no food or drink is allowed and roll their eyes when you say sorry can't come in with that. Like if I came into your classic car or even modern car with an ice cream dripping down my hand you wouldn't be happy about it.

one thing working in museum taught me is that you can have as many signs & as many explanations as you so wish people still will not read. "it's not clear at all on your website!!!" it sooo so is i promise my colleague was even kind enough to color-code the tabs & add a little image that shows what "group" means. my sister in the allmother's wide arms you might just be dumbfuck stupid. and mean and entitled as well. at your big age.

[waggle100]

Truck race will not end. Overtime 2 incoming

[pressmost]

Ardagger - Frühstücksnews - Freitag, 21.4.2023

(cI) Manfred Dallhammer Sehr geehrte Gemeindebürgerin! Sehr geehrter Gemeindebürger! Am Wochenende ist Tag des “MOST” oder besser gesagt “TAG der MOSTBIRNBAUMBLÜTE”. Und fast auf den Tag genau schaffen es die Birnbäume – trotz Schlechtwetter in der letzten Zeit – aufzublühen und “weiss strahlend” die Landschaft zu verschönern. Auch die Blüten vor der Webcam brechen schon auf. >> wie Du hier…

[slutforpringles]

Finally someone at Red Bull acknowledging that Perez has almost singlehandedly cost the team the constructors chamionship and thus every team member their bonus. 🙃

[lousycapy]

How statistics can easily be manipulated to fit a certain agenda in Formula 1

Hello! I’ve seen a lot of f1 fans or media sources bring up statistics incorrectly to prove their points recently, which is really getting on my nerves. So here is a comprehensive guide, with examples, of how statistics work and why they are not the be-all and end-all some people might think them to be. This is a pretty long post, so the explanations are all below the cut. With that, I hope you find this useful!

Multiple factors come into play when analyzing a statistic, so I’ve separated them in different categories: what data set is used to make the stat, how the stat can be interpreted and how being factually correct doesn’t equate a valid argument :

THE DATA SET

To make a statistic, you first need values which correspond to a data set. What said data set is made of is very relevant to the exactitude of the stat and how much regard should be given to it.

For example, to determine the average lap times of a driver over a stint you would need to divide the sum of all lap times by the number of laps executed. Which means that theoretically you could use a single lap as an average, e.g. 1:57:325/1 which gives an average lap time of 1:57:325s.

However, as you might imagine this stat is not representative of a driver’s stint, since the lap chosen to be analyzed could very well be an outlier. That’s why sample sizes matter, the more values make up your data set, the more representative of reality the result obtained is.

It is also important to know what the data set consists of. Let’s reuse our average lap times of a driver over a stint example, are outlaps/inlaps included? Is it based on clean air, dirty air? Are there laps excluded due to driver mistakes (e.g. going off track)? A stat being presented without any explanation of how it was calculated is absolutely worthless.

Finally, comprehension of the data set is very valuable as well.

Let’s imagine this fictional scenario where Ferrari makes Charles and Carlos compare average lap times. They both use the same car, on the same track, on the same tires, at the same time, for a stint of a total of 10 laps. Both drivers average a lap time of 80.125s over their whole stint, so is the conclusion that they have both done the exact same thing accurate? No!

Despite having the same average lap times in this scenario, the data set suggests a different conclusion, and different trends. Considering stints in a race are going to be longer than 10 laps, it can be assumed that Charles would average better lap times thanks to his consistency compared to Carlos, who would get worse lap times as time passes as can be observed thanks to the trend line in his graph.

2. INTERPRETATION OF THE DATA

Now that we can recognize the importance of the data set and its constituents, it is time to understand how the data provided can be used to make a statistic.

More than one answer can be correct based on the same sample of data. Despite using the same set, depending on how the data is used it can lead to different statistics that drive different arguments both being factually correct.

For example, I’d like to refer to the wonderful basspro24chevy World’s Destructor Chamionship from Brazil 24 on Reddit in an effort of determining who is the most destructive driver. Here is a chart I’ve made which also includes number of races each driver took part in (Ollie not included I was too lazy to recalculate how it affects the drivers he’s replaced’s damage bill) and the average cost of damage per race of each driver.

Based on these statistics, both arguments could be made to justify either Checo being the most destructive driver, since he’s the one who’s cost his team the most damage over the whole season, or Franco, since he’s the one who on average costs the most for his team per weekend.

Depending on someone’s biases, they could make some drivers look better than others despite using the same data set as another person, and depending on how their argument is justified even if they end up with a different conclusion it doesn’t mean they aren’t right as well.

3. FACTUALLY CORRECT ≠ VALID ARGUMENT

Even if you are factually correct with your statistic’s interpretation, and it is based on an acceptable data set, it doesn’t mean it has a direct link of causality with your argument and provides validation to the point you are trying to make.

For example, someone could argue that Checo is a safer pair of hands in races than Pierre, because over the course of the 2024 season he has DNFed 2 out of 21 races, meanwhile Pierre has DNFed 3 out of 21 races. However, the point being argued here is which driver is a safer pair of hands, and other variables than the drivers come into play when discussing those two’s DNFs.

Indeed, Checo drives a RedBull with a Honda engine, whilst Pierre drives an Alpine with a Renault engine. Out of Checo’s 2 DNFs, 2 were caused by driver mistakes. Out of Pierre’s 3 DNFs, 3 were caused by engine issues. The World’s Destructor Championship can also be used as a counterpoint to Checo being a safer pair of hands than Pierre by comparing damage bills.

Thus, instead of the conclusion being that Checo is a safer pair of hands than Pierre, the DNFs statistic is more appropriate to conclude that the Honda engine is more reliable than the Renault engine.

Which means that to make a valid argument, you need to be able to explain why the statistic presented is relevant and what it suggests. Alleviating circonstances also need to be taken into account to solidify the point being made.

For example, let’s imagine a scenario where Fernando is 1.235s off Lance during a qualifying run. To use this stat in an argument, you need to be able to justify why he was so far off. Was it genuine pace? Did he make a mistake which ruined the lap? Were they on the same tires? Was it track evolution? Are they on the same setup? Did Fernando come across traffic? Did Lance get a significant tow?

Contextualization matters twice as much as the actual statistic being presented, because the statistic without context can easily be manipulated in a way to drive a certain agenda.

4. CONCLUSION

All in all, what I’m trying to say is that even maths can be used to drive agendas. Statistics can not be taken at face value, because there are multiple factors that can influence their relevance. I hope you found this little guide helpful, and that it will help you analyze better the information you see online on how drivers are performing (or argue better with crazed fans, you do you 🫡)

Thanks for reading and have a good day!

[collegefootballcountdown]

COUNTDOWN 126

[gayf1hoe]

Introduction

Y/N finds himself at the forefront of the F1 media. He is propelled to a team at the bottom of the Constructors Chamionship.

Can a man who doesn't settle for second best prosper in a car that isn't best known for its capabilites.

But amongst the turmoil he finds a face that is a beacon of love and support.

So will their love be smooth sailing or will they have to navigate incredible twists and turns.

[littlefoldedpaperstars]

up the wolves by the mountain goats IS in fact the most foxhole court-aftg-foxes winning the chamionships coded song ever. I mean come on:

"there's bound to be a ghost at the back of your closet/no matter where you live/there'll always be a few things maybe several things/that you're gonna find really difficult to forgive" being the first lyrics

and at the end...

"I'M GONNA GET MYSELF IN FIGHTING TRIM/SCOPE OUT EVERY ANGLE OF UNFAIR ADVANTAGE/I'M GONNA BRIBE THE OFFICIALS/I'M GONNA KILL ALL THE JUDGES/IT'S GONNA TAKE YOU PEOPLE YEARS TO RECOVER FROM ALL OF THE DAMAGE"

a little corny and on the nose? maybe, but it still shakes me to my core.

anyway i am ILL over this song and how it simply embodies aftg. when that last part plays i simply ascend im sorry i never thought i would be obsessed with the mountain goats but here we are.

[saleemb]

sso championships but im a lol player and basically gets very angry very easily every time im not first (fortunately, i am the chamionship god, and i ALWAYS WIN) :p

[perpetuallydaydreaming]

quick what’s 6x7?

chamionship cups

tensions run high during the quidditch league cups. when your favoured team loses, theres an annoying git that keeps replying to your tweets. not one to back down from a fight, you respond. chaos then ensues.

<< previous | chapter 16 | next >>

fun facts:

— james is surprisingly innocent when it comes to dating, you’d think he’d be a total ladies man but women and men alike takes one look at him and goes, yeah there’s no way he’s single i’m not even gonna try.

— james bought a multiplication table poster and its plastered on his ceiling. after yn basically revealed to the world he doesnt know his multiplication table