Trust the Math
Men's T-Shirt
Trust the Math
Men's T-Shirt
$22.49
Color: black
normal fit
Men's T-Shirt is in stock. We will print it as soon as you order it.
Delivery time: 5/2/24 - 5/5/24 (Standard)
Classic-cut standard weight T-shirt for men | Brand: Fruit of the Loom | 100% pre-shrunk cotton, (heather gray color is 90% cotton/10% polyester, light heather gray is 98% cotton/2% polyester, heather black & safety yellow are 50% cotton/50% polyester)
Product Details
This is our best seller for a reason. Relaxed, tailored and ultra-comfortable, you'll love the way you look in this durable, reliable classic.
- Brand: Fruit of the Loom | Product ID: 3930
- 100% pre-shrunk cotton that is USA grown and sustainably sourced. (heather gray color is 90% cotton/10% polyester, light heather gray is 98% cotton/2% polyester, heather black and safety yellow are 50% cotton/50% polyester) | Fabric Weight: 5.0 oz (mid-weight)
- Double-stitched seams at shoulder, sleeve, collar and waist
- Tear-away label for added comfort
- Imported; processed and printed in the U.S.A.
- Size 3XL available for colors: white, black, navy, royal, bright green, red, light heather gray, forest green, orange, burgundy, purple, heather gray, charcoal, heather black, turquoise, denim, yellow, aquatic blue
- Size 4XL available for colors: white, black, navy, royal, red, light heather gray, forest green, orange, heather gray, charcoal, heather black, denim, yellow, aquatic blue
- Size 5XL and 6XL available for colors: white, black, navy, royal, red, light heather gray, forest green, heather gray, charcoal, heather black
Product dimensions measured on a flatly laid out product.
Size
A (inch)
B (inch)
C (inch)
27.99
17.99
7.48
28.98
19.49
7.48
30.0
21.97
7.72
30.98
23.98
7.72
31.97
25.98
8.74
32.48
27.48
8.74
34.49
28.98
8.74
35.0
30.98
8.74
37.48
32.99
8.74
Tip: measure an item of clothing at hand to compare.
Trust the Math
This design is a reference to backdoors introduced by the NSA in certain tech products. It's also a quote from Bruce Schneier who believes that only math, not implementations, are to be trusted.