>>19164
Took me a while to figure out wtf is going on with that chart, but it seems they kept everything intact except the X-axis which is blatantly manipulated.
Taking this chart >>19139 and some math:
>>> def f(x, y):
... return (x[1] - y[1]) / (x[0] - y[0]).days * 7
...
>>> f(*[(datetime(2026,6,12), 200), (datetime(2026,7,10),170)])
-7.5
>>> f(*[(datetime(2026,6,19), 193), (datetime(2026,7,10),170)])
-7.666666666666668
mostly checks out. But the second chart?
>>> f(*[(datetime(2026,6,15), 185), (datetime(2026,10,3),162)])
-1.4636363636363636
>>> f(*[(datetime(2026,7,13), 179.5), (datetime(2026,10,3),162)])
-1.4939024390243902
Unless I entered the dates wrong that's clearly not 6.2M bbl/wk.