2019: 1. Circles 2020: 1. Blinding Lights 2. The Box 3. Mood 4. Rockstar 5. I Hope 6. Don't Start Now 7. Go Crazy 8. Life Is Good 9. Adore You 10. What's Poppin' 2021: 1. Levitating 2. Stay 3. Save Your Tears 4. Good 4 U 5. Bad Habits 6. Kiss Me More 7. Industry Baby 8. Easy On Me 9. Shivers 10. Leave The Door Open 11. Need To Know 12. Driver's License 13. Montero (Call Me By Your Name) 2022: 1. Heat Waves 2. As It Was 3. Anti-Hero 4. You Proof 5. Creepin' 6. Wait For U 7. About Damn Time 8. Ghost 9. Cold Heart 10. Unholy 2023: 1. Last Night 2. Flowers 3. Kill Bill 4. Snooze 5. Fast Car 6. Cruel Summer 7. I Remember Everything 8. Calm Down 9. Die For You 10. Lovin' On Me 11. Something In The Orange 12. Thinkin' Bout Me 2024: 1. Lose Control 2. Beautiful Things 3. A Bar Song (Tipsy) 4. I Had Some Help Definitely noticing a pattern here, with longevity mattering a lot more than peak, using this alternative method. Making Heat Waves surpass As It Was in points, and songs like You Proof and Need To Know shooting up way higher.
I would say it makes more sense to use inverse-points, as music consumption rarely remains the same across a 10 years-long period. I mean, an inverse-points system allows you to compare two songs regardless of the time period they come from, as it's easier to determine objective multipliers for it when compared to real points.
I disagree with inverse points as currently implemented because it gives far too much value to #1s (~50% more points than even #2), top 5s, and top 10s, to the point that songs like Too Sweet and Beautiful Things are getting functionally dirt in their current placements despite in real points being well above everything outside of the top 15 at this point.
1:17 “Something in the orange tells me I’M VANILLA BABY, I’LL CHOKE YOU BUT I AIN’T NO KILLA BABY”🗣️🗣️
2019:
1. Circles
2020:
1. Blinding Lights
2. The Box
3. Mood
4. Rockstar
5. I Hope
6. Don't Start Now
7. Go Crazy
8. Life Is Good
9. Adore You
10. What's Poppin'
2021:
1. Levitating
2. Stay
3. Save Your Tears
4. Good 4 U
5. Bad Habits
6. Kiss Me More
7. Industry Baby
8. Easy On Me
9. Shivers
10. Leave The Door Open
11. Need To Know
12. Driver's License
13. Montero (Call Me By Your Name)
2022:
1. Heat Waves
2. As It Was
3. Anti-Hero
4. You Proof
5. Creepin'
6. Wait For U
7. About Damn Time
8. Ghost
9. Cold Heart
10. Unholy
2023:
1. Last Night
2. Flowers
3. Kill Bill
4. Snooze
5. Fast Car
6. Cruel Summer
7. I Remember Everything
8. Calm Down
9. Die For You
10. Lovin' On Me
11. Something In The Orange
12. Thinkin' Bout Me
2024:
1. Lose Control
2. Beautiful Things
3. A Bar Song (Tipsy)
4. I Had Some Help
Definitely noticing a pattern here, with longevity mattering a lot more than peak, using this alternative method. Making Heat Waves surpass As It Was in points, and songs like You Proof and Need To Know shooting up way higher.
I'd put "Something in the Orange" in 2022 if "I Remember Everything" is 2023
Espresso and maybe NLU are coming for 2024 team [tho likely in both methods]
I must be old, I don’t recognize any of these songs
you probably are!
DUA LIPA forever
So which formula does it make sense for Billboard to use?
I would say it makes more sense to use inverse-points, as music consumption rarely remains the same across a 10 years-long period. I mean, an inverse-points system allows you to compare two songs regardless of the time period they come from, as it's easier to determine objective multipliers for it when compared to real points.
I disagree with inverse points as currently implemented because it gives far too much value to #1s (~50% more points than even #2), top 5s, and top 10s, to the point that songs like Too Sweet and Beautiful Things are getting functionally dirt in their current placements despite in real points being well above everything outside of the top 15 at this point.