Jack, I will explain the problem here first in a mathematical rather than physical way. The mathematical issue at play here is that the operation you are proposing is not well-defined at the level of basic physics. Let's take a look at some situations in math where this type of problem crops up that have nothing to do with physical units.
In calculus, we have $\int_a^b f(x)\,dx = F(b) - F(a)$ where $F(x)$ is any antiderivative of $f(x)$. What if someone came along and asked if a new operation $I(f,a,b) = F(b) + F(a)$ has any useful meaning in terms of the original function $f(x)$ and interval $[a,b]$. It does not, because if you change the antiderivative you change the answer. For any two antiderivatives $F(x)$ and $G(x)$ of $f(x)$, they differ by a constant, say $G(x) = F(x) + C$. This means that a difference of antiderivatives of $f(x)$ at $a$ and $b$ is independent of the choice of antiderivatives but a sum of antiderivatives of $f(x)$ at $a$ and $b$ is not:
$$
G(b) - G(a) = (F(b) + C) - (F(a) + C) = F(b) - F(a)
$$
while
$$
G(b) + G(a) = (F(b) + C) + (F(b) + C) = F(b) + F(a) + 2C,
$$
which is not $F(b) + F(a)$ unless $C = 0$ (i.e., $G(x) = F(x)$). So a difference of values of an antiderivative of $f(x)$ is a well-defined number in terms of the original function $f(x)$, but a sum of values of an antiderivative is not. If you want to provide a definite real number from an antiderivative of $f(x)$, and have that definite number be determined solely by $f(x)$ and not the choice of antiderivarive, differences make sense but sums do not. By the way, this has a role in physics: potential energy is only defined up to an overal additive constant, which explains why a difference of potential energy values has a physical meaning but a sum of potential energy values does not.
Another example is in geometry. We add angles but we don't ever multiply angles. Is there a mathematical problem with multiplying angles? Yes: angle measurement is intrinsically only determined up to an integer multiple of $2\pi$, and this property is respected by addition but not by multiplication. If $\theta_2 = \theta_1 + 2\pi{k}$ and $\varphi_2 = \varphi_1 + 2\pi{\ell}$ for some integers $k$ and $\ell$, then
$$
\theta_2 + \varphi_2 = \theta_1 + \varphi_1 + 2\pi(k+\ell),
$$
so the two sums $\theta_2 + \varphi_2$ and $\theta_1 + \varphi_1$ are again equal up to an integer multiple of $2\pi$. However,
$$
\theta_2\varphi_2 = \theta_1\varphi_1 + 2\pi(k\varphi_1 + \ell\theta_1 + 2\pi{k}\ell)
$$
and $k\varphi_1 + \ell\theta_1 + 2\pi{k}\ell$ is not an integer all the time. (If you have had abstract algebra, I could say the "problem" here is that $2\pi{\mathbf Z}$ is a subgroup of ${\mathbf R}$ but not an ideal in ${\mathbf R}$, so the quotient ${\mathbf R}/2\pi{\mathbf Z}$ can be given the structure of an additive group but not a ring.) If you want to say "but I can talk about $\sin(xy)$ for any numbers $x$ and $y$, and that is multiplying angles", I'd say it is not: in the expression $\sin(xy)$ with real variables $x$ and $y$, the numbers $x$ and $y$ must be regarded as real numbers, not angles. The story is different with $\sin(2x)$, which is well-defined when $x$ is thought of as an angle (a number up to addition by an integral multiple of $2\pi$). This distinction is why the $x$ in a Fourier series
$$
f(x) = \sum_{n \in {\mathbf Z}} c_ne^{2\pi{i}nx}
$$
can be thought of as lying on a circle if you wish, but the $x$ in a Fourier transform
$$
({\mathcal F}f)(x) = \int_{{\mathbf R}} f(y)e^{2\pi{i}xy}\,dy
$$
can not and must be thought of on the real line: the Fourier transform is not a $2\pi$-periodic function of $x$, so it is not well-defined to regard the Fourier transform as a function on the unit circle.
In linear algebra, the trace of a linear operator $A \colon V \rightarrow V$ on a finite-dimensional vector space is defined to be $\sum_{i} a_{ii}$ where $(a_{ij})$ is a matrix representation of $A$ in a basis of $V$. It is crucial that that this sum is independent of the choice of basis. We used a basis to compute the trace, but if you want the trace to be a function purely of the operator $A$ then it has to have the same value no matter what basis you use on $V$. In a linear algebra course you learn that the trace is independent of the basis used to compute it. On the other hand, the "anti-trace" $\sum_{i} a_{i,n+1-i}$ (sum on the antidiagonal) or "border trace" (sum around the boundary of a matrix representation of $A$) are not well-defined because if you change the basis then the new matrix representation has a different value for its anti-trace or border trace. That's why you never hear anyone talk about such sums in linear algebra, since they are not well-defined functions of the original operator: they depend on the choice of basis. To the extent you agree that geometric concepts should not depend on your choice of coordinate system, you'll agree that useful concepts in linear algebra should be independent of the choice of basis.
In algebraic geometry, polynomials are not well-defined functions on projective space since their values change if the homogeneous coordinates change. But ratios of homogeneous polynomials of the same degree do give the same answer for all homogeneous coordinates of a point, and that is why ratios of homogeneous polynomials of the same degree are the natural functions on projective space.
In grade school math, addition of fractions is not $(a/b) + (c/d) = (a+c)/(b+d)$, since this operation is not well-defined: although 1/2 = 5/10 and 3/4 = 6/8, this fake way of combining fractions by adding numerators and denominators doesn't lead to the same answer when you change the way you write the fraction: $(1+3)/(2+4) = 4/6$ and $(5+6)/(10+8) = 11/18 \not= 4/6$. If you were to fix a preferred representation of fractions, such as the representation using relatively prime numerator and denominator with a positive denominator, then this "add the numerators and add the denominators" is a well-defined operation, but it would be very awkward to use because it would depend on the way you write the fractions. This fake addition does have an interesting application, which you'll learn if you read about Farey fractions; it just doesn't correspond to addition, so we shouldn't denote it as +, and it does not generalize to fractions where the numerator and denominator are in a ring that lacks unique factorization (and a preferred choice of unit multiple of each nonzero element).
If you don't think having operations be well-defined is important in math then you're going to be in for a mountain of trouble when you learn algebra (quotient groups) or differential geometry (manifolds), where you regularly have to define functions by making a choice and then check the answer is independent of the choice that was made (a choice could mean a coset representative or a choice of coordinate system near a point).
And if you don't think issues of "units" occur in math, you're mistaken. They are just hidden enough that you may not notice them. To measure angles we prefer to use radians. If you wanted to use other systems of measuring angles then the familiar derivative formulas for trigonometric functions would change: while $\sin'(x) = \cos(x)$ when $x$ is an angle in radians, if you change $x$ to degrees then $\sin'(x) = (\pi/180)\cos(x)$. We prefer radians because they lead to the simplest calculus formulas, without any weird factors like $\pi/180$ showing up. In Fourier analysis, some prefer to define the Fourier transform using $e^{ixy}$ instead of $e^{2\pi{i}xy}$, and then factors of $2\pi$ or $\sqrt{2\pi}$ start showing up in other formulas from Fourier analysis such as Parseval's formula. In linear algebra, we prefer to take as the "natural" isomorphism from a finite-dimensional vector space $V$ to its double dual space the mapping $v \mapsto {\rm ev}_v$, where ${\rm ev}_v(\varphi) = \varphi(v)$ for all linear functionals $\varphi$ on $V$, but there are other possibilities, namely $v \mapsto c\cdot{\rm ev}_v$ for any nonzero element $c$ of the underlying scalar field. Category-theoretic arguments show that these are essentially the only possible natural isomorphisms to the double-dual space.
Now I'll turn to physical measurements. If you want to add a length and a time together, you need to recognize that there is no natural standard for measuring either of these quantities: any two systems of measuring length differ by a scaling factor, and any two systems of measuring time differ by a scaling factor. Even if everyone on our planet used the metric system, it doesn't make that system physically profound. At some point in the past someone picked a length and declared it one meter, but that human convention doesn't have any physical importance. (If you think metric units are actually an essential part of the fabric of nature, then something has gone badly wrong in your education. Maybe the "radius of the electron" or the Planck length could be considered a physically fundamental length, but your question is on a much more elementary level than that.) The link between different measurements of the same physical quantity is not always just a scaling factor (temperature is the best example of that, where $F = (9/5)C + 32$), but for simplicity let's stick to conversions between different systems of measurement as being just scaling factors.
Because of the physical "fact" that different systems of measuring the same physical concept differ by a scaling factor, a physical measurement can be thought of as a real-valued function defined up to an overall positive scaling factor. If $f$ and $g$ are two ways of measuring the same physical quantity, then $g = cf$ for some positive $c$. For instance, if we are measuring length ($L$) and write $f_L$ for the meter-function and $g_L$ for the feet-function, then $c = 3.28$: $g_L(x) = 3.28f_L(x)$ (that is, to convert from meters to feet, multiply the meters value by 3.28). If we are measuring time ($T$), with $f_T$ for the second-function and $g_T$ for the minute-function, then $c = .016$: $g_T(y) = .016f_T(y)$ (to convert from seconds to minutes, multiply the second value by .016). Now ask yourself: if a function is defined up to an overall scaling factor, and another function is defined up to an overall scaling factor, what can I do with them and keep the result defined up to an overall scaling factor? You can multiply them or divide them, but you can't add them.
For example, if $g_L = 3.28f_L$ and $g_T = .016f_T$, then $g_L/g_T = 205f_L/f_T$. Recalling what these functions meant above, this last equation says if you want to convert from meters per second to feet per minute, multiply by 205. And $g_Lg_T = .05248f_Lf_T$, so to convert from meters-seconds (whatever that means) to feet-minutes, multiply by .05248.
Let's finally try addition: if $g_L = 3.28f_L$ and $g_T = .016f_T$, is $g_L + g_T = c(f_L+f_T)$ for some $c > 0$? This is the test for whether addition of measurements is well-defined. Since $g_L + g_T = 3.28f_L + .016f_T$, you want $3.28f_L + .016f_T = c(f_L + f_T)$, so you need $(3.28-c)f_L = (c-.016)f_T$, and therefore $f_L = ((c-.016)/(3.28-c))f_T$. In other words, you need to be able to convert between length and time: length and time have to be different ways of measuring the same thing. Are they? At an elementary level they are not, and that is why you can't add length and time physically.
To add two physical measurements in a well-defined way, we have seen (for the examples of length and time) that the two quantities you're measuring have to be convertible into each other. In relativity, we learn that the speed of light is a fundamental physical speed, and if we decide it is truly fundamental we can use it to convert between length and time. In general relativity it is convenient to declare the speed of light to be 1, which sets a definite conversion between meters and seconds, or feet and seconds, or any preferred choice of measuring length and time so that the value of the speed of light using those systems of measurement turns out to be 1. (It's like our preference for radians to degrees because in calculus the use of radians makes certain coefficients in derivative formulas equal to 1.) Once you have a standard for turning length into time then you can add length and time, and then all you're doing is adding length and length. Google the term "Planck units" to see how fundamental physical theories lead to a way of converting between mass, length, and time.
I'll leave it to you to decide what this viewpoint has to say about the physical possibility of adding meters and feet. Hint: be careful about whether you're dealing with functions of the same object or different objects.