Care: Wash in cold inside out with similar dark colors no bleach, low tumble dry
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[74] Dosage The first factor, dosage, has been a truism since ancient times, or at least since Paracelsus who said, "Dose makes the poison." Some compounds are beneficial or pleasurable when consumed in small amounts, but harmful, deadly, or evoke discomfort in higher doses
Often, it can: Make your senses stronger (colors might seem brighter and sounds might seem louder) Twist your sense of time Decrease your motor skills (which can make driving more dangerous) Lower your impulse control Make it harder for you to focus, learn, and remember things (which may last 24 hours or longer) Marijuana side effects You could also have: A dry mouth Dizziness Upset stomach Increased hunger Sleepiness Hallucinations (see things that aren't there) Increased heart rate (which can last a few hours after you stop smoking) Marijuana Benefits It appears that weed may help with: Ongoing pain Stiff muscles or muscle spasms from multiple sclerosis Sleep problems for those with fibromyalgia, multiple sclerosis, and sleep apnea Anxiety Loss of appetite and weight loss in people with AIDS Nausea or throwing up from chemotherapy Seizures from epilepsy Dravet syndrome or Lennox-Gastaut syndrome Even so, more research needs to be done, especially on marijuana's long-term effects
synth2 cigsale lnincome age15to24 retprice beer /// cigsale(1988) cigsale(1980) cigsale(1975), /// trunit(3) trperiod(1989) xperiod(1980(1)1988) /// nested allopt The key options are: trunit(3) treated unit is California (state == 3) trperiod(1989) treatment begins in 1989 xperiod(1980(1)1988) average covariates over 19801988 for matching nested use nested optimization (outer V-weights, inner W-weights) allopt try multiple starting values to avoid local optima Pre-treatment fit Fitting results in the pretreatment periods: Treated Unit: California Treatment Time: 1989 Number of Control Units = 38 Root Mean Squared Error = 1.75567 Number of Covariates = 7 R-squared = 0.97434 The synthetic control explains 97.4% of the pre-treatment variation in Californias cigarette sales (R-squared = 0.974), with a Root Mean Squared Error (RMSE) of just 1.76 packs per capita
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