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956 Worldwide

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956 Worldwide last won the day on April 17

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  1. Is her name pronounced like the makeup brand, or “Low-real” or “Lori-all.” Or something else?
  2. Why make housing more expensive for everyone to provide a benefit for only some classes of workers? If you’re doing a job in a community, that job is clearly needed by someone and it’s not obvious why those people shouldn’t also be able to afford to live close to work, too.
  3. Yeah, programs to help certain classes of buyers don’t do much to address the issue of prices being too high to begin with. The only way out is to increase supply and encourage efficient use. It needs to be economically not tenuous to park money in a single family home and then pay the mortgage with rent while treating the house as a long-term investment. It makes houses more expensive, it puts capital into piles of wood and shingles that aren’t making anything real for the economy. Ma and Pa investor need to be looking at index funds and business opportunities, not snapping up bungalows to extract rent. Obviously some carveouts for things like resort communities with no residents but once a certain number of single-family homes in an are become rental properties, penalties and incentives need to kick in to force sales t real people.
  4. We need more housing but we also need to do a better job incentivizing people and families to get in the right housing. We have too many retirees and empty-nesters occupying houses built for families and working families pushed into rentals and multi-family units. Entire neighborhoods clearly built to have bikes and kids that are deathly quiet cul-de-sacs without a child in them. There needs to be incentives to sell those houses or get families into them somehow. Things like a luxury property tax that kicks in once a single family home slides under certain occupancy per square foot. Tax incentives for selling to real people and penalties for selling to developers or PE. Additional taxes on rents from single-family houses. But of course instead we are debating not making retirees pay property tax. Universal Boomer Income. You want those people to sell houses and go to a condo!
  5. The SEC agreed to this, but the thing is that it’s a total fiction to equate 9 SEC games with 9 Big XII or ACC games, no matter the opponents. It’s a polite fiction. And frankly, it was a demand that never should have been agreed to. It’s a clear competitive edge to those quasi-power conferences stocked up with refugees from the G5 and the castoffs of the PAC. Tech’s schedule is close to the bottom half of all FBS teams. The teams you’re whinging about played much harder schedules, no matter how many conference games are on the schedule. Putting the little (c) after games against the likes of Okie Light doesn’t legitimize them somehow and make them quality wins. You’re griping about Samford when your non-con was Kent, Arkie-Pine Bluff, and Oregon State. You scheduled zero P4 teams non-con and every SEC team did at least one, including bottom-barrel teams going undefeated against “quality” Big XII teams. STFU with your “nine conference games” bullshit.
  6. ND’s schedule is harder than Tech’s and it’s not even close. In every metric you choose ND is around the top 30 and Tech is 50 or below.
  7. Relevant: Fucking MBA brain. Every gotdamn. Time: “What if we don’t prepare the food and just have our customers cut their own salads” made it out of committee.
  8. Sark’s squat game is weak. On the balls of his feet. Temporary, appears to be crouching in fear. As an Armenian he should have been in close enough proximity to use the superior, menacing gopnik Slav squat. Flat-footed: you don’t need a chair in Eastern Europe. In your face, unafraid. Bringing a “about to smash you in the face with a cheap vodka bottle” vibe to the function. Blyad.
  9. I’ll be curious to watch Klein. Elko gave up quite a bit of his value to increase the assistant pool and incentives. Klein can afford to wait for the right time and job— but far from a guarantee next year’s roster and schedule will make him look as sexy as this year’s. But if OSU isn’t ready to up its game to play with the Techs and BYUs of the Big XII, that’s a P5 job that can kill a career on the vine.
  10. HR and its splinter sects needs to be mercilessly suppressed as a foreign and anti-American practice and ideology. Hire a talented manager of anything, aligned with organization goals, and pay them well to run personnel departments. Give them some employment lawyers and clerks and let them figure it out.
  11. Oregon looks pretty good vs the others in this chart. Mostly green. - You can color 31 SOS red and color 27 SOS green but the difference is negligible. Four spots of difference out of 120+ FBS teams. That’s not an important gap and without common opponents it becomes self-referential anyway. The committee will not see a meaningful difference and neither should an observer. - Best win for Ducks is Iowa and best win for BYU is Utah. Ok, tells me nothing. Likewise the IU vs. Tech loss. Every year and every ranking style it’s the same shit: complaints about where individual teams fall, but almost no one bothers to actually restack and show their work. Team X is “overrated” but no one can explain who really belongs ahead. Offer a 25 team ranking that you feel is more defensible before you slam the one that you see, or call a team overrated. After 5-6 or so, I PROMISE I can find stats to trot out showing why you’re probably at least as wrong as the ranking you dont like: It’s absolutely baked in to trying to rack and stack 25 out of 120+. If I were sports media tsar I would ban hot takes about where a team deserves to be unless the commenter offers up his own full list and shows his work.
  12. To broaden the aperture: 3/6 of the top half of the bracket are not blue bloods. Add Tech and Oregon in there too. All with key portal additions. It may not happen this year; it will happen one year. Playoffs make it weird. 2023 recruiting rankings are pointless. Who is stil on the roster? Who got brought in? The churn is unbelievable.
  13. That is a long and well-thought out post. I think the key difference you’re not accounting for is the portal and how it changes the game. The model of “stack five stars, keep them and roll a three deep” isn’t the model. It’s “sign as many 5 stars as you can. Dump the dead weight and rob G5/lower tier P4 for the gems you missed the first go-round.” And that is a different game that involves money, planning, and timing more like a pro team than the old model. Keeping a 5* mid on roster does nothing when you can go get a former 3* who busted out. You can’t project next year’s roster. In Jan. 25, Texas had a much better WR room than A&M. Now you would absolutely trade for ours straight up. No honest poster on this board will deny that. Will you next year? Maybe. Maybe not. The point is, a smart team and coach can create their own WR room and pass the team who stocked the blue chips. Likewise with OL. Two of our starters are transfers. The unit is a Joe Moore semi-finalist. We didn’t get all those guys in HS. We took nthem from Kansas and Utah. Colin Simmons is a future first rounder you signed in HS. Cashius Howell is a likely first rounder we stole from Bowling Green. It doesn’t make a a shit how they got on the field. What matters is the sacks and TFL they deliver now. There is another Howell out there and someone will grab him. You can shit on Tech’s recruiting but Bailey is a first rounder. Rodriguez is having the best season for an MLB since Teo. The gap isn’t near as big as you think it is.
  14. As best as I can tell, ESPN accounts for momentum by updating their model in-game based on previous plays/drives as they happen. What fans and even players feel as “momentum” is a descriptive feeling of what has happened and doesn’t have predictive power. Which makes a lot of sense, as we all can remember when our team had ALL the “momentum” and then suddenly the other team “grabbed it back” with an ill-timed INT, or fumble, or explosive play, or ST mistake, or great defensive stand, or soul-crushing long drive. The models can’t account for momentum but they come closer at explaining how likely it is that the other team does something like the above.
  15. ESPN has a vast set of data and it updates algorithmically. A huge portion is historical data— similar scores, similar points on field at gametime, home vs away and also includes FPI data for relative team strength/weakness. 25 percent is probably about right for a team that has trailed most of the game, away, late in the 3rd. I understand the analytics geeks admit that models collapse in tight games late in the 4th through overtime.
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