After tracking approximately 130 students' TABE scores — the Test of Adult Basic Education used for GED placement — I found something that surprised most people I told it to: reading comprehension scores predicted applied math performance more reliably than language arts scores did.
Think about that for a moment. Reading predicted math better than language arts predicted math. The two subjects most people group together — reading and writing — were less connected to each other, in terms of predictive value, than reading was to mathematics.
Once I understood why, it became obvious. But first let me explain what the data showed.
What the correlation actually means
The GED math section — like most standardized math tests — is primarily word problems. Not pure computation. Word problems. Before a student can apply any mathematical procedure, they have to read the problem precisely enough to understand what is being asked, identify which pieces of information are relevant, and set up the problem correctly.
A student who reads at a fifth-grade level and encounters a word problem will misread the question before they ever touch the math. They will solve the wrong problem. They will get the wrong answer. And if you look at their work, it will appear that they don't know the math — when actually they don't know what the question was asking.
What this changes in practice
This finding changed how I begin with every student. The reading baseline comes first. Not because I am going to spend sessions on reading comprehension as a separate subject — but because the reading baseline tells me where the math ceiling is before we touch a single equation.
A student with strong computational skills but weak reading comprehension will hit a ceiling on applied math that has nothing to do with their mathematical ability. Drilling more math procedures will not fix that ceiling. The bottleneck is upstream. You have to address it there.
Conversely, a student with strong reading comprehension and weak computational fluency is in a much more fixable position. They can extract what a problem is asking. They just need to build the procedural tools to solve it once they know what it is. That is a straightforward remediation path.
What this means for how you study
When you get a math problem wrong, before you conclude that you don't know the math — re-read the problem. Slowly. Read it like a contract, not like a text message. Underline what you are being asked to find. Circle the numbers. Identify what each number represents before you decide what to do with it.
Most word problem errors happen before the first calculation. The setup is wrong. The setup is wrong because the problem was read imprecisely. Fix the reading and a significant portion of the math errors go away without touching the math at all.
This is not a secondary skill. It is the primary skill. Mathematics is a precise language. Learning to read it precisely is not separate from learning mathematics — it is mathematics.